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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

IT & Computer Science Research Topics

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: CompSci Research Topics

  • Algorithms & data structures
  • Artificial intelligence ( AI )
  • Computer networking
  • Database systems
  • Human-computer interaction
  • Information security (IS)
  • Software engineering
  • Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

  • An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
  • A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
  • An evaluation of machine learning algorithms used for recommender systems in streaming services
  • A review of approximation algorithm approaches for solving NP-hard problems
  • An analysis of parallel algorithms for high-performance computing of genomic data
  • The influence of data structures on optimal algorithm design and performance in Fintech
  • A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
  • A comparison of streaming algorithm performance for the detection of elephant flows
  • A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
  • Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
  • Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
  • A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
  • A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
  • Exploring the feasibility of applying information theory to feature extraction in retail datasets.
  • Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

  • Applying deep learning algorithms for speech recognition in speech-impaired children
  • A review of the impact of artificial intelligence on decision-making processes in stock valuation
  • An evaluation of reinforcement learning algorithms used in the production of video games
  • An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
  • An analysis of the ethical and social implications of artificial intelligence-based automated marking
  • The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
  • An examination of the use of artificial intelligence in orthopaedic surgery
  • The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
  • An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
  • A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

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Topics & Ideas: Networking

  • An analysis of the impact of 5G technology on internet penetration in rural Tanzania
  • Assessing the role of software-defined networking (SDN) in modern cloud-based computing
  • A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
  • Exploring the influence of cloud computing on security risks in fintech.
  • An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
  • Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
  • An evaluation of the challenges and opportunities in 6G wireless network adoption
  • The role of network congestion control algorithms in improving network performance on streaming platforms
  • An analysis of network coding-based approaches for data security
  • Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

  • An analysis of big data management systems and technologies used in B2B marketing
  • The impact of NoSQL databases on data management and analysis in smart cities
  • An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
  • Exploring the role of data warehousing and business intelligence in global consultancies
  • An analysis of the use of graph databases for data modelling and analysis in recommendation systems
  • The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
  • An examination of the challenges and opportunities of distributed databases in supply chain management
  • Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
  • An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
  • Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

  • An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
  • An exploration of how artificial intelligence is changing human-computer interaction patterns in children
  • An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
  • Assessing the influence of virtual and augmented reality on consumer purchasing patterns
  • An examination of the use of gesture-based interfaces in architecture
  • Exploring the impact of ease of use in wearable technology on geriatric user
  • Evaluating the ramifications of gamification in the Metaverse
  • A systematic review of user experience (UX) design advances associated with Augmented Reality
  • A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
  • Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

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Topics & Ideas: Information Security

  • A bibliometric review of current trends in cryptography for secure communication
  • An analysis of secure multi-party computation protocols and their applications in cloud-based computing
  • An investigation of the security of blockchain technology in patient health record tracking
  • A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
  • A systematic review of secure data storage solutions used for cloud computing in the fintech industry
  • An analysis of intrusion detection and prevention systems used in the healthcare sector
  • Assessing security best practices for IoT devices in political offices
  • An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
  • A comparative study of digital signature schemes adoption in property transfers
  • An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

  • A study of agile software development methodologies and their impact on project success in pharmacology
  • Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
  • A study of the impact of DevOps practices on software development and delivery in the healthcare sector
  • An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
  • A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
  • An investigation of software testing techniques and methodologies for subscription-based offerings
  • A review of software security practices and techniques for protecting against phishing attacks from social media
  • An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
  • Exploring the impact of software development outsourcing on project success in multinational contexts
  • An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

  • An array-based optimization framework for query processing and data analytics (Chen, 2021)
  • Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
  • Embedding constructural documentation in unit tests (Nassif, 2019)
  • PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
  • Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
  • Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
  • Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
  • Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
  • Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
  • Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
  • Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
  • A state-based approach to context modeling and computing (Yue, 2019)
  • A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
  • HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

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Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

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100 Great Computer Science Research Topics Ideas for 2023

Computer science research paper topics

Being a computer student in 2023 is not easy. Besides studying a constantly evolving subject, you have to come up with great computer science research topics at some point in your academic life. If you’re reading this article, you’re among many other students that have also come to this realization.

Interesting Computer Science Topics

Awesome research topics in computer science, hot topics in computer science, topics to publish a journal on computer science.

  • Controversial Topics in Computer Science

Fun AP Computer Science Topics

Exciting computer science ph.d. topics, remarkable computer science research topics for undergraduates, incredible final year computer science project topics, advanced computer science topics, unique seminars topics for computer science, exceptional computer science masters thesis topics, outstanding computer science presentation topics.

  • Key Computer Science Essay Topics

Main Project Topics for Computer Science

  • We Can Help You with Computer Science Topics

Whether you’re earnestly searching for a topic or stumbled onto this article by accident, there is no doubt that every student needs excellent computer science-related topics for their paper. A good topic will not only give your essay or research a good direction but will also make it easy to come up with supporting points. Your topic should show all your strengths as well.

Fortunately, this article is for every student that finds it hard to generate a suitable computer science topic. The following 100+ topics will help give you some inspiration when creating your topics. Let’s get into it.

One of the best ways of making your research paper interesting is by coming up with relevant topics in computer science . Here are some topics that will make your paper immersive:

  • Evolution of virtual reality
  • What is green cloud computing
  • Ways of creating a Hopefield neural network in C++
  • Developments in graphic systems in computers
  • The five principal fields in robotics
  • Developments and applications of nanotechnology
  • Differences between computer science and applied computing

Your next research topic in computer science shouldn’t be tough to find once you’ve read this section. If you’re looking for simple final year project topics in computer science, you can find some below.

  • Applications of the blockchain technology in the banking industry
  • Computational thinking and how it influences science
  • Ways of terminating phishing
  • Uses of artificial intelligence in cyber security
  • Define the concepts of a smart city
  • Applications of the Internet of Things
  • Discuss the applications of the face detection application

Whenever a topic is described as “hot,” it means that it is a trendy topic in computer science. If computer science project topics for your final years are what you’re looking for, have a look at some below:

  • Applications of the Metaverse in the world today
  • Discuss the challenges of machine learning
  • Advantages of artificial intelligence
  • Applications of nanotechnology in the paints industry
  • What is quantum computing?
  • Discuss the languages of parallel computing
  • What are the applications of computer-assisted studies?

Perhaps you’d like to write a paper that will get published in a journal. If you’re searching for the best project topics for computer science students that will stand out in a journal, check below:

  • Developments in human-computer interaction
  • Applications of computer science in medicine
  • Developments in artificial intelligence in image processing
  • Discuss cryptography and its applications
  • Discuss methods of ransomware prevention
  • Applications of Big Data in the banking industry
  • Challenges of cloud storage services in 2023

 Controversial Topics in Computer Science

Some of the best computer science final year project topics are those that elicit debates or require you to take a stand. You can find such topics listed below for your inspiration:

  • Can robots be too intelligent?
  • Should the dark web be shut down?
  • Should your data be sold to corporations?
  • Will robots completely replace the human workforce one day?
  • How safe is the Metaverse for children?
  • Will artificial intelligence replace actors in Hollywood?
  • Are social media platforms safe anymore?

Are you a computer science student looking for AP topics? You’re in luck because the following final year project topics for computer science are suitable for you.

  • Standard browser core with CSS support
  • Applications of the Gaussian method in C++ development in integrating functions
  • Vital conditions of reducing risk through the Newton method
  • How to reinforce machine learning algorithms.
  • How do artificial neural networks function?
  • Discuss the advancements in computer languages in machine learning
  • Use of artificial intelligence in automated cars

When studying to get your doctorate in computer science, you need clear and relevant topics that generate the reader’s interest. Here are some Ph.D. topics in computer science you might consider:

  • Developments in information technology
  • Is machine learning detrimental to the human workforce?
  • How to write an algorithm for deep learning
  • What is the future of 5G in wireless networks
  • Statistical data in Maths modules in Python
  • Data retention automation from a website using API
  • Application of modern programming languages

Looking for computer science topics for research is not easy for an undergraduate. Fortunately, these computer science project topics should make your research paper easy:

  • Ways of using artificial intelligence in real estate
  • Discuss reinforcement learning and its applications
  • Uses of Big Data in science and medicine
  • How to sort algorithms using Haskell
  • How to create 3D configurations for a website
  • Using inverse interpolation to solve non-linear equations
  • Explain the similarities between the Internet of Things and artificial intelligence

Your dissertation paper is one of the most crucial papers you’ll ever do in your final year. That’s why selecting the best ethics in computer science topics is a crucial part of your paper. Here are some project topics for the computer science final year.

  • How to incorporate numerical methods in programming
  • Applications of blockchain technology in cloud storage
  • How to come up with an automated attendance system
  • Using dynamic libraries for site development
  • How to create cubic splines
  • Applications of artificial intelligence in the stock market
  • Uses of quantum computing in financial modeling

Your instructor may want you to challenge yourself with an advanced science project. Thus, you may require computer science topics to learn and research. Here are some that may inspire you:

  • Discuss the best cryptographic protocols
  • Advancement of artificial intelligence used in smartphones
  • Briefly discuss the types of security software available
  • Application of liquid robots in 2023
  • How to use quantum computers to solve decoherence problem
  • macOS vs. Windows; discuss their similarities and differences
  • Explain the steps taken in a cyber security audit

When searching for computer science topics for a seminar, make sure they are based on current research or events. Below are some of the latest research topics in computer science:

  • How to reduce cyber-attacks in 2023
  • Steps followed in creating a network
  • Discuss the uses of data science
  • Discuss ways in which social robots improve human interactions
  • Differentiate between supervised and unsupervised machine learning
  • Applications of robotics in space exploration
  • The contrast between cyber-physical and sensor network systems

Are you looking for computer science thesis topics for your upcoming projects? The topics below are meant to help you write your best paper yet:

  • Applications of computer science in sports
  • Uses of computer technology in the electoral process
  • Using Fibonacci to solve the functions maximum and their implementations
  • Discuss the advantages of using open-source software
  • Expound on the advancement of computer graphics
  • Briefly discuss the uses of mesh generation in computational domains
  • How much data is generated from the internet of things?

A computer science presentation requires a topic relevant to current events. Whether your paper is an assignment or a dissertation, you can find your final year computer science project topics below:

  • Uses of adaptive learning in the financial industry
  • Applications of transitive closure on graph
  • Using RAD technology in developing software
  • Discuss how to create maximum flow in the network
  • How to design and implement functional mapping
  • Using artificial intelligence in courier tracking and deliveries
  • How to make an e-authentication system

 Key Computer Science Essay Topics

You may be pressed for time and require computer science master thesis topics that are easy. Below are some topics that fit this description:

  • What are the uses of cloud computing in 2023
  • Discuss the server-side web technologies
  • Compare and contrast android and iOS
  • How to come up with a face detection algorithm
  • What is the future of NFTs
  • How to create an artificial intelligence shopping system
  • How to make a software piracy prevention algorithm

One major mistake students make when writing their papers is selecting topics unrelated to the study at hand. This, however, will not be an issue if you get topics related to computer science, such as the ones below:

  • Using blockchain to create a supply chain management system
  • How to protect a web app from malicious attacks
  • Uses of distributed information processing systems
  • Advancement of crowd communication software since COVID-19
  • Uses of artificial intelligence in online casinos
  • Discuss the pillars of math computations
  • Discuss the ethical concerns arising from data mining

We Can Help You with Computer Science Topics, Essays, Thesis, and Research Papers

We hope that this list of computer science topics helps you out of your sticky situation. We do offer other topics in different subjects. Additionally, we also offer professional writing services tailor-made for you.

We understand what students go through when searching the internet for computer science research paper topics, and we know that many students don’t know how to write a research paper to perfection. However, you shouldn’t have to go through all this when we’re here to help.

Don’t waste any more time; get in touch with us today and get your paper done excellently.

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cs thesis topics

How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2023-2024

  • Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
  • Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
  • Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
  • Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

  • Machine learning driven design
  • Generative models for structured discrete objects
  • Approximate inference in probabilistic models
  • Accelerating solutions to partial differential equations
  • Innovative uses of automatic differentiation
  • Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

  • Research Areas: Formal methods, programming languages, compilers, computer security.
  • Software verification (for which taking COS 326 / COS 510 is helpful preparation)
  • Game theory of poker or other games (for which COS 217 / 226 are helpful)
  • Computer game-playing programs (for which COS 217 / 226)
  •  Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

  • Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
  • Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). 
  • Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. 
  • Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
  • Any topic in theoretical computer science.

David August, Room 221

  • Research Areas: Computer Architecture, Compilers, Parallelism
  • Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system.   Let's explore ways to use containment to solve real problems.  Expect to work with corporate security and technology decision-makers.
  • Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures.  Let's find ways to realize this parallelism.
  • Any other interesting topic in computer architecture or compilers. 

Mark Braverman, 194 Nassau St., Room 231

Available for Spring 2024 single-semester IW, only

  • Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
  • Topics in computational and communication complexity.
  • Applications of information theory in complexity theory.
  • Algorithms for problems under real-life assumptions.
  • Game theory, network effects
  • Mechanism design (could be on a problem proposed by the student)

Sebastian Caldas, 221 Nassau Street, Room 105

  • Research Areas: collaborative learning, machine learning for healthcare. Typically, I will work with students that have taken COS324.
  • Methods for collaborative and continual learning.
  • Machine learning for healthcare applications.

Bernard Chazelle, 194 Nassau St., Room 301

  • Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. 
  • Natural algorithms (flocking, swarming, social networks, etc).
  • Sublinear algorithms
  • Self-improving algorithms
  • Markov data structures

Danqi Chen, Room 412

Not available for IW or thesis advising, 2023-2024

  • My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
  • Representation learning for text and knowledge bases
  • Pre-training and transfer learning
  • Question answering and reading comprehension
  • Information extraction
  • Text summarization
  • Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

Available for single-semester and senior thesis advising, 2023-2024

  • Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)

Jia Deng, Room 423

Available for Fall 2023 single-semester IW, only

  •  Research Areas: Computer Vision, Machine Learning.
  • Object recognition and action recognition
  • Deep Learning, autoML, meta-learning
  • Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

  • Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

  • Research Areas:  Software engineering; software engineering education.
  • Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
  • In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

Not available for IW or thesis advising, 2023-2024.

  • Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
  • Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

  • Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
  • Using RL algorithms to applications in science and engineering.
  • Emergent behavior of RL algorithms on high-fidelity robotic simulators.
  • Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

No longer available for single-term IW and senior thesis advising, 2023-2024

  • Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
  • Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
  • Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
  • Quantitative approaches to theoretical linguistics questions
  • Extensions and interfaces for WordNet (English and WN in other languages),
  • Applications of WordNet(s), including:
  • Foreign language tutoring systems,
  • Spelling correction software,
  • Word-finding/suggestion software for ordinary users and people with memory problems,
  • Machine Translation 
  • Sentiment and Opinion detection
  • Automatic reasoning and inferencing
  • Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424 

  • Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

No longer available for single-semester IW and senior thesis advising, 2023-2024

  • Networking and telecommunications
  • Learning, perception, and intelligence, artificial and otherwise;
  • Human-computer interaction and computer-supported cooperative work
  • Online education, especially in Computer Science Education
  • Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
  • Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308 

  • Research Areas: Distributed systems, security, networking
  • Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at for current research projects.

Ruth Fong, Room 032

  • Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
  • Develop a technique for understanding AI models
  • Design a AI model that is interpretable by design
  • Build a paradigm for detecting and/or correcting failure points in an AI model
  • Analyze an existing AI model and/or dataset to better understand its failure points
  • Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
  • Develop a software package for explainable AI
  • Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

  • Research Areas: Formal methods, program analysis, logic decision procedures
  • Finding bugs in open source software using automatic verification tools
  • Software verification (program analysis, model checking, test generation)
  • Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409  

  • Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
  • Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
  • Implementation and algorithm engineering for control, reinforcement learning and robotics
  • Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

  • Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
  • Optical Neural Networks
  • Hardware-in-the-loop Holography
  • Zero-shot and Simulation-only Learning
  • Object recognition in extreme conditions
  • 3D Scene Representations for View Generation and Inverse Problems
  • Long-range Imaging in Scattering Media
  • Hardware-in-the-loop Illumination and Sensor Optimization
  • Inverse Lidar Design
  • Phase Retrieval Algorithms
  • Proximal Algorithms for Learning and Inference
  • Domain-Specific Language for Optics Design

Kyle Jamieson, Room 306

  • Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
  • See other topics on my independent work  ideas page  (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

  • Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
  • Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
  • Software visualization tools for education
  • Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

  • Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
  • Application-oriented languages, scripting languages.
  • Tools; user interfaces
  • Digital humanities

Zachary Kincaid, Room 219

  • Research areas: programming languages, program analysis, program verification, automated reasoning
  • Independent Research Topics:
  • Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
  • Design a domain-specific programming language, or prototype a new feature for an existing language.
  • Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Aleksandra korolova, 309 sherrerd hall.

Available for single-term IW and senior thesis advising, 2023-2024

  • Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Amit Levy, Room 307

  • Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
  • Distributed hardware testing infrastructure
  • Second factor security tokens
  • Low-power wireless network protocol implementation
  • USB device driver implementation

Kai Li, Room 321

  • Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
  • Fast communication mechanisms for heterogeneous clusters.
  • Approximate nearest-neighbor search for high dimensional data.
  • Data analysis and prediction of in-patient medical data.
  • Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

  • Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
  • Explore new statistical retrieval models for document retrieval and question answering.
  • Apply AI in various fields.
  • Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
  • Any interesting project related to AI, machine learning, and data analysis.

Wyatt Lloyd, Room 323

  • Research areas: Distributed Systems
  • Caching algorithms and implementations
  • Storage systems
  • Distributed transaction algorithms and implementations

Margaret Martonosi, Room 208

  • Quantum Computing research, particularly related to architecture and compiler issues for QC.
  • Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
  • Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
  • Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307 

  • Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
  • Assessing the effects of government policies, both in the public and private sectors.
  • Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
  • Developing new tools to improve government processes and offer policy alternatives.

Andrés Monroy-Hernández, Room 405

  • Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
  • Research interests:developing public-interest socio-technical systems.  We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems.  We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
  • Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

  • Research areas: Distributed systems, high-throughput computing, computer science/engineering education
  • Expansion, improvement, and evaluation of open-source distributed computing software.
  • Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
  • Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
  • Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

  • Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

  • Research areas: Natural Language Processing, Reinforcement Learning
  • Autonomous agents for text-based games ( )
  • Transfer learning/generalization in NLP
  • Techniques for generating natural language
  • Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall 

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

 * Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

 1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in:   * Explicit constructions of better vertex expanders and/or unique neighbor expanders.   * Construction deterministic or random high dimensional expanders.   * Pseudorandom generators for different problems.   * Topics around the quantum PCP conjecture.   * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

 2. Theory informed practical implementations of algorithms   Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest:   * Streaming algorithms.   * Numeric linear algebra.   * Property testing.   * Parallel / Distributed algorithms.   * Online algorithms.    3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

  • Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
  • Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
  • Possible research topics include:

1.   Quantum algorithms and circuits:

  • i. Design or simulation quantum circuits implementing quantum algorithms.
  • ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2.   Information Based Complexity:

  • i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case). 
  • ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
  • iii. Necessary and sufficient conditions for tractability of Weighted problems.
  • iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

  • i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

  • Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
  • Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309  

  • Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
  • Implementation and application of algorithms to infer evolutionary processes in cancer
  • Identifying correlations between combinations of genomic mutations in human and cancer genomes
  • Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
  • Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

  • Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
  • Constructing a new method to explain a model / create an interpretable by design model
  • Analyzing a current model / dataset to understand bias within the model/dataset
  • Proposing new fairness evaluations
  • Proposing new methods to train to improve fairness
  • Developing synthetic datasets for fairness / interpretability benchmarks
  • Understanding robustness of models

Ran Raz, Room 240

  • Research Area: Computational Complexity
  • Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

  • Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
  • Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
  • Investigate approaches to robust 3D scan matching
  • Model and compensate for imperfections in 3D printing
  • Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

  • Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
  • Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
  • Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
  • Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

  • Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
  • Gamification of neuroscience (EyeWire  2.0)
  • Semantic segmentation and object detection in brain images from microscopy
  • Computational analysis of brain structure and function
  • Neural network theories of brain function

Jaswinder Pal Singh, Room 324

  • Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
  • Develop a startup company idea, and build a plan/prototype for it.
  • Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
  • Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 
  • Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
  • Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

  • Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
  • Whole and cross-genome methods for predicting protein function and protein-protein interactions.
  • Analysis and prediction of biological networks.
  • Computational methods for inferring specific aspects of protein structure from protein sequence data.
  • Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

Available for single-semester IW and senior thesis advising, 2022-2023

  • Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
  • Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
  • Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

  • Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
  • Implement and evaluate one or more gene expression analysis algorithm.
  • Develop algorithms for assessment of performance of genomic analysis methods.
  • Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

  • Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
  • Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

  • Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

  • Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
  • Design and implement computer visualizations of algorithms or data structures.
  • Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
  • Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

  • Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
  • Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc. 
  • Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

  • data structures
  • streaming algorithms
  • design and analyze data structures / streaming algorithms
  • prove impossibility results (lower bounds)
  • implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

No longer available for single-term IW  and senior thesis advising, 2023-2024

Opportunities outside the department

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science.  However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.)  To do a project with an adviser outside of computer science you must have permission of the department.  This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

  • Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

  • Documentation of historic structures
  • Cyber physical systems for structural health monitoring
  • Developing virtual and augmented reality applications for documenting structures
  • Applying machine learning techniques to generate 3D models from 2D plans of buildings
  •  Contact : Rebecca Napolitano, rkn2 (

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

  • Consumer protection
  • Content regulation
  • Competition law
  • Economic development
  • Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

  • Design of reliable hardware systems
  • Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

  • Internet security and privacy 
  • Social Networks
  • Privacy technologies, anonymous communication
  • Network Science
  • Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
  • Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
  • Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project ( is a potential application of interest.

Ken Norman,  Psychology Dept, PNI 137

  • Research Areas: Memory, the brain and computation 
  • Lab:  Princeton Computational Memory Lab

Potential research topics

  • Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG) 
  • Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (

The  Campus as Lab  program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its  website .

An example from Computer Science could include using  TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a  live energy heatmap of campus .

Other potential projects include:

  • Apply game theory to sustainability challenges
  • Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
  • How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

  • Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
  • Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

  • Instrument Princeton's Green (HPCRC) data center
  • Investigate power utilization on an processor core implemented in an FPGA
  • Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
  • Other topics in parallel computer architecture or operating systems


  • How It Works

101 Best Computer Science Topics for 2023

computer science topics

Any student will know the difficulty that comes with developing and choosing a great topic in computer science. Generally speaking, a good topic should be original, interesting, and challenging. It should push the limits of the field of study while still adequately answering the main questions brought on by the study. We understand the stress that this may cause students, which is why we’ve dedicated our time to search the web and print resources to find the latest computer science topics that create the biggest waves in the field. Here’s the list of the top computer science research topics for 2023 you can use for an essay or senior thesis :

AP Computer Science Topics for Students Entering College

  • How has big data impacted the way small businesses conduct market research?
  • Does machine learning negatively impact the way neurons in the brain work?
  • Did biotech change how medicine is administered to patients?
  • How is human perception affected by virtual reality technologies?
  • How can education benefit from using virtual reality in learning?
  • Are quantum computers the way of the future or are they just a fad?
  • Has the Covid-19 pandemic delayed advancements in computer science?

Computer Science Research Paper Topics for High School

  • How successful has distance learning computer tech been in the time of Covid-19?
  • Will computer assistance in businesses get rid of customer service needs?
  • How has encryption and decryption technology changed in the last 20 years?
  • Can AI impact computer management and make it automated?
  • Why do programmers avoid making a universal programming language?
  • How important are human interactions with computer development?
  • How will computers change in the next five to ten years?

Controversial Topics in Computer Science for Grad Students

  • What is the difference between math modeling and art?
  • How are big-budget Hollywood films being affected by CGI technologies?
  • Should students be allowed to use technology in classrooms other than comp science?
  • How important is it to limit the amount of time we spend using social media?
  • Are quantum computers for personal or home use realistic?
  • How are embedded systems changing the business world?
  • In what ways can human-computer interactions be improved?

Computer Science Capstone Project Ideas for College Courses

  • What are the physical limitations of communication and computation?
  • Is SCRUM methodology still viable for software development?
  • Are ATMs still secure machines to access money or are they a threat?
  • What are the best reasons for using open source software?
  • The future of distributed systems and its use in networks?
  • Has the increased use of social media positively or negatively affected our relationships?
  • How is machine learning impacted by artificial intelligence?

Interesting Computer Science Topics for College Students

  • How has Blockchain impacted large businesses?
  • Should people utilize internal chips to track their pets?
  • How much attention should we pay to the content we read on the web?
  • How can computers help with human genes sequencing?
  • What can be done to enhance IT security in financial institutions?
  • What does the digitization of medical fields mean for patients’ privacy?
  • How efficient are data back-up methods in business?

Hot Topics in Computer Science for High School Students

  • Is distance learning the new norm for earning postgraduate degrees?
  • In reaction to the Covid-19 pandemic should more students take online classes?
  • How can game theory aid in the analysis of algorithms?
  • How can technology impact future government elections?
  • Why are there fewer females in the computer science field?
  • Should the world’s biggest operating systems share information?
  • Is it safe to make financial transactions online?

Ph.D. Research Topics in Computer Science for Grad Students

  • How can computer technology help professional athletes improve performance?
  • How have Next Gen Stats changed the way coaches game plan?
  • How has computer technology impacted medical technology?
  • What impact has MatLab software had in the medical engineering field?
  • How does self-adaptable application impact online learning?
  • What does the future hold for information technology?
  • Should we be worried about addiction to computer technology?

Computer Science Research Topics for Undergraduates

  • How has online sports gambling changed IT needs in households?
  • In what ways have computers changed learning environments?
  • How has learning improved with interactive multimedia and similar technologies?
  • What are the psychological perspectives on IT advancements?
  • What is the balance between high engagement and addiction to video games?
  • How has the video gaming industry changed over the decades?
  • Has social media helped or damaged our communication habits?

Research Paper Topics in Computer Science

  • What is the most important methodology in project planning?
  • How has technology improved people’s chances of winning in sports betting?
  • How has artificial technology impacted the U.S. economy?
  • What are the most effective project management processes in IT?
  • How can IT security systems help the practice of fraud score generation?
  • Has technology had an impact on religion?
  • How important is it to keep your social networking profiles up to date?

More Computer Science Research Papers Topics

  • There is no area of human society that is not impacted by AI?
  • How adaptive learning helps today’s professional world?
  • Does a computer program code from a decade ago still work?
  • How has medical image analysis changed because of IT?
  • What are the ethical concerns that come with data mining?
  • Should colleges and universities have the right to block certain websites?
  • What are the major components of math computing?

Computer Science Thesis Topics for College Students

  • How can logic and sets be used in computing?
  • How has online gambling impacted in-person gambling?
  • How did the 5-G network generation change communication?
  • What are the biggest challenges to IT due to Covid-19?
  • Do you agree that assembly language is a new way to determine data-mine health?
  • How can computer technology help track down criminals?
  • Is facial recognition software a violation of privacy rights?

Quick and Easy Computer Science Project Topics

  • Why do boys and girls learn the technology so differently?
  • How effective are computer training classes that target young girls?
  • How does technology affect how medicines are administered?
  • Will further advancements in technology put people out of work?
  • How has computer science changed the way teachers educate?
  • Which are the most effective ways of fighting identify theft?

Excellent Computer Science Thesis Topic Ideas

  • What are the foreseeable business needs computers will fix?
  • What are the pros and cons of having smart home technology?
  • How does computer modernization at the office affect productivity?
  • How has computer technology led to more job outsourcing?
  • Do self-service customer centers sufficiently provide solutions?
  • How can a small business compete without updated computer products?

Computer Science Presentation Topics

  • What does the future hold for virtual reality?
  • What are the latest innovations in computer science?
  • What are the pros and cons of automating everyday life?
  • Are hackers a real threat to our privacy or just to businesses?
  • What are the five most effective ways of storing personal data?
  • What are the most important fundamentals of software engineering?

Even More Topics in Computer Science

  • In what ways do computers function differently from human brains?
  • Can world problems be solved through advancements in video game technology?
  • How has computing helped with the mapping of the human genome?
  • What are the pros and cons of developing self-operating vehicles?
  • How has computer science helped developed genetically modified foods?
  • How are computers used in the field of reproductive technologies?

Our team of academic experts works around the clock to bring you the best project topics for computer science student. We search hundreds of online articles, check discussion boards, and read through a countless number of reports to ensure our computer science topics are up-to-date and represent the latest issues in the field. If you need assistance developing research topics in computer science or need help editing or writing your assignment, we are available to lend a hand all year. Just send us a message “ help me write my thesis ” and we’ll put you in contact with an academic writer in the field.

Engineering Research Paper Topics

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Home > Engineering > Computer Science > Computer Science Graduate Projects

Computer Science Graduate Projects and Theses

Theses/dissertations from 2023 2023.

High-Performance Domain-Specific Library for Hydrologic Data Processing , Kalyan Bhetwal

Verifying Data Provenance During Workflow Execution for Scientific Reproducibility , Rizbanul Hasan

Remote Sensing to Advance Understanding of Snow-Vegetation Relationships and Quantify Snow Depth and Snow Water Equivalent , Ahmad Hojatimalekshah

Exploring the Capability of a Self-Supervised Conditional Image Generator for Image-to-Image Translation without Labeled Data: A Case Study in Mobile User Interface Design , Hailee Kiesecker

Fake News Detection Using Narrative Content and Discourse , Hongmin Kim

Theses/Dissertations from 2022 2022

Improved Computational Prediction of Function and Structural Representation of Self-Cleaving Ribozymes with Enhanced Parameter Selection and Library Design , James D. Beck

Meshfree Methods for PDEs on Surfaces , Andrew Michael Jones

Deep Learning of Microstructures , Amir Abbas Kazemzadeh Farizhandi

Long-Term Trends in Extreme Environmental Events with Changepoint Detection , Mintaek Lee

Structure Aware Smart Encoding and Decoding of Information in DNA , Shoshanna Llewellyn

Towards Making Transformer-Based Language Models Learn How Children Learn , Yousra Mahdy

Ontology-Based Formal Approach for Safety and Security Verification of Industrial Control Systems , Ramesh Neupane

Improving Children's Authentication Practices with Respect to Graphical Authentication Mechanism , Dhanush Kumar Ratakonda

Hate Speech Detection Using Textual and User Features , Rohan Raut

Automated Detection of Sockpuppet Accounts in Wikipedia , Mostofa Najmus Sakib

Characterization and Mitigation of False Information on the Web , Anu Shrestha

Sinusoidal Projection for 360° Image Compression and Triangular Discrete Cosine Transform Impact in the JPEG Pipeline , Iker Vazquez Lopez

Theses/Dissertations from 2021 2021

Training Wheels for Web Search: Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom , Garrett Allen

Fair and Efficient Consensus Protocols for Secure Blockchain Applications , Golam Dastoger Bashar

Why Don't You Act Your Age?: Recognizing the Stereotypical 8-12 Year Old Searcher by Their Search Behavior , Michael Green

Ensuring Consistency and Efficiency of the Incremental Unit Network in a Distributed Architecture , Mir Tahsin Imtiaz

Modeling Real and Fake News Sharing in Social Networks , Abishai Joy

Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies , A.K.M. Nuhil Mehdy

Into the Unknown: Exploration of Search Engines' Responses to Users with Depression and Anxiety , Ashlee Milton

Generating Test Inputs from String Constraints with an Automata-Based Solver , Marlin Roberts

A Case Study in Representing Scientific Applications ( GeoAc ) Using the Sparse Polyhedral Framework , Ravi Shankar

Actors for the Internet of Things , Arjun Shukla

Theses/Dissertations from 2020 2020

Towards Unifying Grounded and Distributional Semantics Using the Words-as-Classifiers Model of Lexical Semantics , Stacy Black

Improving Scientist Productivity, Architecture Portability, and Performance in ParFlow , Michael Burke

Polyhedral+Dataflow Graphs , Eddie C. Davis

Improving Spellchecking for Children: Correction and Design , Brody Downs

A Collection of Fast Algorithms for Scalar and Vector-Valued Data on Irregular Domains: Spherical Harmonic Analysis, Divergence-Free/Curl-Free Radial Basis Functions, and Implicit Surface Reconstruction , Kathryn Primrose Drake

Privacy-Preserving Protocol for Atomic Swap Between Blockchains , Kiran Gurung

Unsupervised Structural Graph Node Representation Learning , Mikel Joaristi

Detecting Undisclosed Paid Editing in Wikipedia , Nikesh Joshi

Do You Feel Me?: Learning Language from Humans with Robot Emotional Displays , David McNeill

Obtaining Real-World Benchmark Programs from Open-Source Repositories Through Abstract-Semantics Preserving Transformations , Maria Anne Rachel Paquin

Content Based Image Retrieval (CBIR) for Brand Logos , Enjal Parajuli

A Resilience Metric for Modern Power Distribution Systems , Tyler Bennett Phillips

Theses/Dissertations from 2019 2019

Edge-Assisted Workload-Aware Image Processing System , Anil Acharya

MINOS: Unsupervised Netflow-Based Detection of Infected and Attacked Hosts, and Attack Time in Large Networks , Mousume Bhowmick

Deviant: A Mutation Testing Tool for Solidity Smart Contracts , Patrick Chapman

Querying Over Encrypted Databases in a Cloud Environment , Jake Douglas

A Hybrid Model to Detect Fake News , Indhumathi Gurunathan

Suitability of Finite State Automata to Model String Constraints in Probablistic Symbolic Execution , Andrew Harris

UNICORN Framework: A User-Centric Approach Toward Formal Verification of Privacy Norms , Rezvan Joshaghani

Detection and Countermeasure of Saturation Attacks in Software-Defined Networks , Samer Yousef Khamaiseh

Secure Two-Party Protocol for Privacy-Preserving Classification via Differential Privacy , Manish Kumar

Application-Specific Memory Subsystem Benchmarking , Mahesh Lakshminarasimhan

Multilingual Information Retrieval: A Representation Building Perspective , Ion Madrazo

Improved Study of Side-Channel Attacks Using Recurrent Neural Networks , Muhammad Abu Naser Rony Chowdhury

Investigating the Effects of Social and Temporal Dynamics in Fitness Games on Children's Physical Activity , Ankita Samariya

BullyNet: Unmasking Cyberbullies on Social Networks , Aparna Sankaran

FALCON: Framework for Anomaly Detection In Industrial Control Systems , Subin Sapkota

Investigating Semantic Properties of Images Generated from Natural Language Using Neural Networks , Samuel Ward Schrader

Incremental Processing for Improving Conversational Grounding in a Chatbot , Aprajita Shukla

Estimating Error and Bias of Offline Recommender System Evaluation Results , Mucun Tian

Theses/Dissertations from 2018 2018

Leveraging Tiled Display for Big Data Visualization Using D3.js , Ujjwal Acharya

Fostering the Retrieval of Suitable Web Resources in Response to Children's Educational Search Tasks , Oghenemaro Deborah Anuyah

Privacy-Preserving Genomic Data Publishing via Differential Privacy , Tanya Khatri

Injecting Control Commands Through Sensory Channel: Attack and Defense , Farhad Rasapour

Strong Mutation-Based Test Generation of XACML Policies , Roshan Shrestha

Performance, Scalability, and Robustness in Distributed File Tree Copy , Christopher Robert Sutton

Using DNA For Data Storage: Encoding and Decoding Algorithm Development , Kelsey Suyehira

Detecting Saliency by Combining Speech and Object Detection in Indoor Environments , Kiran Thapa

Theses/Dissertations from 2017 2017

Identifying Restaurants Proposing Novel Kinds of Cuisines: Using Yelp Reviews , Haritha Akella

Editing Behavior Analysis and Prediction of Active/Inactive Users in Wikipedia , Harish Arelli

CloudSkulk: Design of a Nested Virtual Machine Based Rootkit-in-the-Middle Attack , Joseph Anthony Connelly

Predicting Friendship Strength in Facebook , Nitish Dhakal

Privacy-Preserving Trajectory Data Publishing via Differential Privacy , Ishita Dwivedi

Cultivating Community Interactions in Citizen Science: Connecting People to Each Other and the Environment , Bret Allen Finley

Uncovering New Links Through Interaction Duration , Laxmi Amulya Gundala

Variance: Secure Two-Party Protocol for Solving Yao's Millionaires' Problem in Bitcoin , Joshua Holmes

A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases , Akshay Kansal

Integrity Coded Databases: Ensuring Correctness and Freshness of Outsourced Databases , Ujwal Karki

Editable View Optimized Tone Mapping For Viewing High Dynamic Range Panoramas On Head Mounted Display , Yuan Li

The Effects of Pair-Programming in a High School Introductory Computer Science Class , Ken Manship

Towards Automatic Repair of XACML Policies , Shuai Peng

Identification of Unknown Landscape Types Using CNN Transfer Learning , Ashish Sharma

Hand Gesture Recognition for Sign Language Transcription , Iker Vazquez Lopez

Learning to Code Music : Development of a Supplemental Unit for High School Computer Science , Kelsey Wright

Theses/Dissertations from 2016 2016

Identification of Small Endogenous Viral Elements within Host Genomes , Edward C. Davis Jr.

When the System Becomes Your Personal Docent: Curated Book Recommendations , Nevena Dragovic

Security Testing with Misuse Case Modeling , Samer Yousef Khamaiseh

Estimating Length Statistics of Aggregate Fried Potato Product via Electromagnetic Radiation Attenuation , Jesse Lovitt

Towards Multipurpose Readability Assessment , Ion Madrazo

Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs , Axel Magnuson

CEST: City Event Summarization using Twitter , Deepa Mallela

Developing an ABAC-Based Grant Proposal Workflow Management System , Milson Munakami

Phoenix and Hive as Alternatives to RDBMS , Diana Ornelas

Massively Parallel Algorithm for Solving the Eikonal Equation on Multiple Accelerator Platforms , Anup Shrestha

A Certificateless One-Way Group Key Agreement Protocol for Point-to-Point Email Encryption , Srisarguru Sridhar

Dynamic Machine Level Resource Allocation to Improve Tasking Performance Across Multiple Processes , Richard Walter Thatcher

Theses/Dissertations from 2015 2015

Developing an Application for Evolutionary Search for Computational Models of Cellular Development , Nicolas Scott Cornia

Accelerated Radar Signal Processing in Large Geophysical Datasets , Ravi Preesha Geetha

Integrity Coded Databases (ICDB) – Protecting Integrity for Outsourced Databases , Archana Nanjundarao

Automatic Detection and Denoising of Signals in Large Geophysical Datasets , Gabriel O. Trisca

Theses/Dissertations from 2014 2014

Evolutionary Search for Models of Planarian Regeneration Using Experimental Data , Marianna Viktorovna Budnikova

Evaluation of String Constraint Solvers Using Dynamic Symbolic Execution , Scott Kausler

An End-to-End Identity-Based Email Encryption Scheme , Fiona Yan Lee

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How to search for Harvard dissertations

  • DASH , Digital Access to Scholarship at Harvard, is the university's central, open-access repository for the scholarly output of faculty and the broader research community at Harvard.  Most Ph.D. dissertations submitted from  March 2012 forward  are available online in DASH.
  • Check HOLLIS, the Library Catalog, and refine your results by using the   Advanced Search   and limiting Resource  Type   to Dissertations
  • Search the database  ProQuest Dissertations & Theses Global Don't hesitate to  Ask a Librarian  for assistance.

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Home > CICS > CS > CS_DISS

Computer Science

Computer Science Department Dissertations Collection

Dissertations from 2023 2023.

An Introspective Approach for Competence-Aware Autonomy , Connor Basich, Computer Science

Foundations of Node Representation Learning , Sudhanshu Chanpuriya, Computer Science

Learning to See with Minimal Human Supervision , Zezhou Cheng, Computer Science


Automating the Formal Verification of Software , Emily First, Computer Science

Learning from Sequential User Data: Models and Sample-efficient Algorithms , Aritra Ghosh, Computer Science

Human-Centered Technologies for Inclusive Collection and Analysis of Public-Generated Data , Mahmood Jasim, Computer Science

Rigorous Experimentation For Reinforcement Learning , Scott M. Jordan, Computer Science

Towards Robust Long-form Text Generation Systems , Kalpesh Krishna, Computer Science

Emerging Trustworthiness Issues in Distributed Learning Systems , Hamid Mozaffari, Computer Science


Evidence Assisted Learning for Clinical Decision Support Systems , Bhanu Pratap Singh Rawat, Computer Science


Quantifying and Enhancing the Security of Federated Learning , Virat Vishnu Shejwalkar, Computer Science

Effective and Efficient Transfer Learning in the Era of Large Language Models , Tu Vu, Computer Science

Data-driven Modeling and Analytics for Greening the Energy Ecosystem , John Wamburu, Computer Science

Bayesian Structural Causal Inference with Probabilistic Programming , Sam A. Witty, Computer Science

LEARNING TO RIG CHARACTERS , Zhan Xu, Computer Science


Dissertations from 2022 2022



Few-Shot Natural Language Processing by Meta-Learning Without Labeled Data , Trapit Bansal, Computer Science

Communicative Information Visualizations: How to make data more understandable by the general public , Alyxander Burns, Computer Science


Modeling the Multi-mode Distribution in Self-Supervised Language Models , Haw-Shiuan Chang, Computer Science

Nonparametric Contextual Reasoning for Question Answering over Large Knowledge Bases , Rajarshi Das, Computer Science

Languages and Compilers for Writing Efficient High-Performance Computing Applications , Abhinav Jangda, Computer Science

Controllable Neural Synthesis for Natural Images and Vector Art , Difan Liu, Computer Science

Probabilistic Commonsense Knowledge , Xiang Li, Computer Science


Practical Methods for High-Dimensional Data Publication with Differential Privacy , Ryan H. McKenna, Computer Science

Incremental Non-Greedy Clustering at Scale , Nicholas Monath, Computer Science

High-Quality Automatic Program Repair , Manish Motwani, Computer Science

Unobtrusive Assessment of Upper-Limb Motor Impairment Using Wearable Inertial Sensors , Brandon R. Oubre, Computer Science

Mixture Models in Machine Learning , Soumyabrata Pal, Computer Science

Decision Making with Limited Data , Kieu My Phan, Computer Science

Neural Approaches for Language-Agnostic Search and Recommendation , Hamed Rezanejad Asl Bonab, Computer Science

Low Resource Language Understanding in Voice Assistants , Subendhu Rongali, Computer Science

Enabling Daily Tracking of Individual’s Cognitive State With Eyewear , Soha Rostaminia, Computer Science


Reliable Decision-Making with Imprecise Models , Sandhya Saisubramanian, Computer Science

Data Scarcity in Event Analysis and Abusive Language Detection , Sheikh Muhammad Sarwar, Computer Science

Representation Learning for Shape Decomposition, By Shape Decomposition , Gopal Sharma, Computer Science

Metareasoning for Planning and Execution in Autonomous Systems , Justin Svegliato, Computer Science

Approximate Bayesian Deep Learning for Resource-Constrained Environments , Meet Prakash Vadera, Computer Science


Dissertations from 2021 2021

Neural Approaches to Feedback in Information Retrieval , Keping Bi, Computer Science

Sociolinguistically Driven Approaches for Just Natural Language Processing , Su Lin Blodgett, Computer Science

Enabling Declarative and Scalable Prescriptive Analytics in Relational Data , Matteo Brucato, Computer Science

Neural Methods for Answer Passage Retrieval over Sparse Collections , Daniel Cohen, Computer Science

Utilizing Graph Structure for Machine Learning , Stefan Dernbach, Computer Science

Enhancing Usability and Explainability of Data Systems , Anna Fariha, Computer Science

Algorithms to Exploit Data Sparsity , Larkin H. Flodin, Computer Science

3D Shape Understanding and Generation , Matheus Gadelha, Computer Science

Robust Algorithms for Clustering with Applications to Data Integration , Sainyam Galhotra, Computer Science

Improving Evaluation Methods for Causal Modeling , Amanda Gentzel, Computer Science

SAFE AND PRACTICAL MACHINE LEARNING , Stephen J. Giguere, Computer Science


Natural Language Processing for Lexical Corpus Analysis , Abram Kaufman Handler, Computer Science

Social Measurement and Causal Inference with Text , Katherine A. Keith, Computer Science

Concentration Inequalities in the Wild: Case Studies in Blockchain & Reinforcement Learning , A. Pinar Ozisik, Computer Science

Resource Allocation in Distributed Service Networks , Nitish Kumar Panigrahy, Computer Science

History Modeling for Conversational Information Retrieval , Chen Qu, Computer Science

Design and Implementation of Algorithms for Traffic Classification , Fatemeh Rezaei, Computer Science


Deep Learning Models for Irregularly Sampled and Incomplete Time Series , Satya Narayan Shukla, Computer Science

Traffic engineering in planet-scale cloud networks , Rachee Singh, Computer Science

Video Adaptation for High-Quality Content Delivery , Kevin Spiteri, Computer Science

Learning from Limited Labeled Data for Visual Recognition , Jong-Chyi Su, Computer Science

Human Mobility Monitoring using WiFi: Analysis, Modeling, and Applications , Amee Trivedi, Computer Science

Geometric Representation Learning , Luke Vilnis, Computer Science

Understanding of Visual Domains via the Lens of Natural Language , Chenyun Wu, Computer Science

Towards Practical Differentially Private Mechanism Design and Deployment , Dan Zhang, Computer Science

Audio-driven Character Animation , Yang Zhou, Computer Science

Dissertations from 2020 2020

Noise-Aware Inference for Differential Privacy , Garrett Bernstein, Computer Science

Motion Segmentation - Segmentation of Independently Moving Objects in Video , Pia Katalin Bideau, Computer Science

An Empirical Assessment of the Effectiveness of Deception for Cyber Defense , Kimberly J. Ferguson-Walter, Computer Science

Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems , Richard Freedman, Computer Science

Improving Reinforcement Learning Techniques by Leveraging Prior Experience , Francisco M. Garcia, Computer Science

Optimization and Training of Generational Garbage Collectors , Nicholas Jacek, Computer Science

Understanding the Dynamic Visual World: From Motion to Semantics , Huaizu Jiang, Computer Science

Improving Face Clustering in Videos , SouYoung Jin, Computer Science

Reasoning About User Feedback Under Identity Uncertainty in Knowledge Base Construction , Ariel Kobren, Computer Science

Learning Latent Characteristics of Data and Models using Item Response Theory , John P. Lalor, Computer Science

Higher-Order Representations for Visual Recognition , Tsung-Yu Lin, Computer Science

Learning from Irregularly-Sampled Time Series , Steven Cheng-Xian Li, Computer Science

Dynamic Composition of Functions for Modular Learning , Clemens GB Rosenbaum, Computer Science

Improving Visual Recognition With Unlabeled Data , Aruni Roy Chowdhury, Computer Science

Deep Neural Networks for 3D Processing and High-Dimensional Filtering , Hang Su, Computer Science

Towards Optimized Traffic Provisioning and Adaptive Cache Management for Content Delivery , Aditya Sundarrajan, Computer Science

The Limits of Location Privacy in Mobile Devices , Keen Yuun Sung, Computer Science


System Design for Digital Experimentation and Explanation Generation , Emma Tosch, Computer Science

Performance Evaluation of Classical and Quantum Communication Systems , Gayane Vardoyan, Computer Science

Probabilistic Inference with Generating Functions for Population Dynamics of Unmarked Individuals , Kevin Winner, Computer Science

Computational Approaches to Assisting Patients' Medical Comprehension from Electronic Health Records , Jiaping Zheng, Computer Science

Dissertations from 2019 2019

Neural Generative Models and Representation Learning for Information Retrieval , Qingyao Ai, Computer Science

Poetry: Identification, Entity Recognition, and Retrieval , John J. Foley IV, Computer Science


Energy-Aware Algorithms for Greening Internet-Scale Distributed Systems Using Renewables , Vani Gupta, Computer Science

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Senior Thesis

A senior thesis is more than a big project write-up. It is documentation of an attempt to contribute to the general understanding of some problem of computer science, together with exposition that sets the work in the context of what has come before and what might follow. In computer science, some theses involve building systems, some involve experiments and measurements, some are theoretical, some involve human subjects, and some do more than one of these things. Computer science is unusual among scientific disciplines in that current faculty research has many loose ends appropriate for undergraduate research.

Senior thesis projects generally emerge from collaboration with faculty. Students looking for senior thesis projects should tell professors they know, especially professors whose courses they are taking or have taken, that they are looking for things to work on. See the page on CS Research for Undergrads . Ideas often emerge from recent papers discussed in advanced courses. The terms in which some published research was undertaken might be generalized, relaxed, restricted, or applied in a different domain to see if changed assumptions result in a changed solution. Once a project gets going, it often seems to assume a life of its own.

To write a thesis, students may enroll in Computer Science 91r one or both terms during their senior year, under the supervision of their research advisor. Rising seniors may wish to begin thinking about theses over the previous summer, and therefore may want to begin their conversations with faculty during their junior spring—or even try to stay in Cambridge to do summer research.

An information session for those interested in writing a senior thesis is held towards the end of each spring semester. Details about the session will be posted to the  [email protected] email list.

Students interested in commercializing ideas in their theses may wish to consult Executive Dean Fawwaz Habbal about patent protection. See  Harvard’s policy  for information about ownership of software written as part of your academic work.

Thesis Supervisor

You need a thesis supervisor. Normally this is a Harvard Computer Science faculty member. Joint concentrators (and, in some cases, non-joint concentrators) might have a FAS/SEAS Faculty member from a different field as their thesis supervisor. Exceptions to the requirement that the thesis supervisor is a CS or FAS/SEAS faculty member must be approved by the Director of Undergraduate Studies. For students whose advisor is not a Harvard CS faculty member, note that at least one of your thesis readers must be a Harvard CS faculty member, and we encourage you to talk with this faculty member regularly to help ensure that your thesis is appropriately relevant for Harvard Computer Science.

It’s up to you and your supervisor how frequently you meet and how engaged the supervisor is in your thesis research. However, we encourage you to meet with your supervisor at least several times during the Fall and Spring, and to agree on deadlines for initial results, chapter outlines, drafts, etc.

Thesis Readers

The thesis is evaluated by the thesis readers. Thesis readers must be either:

Two Harvard CS faculty members/affiliates ; or:

Three readers, at least one of whom is a Harvard CS faculty member and the others are ordinarily teaching faculty members of the Faculty of Arts and Sciences or SEAS who are generally familiar with the research area.

The thesis supervisor is one of the readers.

The student is responsible for finding the other readers, but you can talk with your supervisor for suggestions of possible readers.

Exceptions to these thesis reader requirements must be approved by the Directors of Undergraduate Studies.

For joint concentrators, the other concentration may have different procedures for thesis readers; if you have any questions or concerns about thesis readers, please contact the Directors of Undergraduate Studies.

Senior Thesis Seminar

Computer Science does not have a Senior Thesis seminar course.

However, we do run an informal optional series of Senior Thesis meetings in the Fall to help with the thesis writing process, focused on topics such as technical writing tips, work-shopping your senior thesis story, structure of your thesis, and more. Pay attention to your email in the Fall for announcements about this series of meetings.

The thesis should contain an informative abstract separate from the body of the thesis. This abstract should clearly state what the contribution of the thesis is–which parts are expository, whether there are novel results, etc. We also recommend the thesis contain an introduction that is at most 5 pages in length that contains an “Our contributions” section which explains exactly what the thesis contributed, and which sections in the thesis these are elaborated on. At the degree meeting, the Committee on Undergraduate Studies in Computer Science will review the thesis abstract, the reports from the three readers and the student’s academic record; it will have access to the thesis.  The readers (and student) are told to assume that the Committee consists of technical professionals who are not necessarily conversant with the subject matter of the thesis so their reports (and abstract) should reflect this audience.

The length of the thesis should be as long as it needs to be to present its arguments, but no longer!

There are no specific formatting guidelines. For LaTeX, some students have used this template in the past . It is set up to meet the Harvard PhD Dissertation requirements, so it is meeting requirements that you as CS Senior Thesis writers don’t have.

Thesis Timeline for Seniors

(The timeline below is for students graduating in May. For off-cycle students, the same timeline applies, but offset by one semester. The thesis due date for March 2024 graduates is Friday November 17, 2023 at 4pm. The thesis deadline for May 2024 graduates is Friday March 29th Monday April 1st at 2pm.

Please be aware that students writing a joint thesis must meet the requirements of both departments–so if there are two different due dates for the thesis, you are expected to meet the earlier date.

Senior Fall (or earlier) Find a thesis supervisor, and start research. 

October/November/December Start writing.

All fourth year concentrators are contacted by the Office of Academic Programs and those planning to submit a senior thesis are requested to supply certain information, including name of advisor and a tentative thesis title. You may use a different title when you submit your thesis; you do not need to tell us your updated title before then. If Fall 2023 is your final term, please fill out this form . If May 2024 is your final term, please fill out this form .

Early February The student should provide the name and contact information for the readers (see above), together with assurance that they have agreed to serve. 

Mid-March Thesis supervisors are advised to demand a first draft. (A common reaction of thesis readers is “This would have been an excellent first draft. Too bad it is the final thesis—it could have been so much better if I had been able to make some suggestions a couple of weeks ago.")

April 1, 2024 * Thesis is due by 2:00 pm. Electronic copies in PDF format should be delivered by the student to all three readers and to [email protected] (which will forward to the Director of Undergraduate Studies) on or before that date. An electronic copy should also be submitted via the SEAS online submission tool on or before that date. SEAS will keep this electronic copy as a non-circulating backup. During this online submission process, the student will also have the option to make the electronic copy publicly available via DASH, Harvard’s open-access repository for scholarly work. Please note that the thesis will NOT be published to ProQuest. More information can be found on the SEAS  Senior Thesis Submission  page.

The two or three readers will receive a rating sheet to be returned to the Office of Academic Programs before the beginning of the Reading Period, together with their copy of the thesis and any remarks to be transmitted to the student.

Late May The Office of Academic Programs will send students their comments after the degree meeting to decide honors recommendations.

Thesis Extensions and Late Submissions

Thesis extensions Thesis extensions will be granted in extraordinary circumstances, such as hospitalization or grave family emergency, with the support of the thesis advisor and resident dean and the agreement of all readers. For joint concentrators, the other concentration should also support the extension. To request an extension, please have your advisor or resident dean email [email protected] , ideally several business days in advance, so that we may follow up with readers. Please note that any extension must be able to fall within our normal grading, feedback, and degree recommendation deadline, so extensions of more than a few days are usually impossible.

Late submissions Late submission of thesis work should be avoided. Work that is late will ordinarily not be eligible for thesis prizes like the Hoopes Prize. Theses submitted late will ordinarily be penalized one full level of honors (highest honors, high honors, honors, no honors) per day late or part thereof, including weekends, so a thesis submitted two days and one minute late is ordinarily ineligible to receive honors. Penalties will be waived only in extraordinary cases, such as documented medical illness or grave family emergency; students should consult with the Directors of Undergraduate Studies in that event. Missed alarm clocks, crashed computers, slow printers, corrupted files, and paper jams are not considered valid causes for extensions.

Thesis Examples

Recent thesis examples can be found on the Harvard DASH (Digital Access to Scholarship at Harvard) repository here . Examples of Mind, Brain, Behavior theses are here .

Spectral Sparsification: The Barrier Method and its Applications

  • Martin Camacho, Advisor: Jelani Nelson

Good Advice Costs Nothing and it’s Worth the Price: Incentive Compatible Recommendation Mechanisms for Exploring Unknown Options

  • Perry Green, Advisor: Yiling Chen

Better than PageRank: Hitting Time as a Reputation Mechanism

  • Brandon Liu, Advisor: David Parkes

Tree adjoining grammar at the interfaces

  • Nicholas Longenbaugh, Advisor: Stuart Shieber

SCHUBOT: Machine Learning Tools for the Automated Analysis of Schubert’s Lieder

  • Dylan Nagler, Advisor: Ryan Adams

Learning over Molecules: Representations and Kernels

  • Jimmy Sun, Advisor: Ryan Adams

Towards the Quantum Machine: Using Scalable Machine Learning Methods to Predict Photovoltaic Efficacy of Organic Molecules

  • Michael Tingley, Advisor: Ryan Adams

A CS Research Topic Generator or How To pick A Worthy Topic In 10 Seconds

Computer Science is facing a major roadblock to further research. The problem is most evident with students, but afflicts many researchers as well: people simply have a tough time inventing research topics that sound sufficiently profound and exciting. Many Ph.D. students waste needless years simply coming up with a thesis topic. And researchers often resort to reading documents from government grant agencies so they will know what to work on for the next proposal!

Good news for the CS community: the problem has at last been solved. The table below provides the answer.

To generate a technical phrase, randomly choose one item from each column. For example, selecting synchronized from column 1, secure from column 2, and protocol from column 3 produces:

cs thesis topics

The M.S. Thesis Track

Blue CS@CU logo for MS students

The MS Thesis track is for students who want to concentrate on research in some sub-field of Computer Science.  You are required to arrange for a Computer Science Faculty member who agrees to advise the thesis and the rest of your course selection prior to selecting the track.


  • Complete a total of  30 points  (Courses must be at the 4000 level or above)
  • Maintain at least a  2.7  overall GPA. (No more than 1 D is permitted).
  • Complete the  Columbia Engineering Professional Development & Leadership (PDL)  requirement
  • Satisfy  breadth requirements
  • Take at least  6 points  of technical courses at the 6000 level
  • At most, up to 3 points  of your degree can be Non-CS/Non-track If they are deemed relevant to your track and sufficiently technical in nature. Submit the  Non-CS/NonTrack form  and the course syllabus to your CS Faculty Advisor for review


Visit the breadth requirement page for more information.


Students must take 9 credits of COMS E6902 Thesis. The points are typically spread over multiple semesters, e.g., 3 points each for 3 semesters or 4.5 points each for 2 semesters. No more than 9 points of E6902 may be taken. Sign up for the section number of E6902 associated with your thesis advisor.


Students are required to complete 9 elective credits of graduate courses (4000-level or above) selected from Computer Science and/or related areas together with your faculty thesis advisor. These would normally be strongly related to your thesis topic.

Up to 3 of these points may be in COMS E6901 Projects in Computer Science.

Please note:

The  degree progress checklist should be used to keep track of your requirements. if you have questions for your track advisor or cs advising, you should have an updated checklist prepared, due to a significant overlap in course material, ms students not in the machine learning track can only take 1 of the following courses – coms 4771, coms 4721, elen 4903, ieor 4525, stat 4240, stat 4400/4241/5241 – as part of their degree requirements, the elective track courses cannot be imported from another institution., 4. general electives.

Students must complete the remaining credits of General Elective Courses at the 4000 level or above. At least three of these points must be chosen from either the Track Electives listed above or from the CS department at the 4000 level or higher.

Students may also request to use at most 3 points of Non-CS/Non-Track coursework if approved by the process listed below.


A thesis proposal is presented to your thesis committee at least three months before your defense. Your thesis committee should have three members. Two of them must be internal, but one can be an outsider. Please bring the thesis defense form to your defense. Once completed, please submit the form to CS Advising via email: [email protected].

The thesis cannot be imported from another institution.

A publication-quality thesis document is also published as a CS department technical report. Once completed, please upload your thesis into MICE.


Please visit  the Directory of Classes  to get the updated course listings. Please also note that not all courses are offered every semester or even every year. A few courses are offered only once every two or three years or even less frequently.

Updated: 10/17/2023

Find open faculty positions here .

Computer Science at Columbia University

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Press mentions, dean boyce's statement on amicus brief filed by president bollinger.

President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

Mary C. Boyce Dean of Engineering Morris A. and Alma Schapiro Professor

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Computer Science Dissertation Topics

Dissertations are one of the main pieces of work students undertake at university and they provide you with an opportunity to work independently and on something that really interests you. It’s easier to research essay questions and assignment topics that have been set for you, but it can be difficult to decide what to do when you have been given some freedom. There are so many areas that you could focus on when it comes to your computing dissertation, so we have come up with a range of original topics that might help to narrow down your interest:

Hardware, Network and Security Dissertation Topics

Software, programming and algorithm dissertation topics, information systems – computer science dissertation topics.

Computer Science is usually defined as the study of computers and technological systems. It also refers to the theories and practices adopted to reinforce Information Technology (IT). In contrast to computer or electrical engineers, computer scientists often deal with software programs, application evaluation, and programming languages. Major areas of study within the field of Computer Science include project management, artificial intelligence, computer network or systems, security, information systems, and the virtualisation of computer interfaces. Dissertation topics related to this field include:

  • A survey of the different technologies and algorithms for parsing and indexing multimedia databases.
  • How to visualise text categorisation with complex hierarchal structures and machine learning?
  • What are the different tools and techniques in software requirements understanding in the United Kingdom?
  • Conducting autonomous navigation within both indoor and outdoor environments and settings.
  • How to improve the value of inter-organisational knowledge management using IT?
  • Intelligent Marketing: Applying the concepts and methods of artificial intelligence in advertising & marketing process.
  • Computing a virtual model of an environment using an autonomous mobile robot.
  • How to identify the cybersecurity challenges of adopting automated vehicles in the United Kingdom?
  • How to identify the best approach to perform successful System-Level Testing of Distributed Systems.
  • What are the analysis and design requirements for a Next Generation Software Release Management System?
  • How to design a cloud-based Information System for an oil storage company based on Internet Technologies?
  • How to identify the requirements of Enterprise Content Management System for a software development company?
  • How to determine the various underlying factors that have significant impact on the information systems development process?
  • Investigation of ‘agile project management methods’ risk management evaluation and project management tools that integrate risk analysis into project management practices.
  • How to effectively implement risk approaches during software development process to prevent unsuccessful implementations?
  • What are the contemporary challenges/ issues in database design and information systems development?
  • Effectively implementing Bio-informatics to improve the provision of healthcare services in the United Kingdom.

Network security refers to all activities that are designed to protect the usability and reliability of organizations’ information and network structure, including software and hardware security measures and technologies. Efficient network security measures would include monitoring access to a network, while also scanning for potential threats or attacks, and preventing malicious activities on secured networks. Ultimately, network security is concerned with the security of an organisation’s information resources and computing assets. More dissertation topics related to hardware, network and security include:

  • Conducting a test lab for the performance analysis of TCP over Ethernet LANs on Windows operating systems.
  • Potential Privacy and Security Risks when authenticating on the Internet with Electronic ID cards.
  • How to prevent relay attacks and improve the security of smart card network transmissions?
  • What are the different security mechanisms in IEEE 802.11-based WLANs?
  • How to design efficient Intrusion Detection System for 4G networks
  • Explore the use of intrusion detection systems for intelligent analysis of data across multiple gateways.
  • How to develop a secure runtime/programming environment for studying the behaviour of malicious botnets and network worms
  • Analysis of network security using a programmatic approach.
  • What are the different strategic and methodological approaches for the development of ICT systems?
  • How to design and implement a distributed file sharing system used for supporting content mobility and disconnection tolerant communication?
  • How to design a secure, scalable and component-based Network Monitoring tool using struts and hibernates.
  • Scalable Router placement in software-defined networks.
  • An evaluation framework for secured routing in structured peer-to-peer (overlay) networks.
  • What are the issues for coordinated transmission techniques in next generation 5G wireless networks?
  • Performance studies of VoIP over Wireless and Ethernet LANs?
  • What is the impact of signal strength on Wi-Fi link throughput using propagation measurements?
  • Network Traffic Anomaly Detection using Software Defined Networking
  • How to secure data sharing in P2P (Peer-to-Peer) and Wi-Fi networks
  • How to apply database technologies for managing network data?
  • Fault recovery and redundancy in real-time wireless networking systems
  • Fault recovery and redundancy in 4G wireless networking systems.
  • Anonymous routing based on characteristics protocol
  • Planning for secure and dependable 4th generation wireless networks.
  • Using dynamic proxies to support RMI in a mobile environment.
  • A policy creation and enforcement environment for an IP network.
  • Real Time 3D motion tracking for interactive computer simulations Peer-to-peer live streaming and Video on Demand Design Issues and Challenges?
  • Using Humans as Cyber security sensors (HAASS) for the Internet of Things.
  • Large-scale automatic classification for phishing network attacks.
  • Enforcing Network Access Control through Security Policy Management.

Computer software, or any other types of software, is a general term used to describe a collection of computer programs, procedures and documentation that perform tasks or activities on a computer system. The term includes application software, such as word processors or dynamic websites, which perform productive tasks for users, system software such as operating systems, which interface with hardware to provide the necessary services for application software, database organisers to deal with big data and middleware which controls and co-ordinates distributed systems. Here are some original and relevant dissertation topics on software, programming and algorithm:

  • Development of web based document management system by using markup languages like J2EE, XML and Microsoft SQL Server
  • Development of room scheduling and work mapping system using software frameworks like Microsoft .NET Framework
  • Implementation and evaluation of optimal algorithm for computing association rules in certain environment
  • Implementation and evaluation of optimal algorithm for generating clusters
  • Implementation and evaluation of optimal algorithm for generating optimal and near optimal classification trees
  • Implementation and evaluation of heuristic algorithm for computing association rules
  • Implementation and evaluation of heuristic algorithm for generating clusters
  • Implementation and evaluation of heuristic algorithm for generating optimal and near optimal classification trees
  • Different techniques for designing intelligent interfaces for database systems, which provide a paradigm for programming databases without the knowledge of SQL and tables
  • Fault-Tolerant Routing in interconnection networks with multiple passes and fixed control variables
  • Fault-Tolerance analysis of sorting networks
  • Analysis, design and implementation of web services security framework
  • Hardware and/or high speed computer arithmetic using the residue number system
  • Implementation and evaluation of fast algorithms for One-Way Hashing Functions
  • Different techniques for testing embedded software systems
  • Methods to design a dynamic proxy based architecture to support distributed java objects in a mobile environment
  • Modular data serialization and mobile code
  • Various ways to improve Open Web Architectures
  • An adaptive web-based learning environment
  • Transportation (Bus/Car/Taxi) tracking service: Design and implementation of a device independent passenger information system
  • Development and evaluation of a scalable, fault tolerant telecommunications system using EJB and related technologies cryptographic access control for a network file system.
  • Event-based middleware for collaborative ad hoc applications
  • Proactive persistent agents – using situational intelligence to create support characters in character-centric computer games
  • Develop Java Applets to investigate the feasibility of designing objects to be manufactured by specification through individual users via the web
  • Development of distributed software environment by using Java RMI or alternative Java technologies, where users can work collaboratively on a project via the internet
  • Develop Java Programs for Applied Financial Systems like stock markets
  • Develop Web systems (HTML, CSS, JavaScript) to structure intelligent rental car booking system
  • Develop exercise-workout tracking app on Android/iOS

The term information system sometimes refers to a system of persons, data records and activities that process the data and information in an organisation, and it includes the organisation’s manual and automated processes. It can also include the technical aspect of HCI or human computer interaction. Computer-based information systems are the field of study for information technology, elements of which are sometimes called an “information system” as well. Dissertation topics on information systems include:

  • Challenges of building information systems for large healthcare like NHS UK
  • E-recruitment standards: challenges and future directions
  • Challenges and opportunities in migrating to web-based information services
  • Change management on the web environment
  • Changing nature of web space requirements
  • An analysis of collaborative social network tools for the gathering and classification of information from young people/middle/old aged people
  • Government policies toward adoption and diffusion of ICT, including e-government services and high-speed Internet access for household consumers/citizens in United Kingdom
  • Impact of e-publishing on the future of libraries
  • Impact of the web on library users
  • Implementing a new integrated information system in the library environment
  • Impact of full-text databases on search engine services
  • Impact of full-text databases on shopping cart users
  • Impact of Internet and cyber infrastructure on jobs and income in UK
  • Impact of Internet and Cyber infrastructure on marketing and marketing users in the United Kingdom
  • Implications for information seeking behaviour and retrieval
  • Usage of scientific innovation and information society by students in schools
  • Usage of scientific innovation and information society by graduation (both undergrad and postgrad) students
  • Integrating multimedia and the web into language planning and measuring the impact of applications on language use
  • Internet-based services, products, technologies and their impact on e-marketing, service, and utilisation: challenges and/or methodology to meet patron needs as marketing campaigns migrate to a digital/virtual environment
  • Different models of e-marketing services with the use of computers, networks, and the Internet.
  • Building Information System for e-learning in educational institutes in UK
  • Managing and tracking traffic fines by using big data analysis
  • Tracking over-speeding by using speed camera (using an intelligent database to store speed limits)
  • Improving HCI (human-computer interaction) by using AI (artificial intelligence) systems on mobile devices
  • Improving HCI (human-computer interaction) by using AI (artificial intelligence) systems on personal computers (laptops or desktops)
  • Monitoring an individual’s behaviour over social media like Facebook, Twitter etc. and develop patterns
  • Monitoring a young person’s usage and behaviour over social media like Facebook, Twitter etc. and develop patterns

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Home > School, College, or Department > MCECS > Computer Science > Dissertations and Theses

Computer Science Dissertations and Theses

Theses/dissertations from 2023 2023.

A Deep Hierarchical Variational Autoencoder for World Models in Complex Reinforcement Learning Environments , Sriharshitha Ayyalasomayajula (Thesis)

Toward Efficient Rendering: A Neural Network Approach , Qiqi Hou (Dissertation)

Implementing a Functional Logic Programming Language via the Fair Scheme , Andrew Michael Jost (Dissertation)

Multi-Agent Deep Reinforcement Learning for Radiation Localization , Benjamin Scott Totten (Thesis)

Theses/Dissertations from 2022 2022

Using Intrinsically-Typed Definitional Interpreters to Verify Compiler Optimizations in a Monadic Intermediate Language , Dani Barrack (Thesis)

An Automated Zoom Class Session Analysis Tool to Improve Education , Jack Arlo Cannon II (Thesis)

Scaling EPA-RIMM with Multicore System Management Interrupt Handlers , Alexander K. Freed (Thesis)

Unpaired Style Transfer Conditional Generative Adversarial Network for Scanned Document Generation , David Jonathan Hawbaker (Thesis)

Toward Analyzing the Diversity of Extractive Summaries , Aaron David Hudson (Thesis)

Making Curry with Rice: An Optimizing Curry Compiler , Steven Libby (Dissertation)

Domain Knowledge as Motion-Aware Inductive Bias for Deep Video Synthesis: Two Case Studies , Long Mai (Dissertation)

Theses/Dissertations from 2021 2021

Efficient Neuromorphic Algorithms for Gamma-Ray Spectrum Denoising and Radionuclide Identification , Merlin Phillip Carson (Thesis)

Storing Intermediate Results in Space and Time: SQL Graphs and Block Referencing , Basem Ibrahim Elazzabi (Dissertation)

Automated Test Generation for Validating SystemC Designs , Bin Lin (Dissertation)

Forecasting Optimal Parameters of the Broken Wing Butterfly Option Strategy Using Differential Evolution , David Munoz Constantine (Thesis)

Situate: An Agent-Based System for Situation Recognition , Max Henry Quinn (Dissertation)

Theses/Dissertations from 2020 2020

Multiple Diagram Navigation , Hisham Benotman (Dissertation)

Smart Contract Vulnerabilities on the Ethereum Blockchain: a Current Perspective , Daniel Steven Connelly (Thesis)

Extensible Performance-Aware Runtime Integrity Measurement , Brian G. Delgado (Dissertation)

Novel View Synthesis - a Neural Network Approach , Hoang Le (Dissertation)

Exploring the Potential of Sparse Coding for Machine Learning , Sheng Yang Lundquist (Dissertation)

Workflow Critical Path: a Data-Oriented Path Metric for Holistic HPC Workflows , Daniel D. Nguyen (Thesis)

Novel View Synthesis in Time and Space , Simon Niklaus (Dissertation)

Balancing Security, Performance and Deployability in Encrypted Search , David Joel Pouliot (Dissertation)

Theses/Dissertations from 2019 2019

A Secure Anti-Counterfeiting System using Near Field Communication, Public Key Cryptography, Blockchain, and Bayesian Games , Naif Saeed Alzahrani (Dissertation)

Spectral Clustering for Electrical Phase Identification Using Advanced Metering Infrastructure Voltage Time Series , Logan Blakely (Thesis)

Local Radiance , Scott Peter Britell (Dissertation)

Correct-by-Construction Typechecking with Scope Graphs , Katherine Imhoff Casamento (Thesis)

Versatile Binary-level Concolic Testing , Bo Chen (Dissertation)

Crumpled and Abraded Encryption: Implementation and Provably Secure Construction , Scott Sherlock Griffy (Thesis)

Knowing Without Knowing: Real-Time Usage Identification of Computer Systems , Leila Mohammed Hawana (Thesis)

Design and Experimental Evaluation of DeepMarket: an Edge Computing Marketplace with Distributed TensorFlow Execution Capability , Soyoung Kim (Thesis)

Localizing Little Landmarks with Transfer Learning , Sharad Kumar (Thesis)

Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems , Huy Phuong Tran (Dissertation)

Theses/Dissertations from 2018 2018

Bounding Box Improvement with Reinforcement Learning , Andrew Lewis Cleland (Thesis)

Sensing Building Structure Using UWB Radios for Disaster Recovery , Jeong Eun Lee (Dissertation)

Annotation-Enabled Interpretation and Analysis of Time-Series Data , Niveditha Venugopal (Thesis)

EPA-RIMM-V: Efficient Rootkit Detection for Virtualized Environments , Tejaswini Ajay Vibhute (Thesis)

Theses/Dissertations from 2017 2017

Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs , Erik Timothy Conser (Thesis)

Refining Bounding-Box Regression for Object Localization , Naomi Lynn Dickerson (Thesis)

Fully Generic Programming Over Closed Universes of Inductive-Recursive Types , Larry Diehl (Dissertation)

Communicating at Terahertz Frequencies , Farnoosh Moshirfatemi (Dissertation)

Designing In-Headset Authoring Tools for Virtual Reality Video , Cuong Nguyen (Dissertation)

Certifying Loop Pipelining Transformations in Behavioral Synthesis , Disha Puri (Dissertation)

Power-Aware Datacenter Networking and Optimization , Qing Yi (Dissertation)

Theses/Dissertations from 2016 2016

Identifying Relationships between Scientific Datasets , Abdussalam Alawini (Dissertation)

Information Representation and Computation of Spike Trains in Reservoir Computing Systems with Spiking Neurons and Analog Neurons , Amin Almassian (Thesis)

Investigations of an "Objectness" Measure for Object Localization , Lewis Richard James Coates (Thesis)

Image Stitching: Handling Parallax, Stereopsis, and Video , Fan Zhang (Dissertation)

Theses/Dissertations from 2015 2015

Novel Methods for Learning and Adaptation in Chemical Reaction Networks , Peter Banda (Dissertation)

Post-silicon Functional Validation with Virtual Prototypes , Kai Cong (Dissertation)

Novel Cryptographic Primitives and Protocols for Censorship Resistance , Kevin Patrick Dyer (Dissertation)

Hardware/Software Interface Assurance with Conformance Checking , Li Lei (Dissertation)

Leveraging Contextual Relationships Between Objects for Localization , Clinton Leif Olson (Thesis)

The Performance of Random Prototypes in Hierarchical Models of Vision , Kendall Lee Stewart (Thesis)

Tweakable Ciphers: Constructions and Applications , Robert Seth Terashima (Dissertation)

Scalable Equivalence Checking for Behavioral Synthesis , Zhenkun Yang (Dissertation)

Theses/Dissertations from 2014 2014

The Nax Language: Unifying Functional Programming and Logical Reasoning in a Language based on Mendler-style Recursion Schemes and Term-indexed Types , Ki Yung Ahn (Dissertation)

Using Spammers' Computing Resources for Volunteer Computing , Thai Le Quy Bui (Thesis)

Towards Constructing Interactive Virtual Worlds , Francis Chang (Dissertation)

System-wide Performance Analysis for Virtualization , Deron Eugene Jensen (Thesis)

Advances in Piecewise Smooth Image Reconstruction , Ralf Juengling (Dissertation)

Interpretable Machine Learning and Sparse Coding for Computer Vision , Will Landecker (Dissertation)

Optimizing Data Movement in Hybrid Analytic Systems , Patrick Michael Leyshock (Dissertation)

Ranked Similarity Search of Scientific Datasets: An Information Retrieval Approach , Veronika Margaret Megler (Dissertation)

Using GIST Features to Constrain Search in Object Detection , Joanna Browne Solmon (Thesis)

The Role of Prototype Learning in Hierarchical Models of Vision , Michael David Thomure (Dissertation)

Theses/Dissertations from 2013 2013

Object Detection and Recognition in Natural Settings , George William Dittmar (Thesis)

Trust-but-Verify: Guaranteeing the Integrity of User-generated Content in Online Applications , Akshay Dua (Dissertation)

Equivalence Checking for High-Assurance Behavioral Synthesis , Kecheng Hao (Dissertation)

Type Classes and Instance Chains: A Relational Approach , John Garrett Morris (Dissertation)

Theses/Dissertations from 2012 2012

Using Dataflow Optimization Techniques with a Monadic Intermediate Language , Justin George Bailey (Thesis)

A Survey and Analysis of Solutions to the Oblivious Memory Access Problem , Erin Elizabeth Chapman (Thesis)

A Data-Descriptive Feedback Framework for Data Stream Management Systems , Rafael J. Fernández Moctezuma (Dissertation)

Extending Relativistic Programming to Multiple Writers , Philip William Howard (Dissertation)

The Basic Scheme for the Evaluation of Functional Logic Programs , Arthur Peters (Thesis)

The Link Between Image Segmentation and Image Recognition , Karan Sharma (Thesis)

Relativistic Causal Ordering A Memory Model for Scalable Concurrent Data Structures , Josh Triplett (Dissertation)

Theses/Dissertations from 2011 2011

Conceptual Modeling of Data with Provenance , David William Archer (Dissertation)

Low-latency Estimates for Window-Aggregate Queries over Data Streams , Amit Bhat (Thesis)

Information Processing in Two-Dimensional Cellular Automata , Martin Cenek (Dissertation)

Scalable and Efficient Tasking for Dynamic Sensor Networks , Thanh Xuan Dang (Dissertation)

On the Effect of Topology on Learning and Generalization in Random Automata Networks , Alireza Goudarzi (Thesis)

HOLCF '11: A Definitional Domain Theory for Verifying Functional Programs , Brian Charles Huffman (Dissertation)

A Functional Approach to Memory-Safe Operating Systems , Rebekah Leslie (Dissertation)

Factoring Semiprimes Using PG2N Prime Graph Multiagent Search , Keith Eirik Wilson (Thesis)

High Speed Wireless Networking for 60GHz , Candy Yiu (Dissertation)

Theses/Dissertations from 2010 2010

Extensible Scheduling in a Haskell-based Operating System , Kenneth William Graunke (Thesis)

Addressing Automated Adversaries of Network Applications , Edward Leo Kaiser (Dissertation)

An Automata-Theoretic Approach to Hardware/Software Co-verification , Juncao Li (Dissertation)

Practical Type Inference for the GADT Type System , Chuan-kai Lin (Dissertation)

Scalable event tracking on high-end parallel systems , Kathryn Marie Mohror (Dissertation)

Performance Analysis of Hybrid CPU/GPU Environments , Michael Shawn Smith (Thesis)

Theses/Dissertations from 2009 2009

Computational Techniques for Reducing Spectra of the Giant Planets in Our Solar System , Holly L. Grimes (Thesis)

Programmer Friendly Refactoring Tools , Emerson Murphy-Hill (Dissertation)

A Framework for Superimposed Applications : Techniques to Represent, Access, Transform, and Interchange Bi-level Information , Sudarshan Srivivasa Murthy (Dissertation)

Graphical User Interfaces as Updatable Views , James Felger Terwilliger (Dissertation)

Theses/Dissertations from 2008 2008

Window Queries Over Data Streams , Jin Li (Dissertation)

Irrelevance, Polymorphism, and Erasure in Type Theory , Richard Nathan Mishra-Linger (Dissertation)

Semantic Components: A Model for Enhancing Retrieval of Domain- Specific Information , Susan Loucette Price (Dissertation)

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Thesis Helpers

cs thesis topics

Find the best tips and advice to improve your writing. Or, have a top expert write your paper.

105 Computer Science Thesis Topics And Writing Guide

computer science thesis

After years of hard work and struggle, you have reached the most important stage of your academic life – writing a computer science thesis. It is clear that this is a defining moment for your life, and you wouldn’t want to throw anything to chance.

As a rule, most of the computer science theses consist of two major parts – writing a particular program and writing a paper, describing its functionality and the reasons behind its development.

Whether yours is a computer science bachelor thesis, computer science Master’s thesis, or a computer science Ph.D. thesis, you know it is not easy. With all the algorithms, binary equations, and programming calculations in your head, you might end up breaking down.

That calls for computer science help. Please wait a moment; I know what you are thinking. ‘Can I trust computer science help online for such a technical subject?’ Yes, you can! As you delve deep, you will realize why we are the best match for this kind of task.

Scroll down for more.

Computer Science Thesis Outline: How To Structure It?

Like any other academic research paper, a computer science thesis has a well-laid out structure that you will follow. An outline helps underpin the bulk of such a demanding paper into manageable parts.

Before we delve into this, we have to understand that there are various computer science fields such as:

Computer hardware systems Software systems Database systems Discrete mathematics Scientific computing

Therefore, whenever you determine the outline of your bachelor’s or master thesis computer science outline, bear those categories in mind. They will help you narrow down your research to a specific area, thus saving you time and energy too!

Depending on your institution, you will have a specified outline for your computer science thesis. However, the following parts form the standard outline of any thesis paper for Masters or Ph.D.

  • Introduction (contains the background, statement of the problem, research questions, hypothesis, etc.)
  • Next is the literature review , which gives the theoretical framework of your research
  • The methodology section describes and justifies the methods to be used in data collection.
  • The results and discussion section gives answers to your research questions and explains their meaning.
  • Finally, the conclusion and recommendations review the findings and results and give a summary of the research.

The outline of a Master’s thesis in Computer Science or Ph. D. might vary depending on its requirements. Be sure to confirm with your professor on which outline to follow.

Master Thesis Computer Science Writing Guide

Writing such a large scale project is not something that can be done in a few days. The technicality of the computer science field makes it all the more complex. Some will tell you that it is more technical than coming up with a computer program.

That said, here are professionally handpicked tips for your Master Thesis in Computer Science:

  • Understand the purpose of your computer thesis If you are writing on a computer program, show a deeper knowledge and understanding of the unique and fresh program. Let the reader see that you have mastered your program to the core.
  • Begin writing early It is not something you can plan to do on the eve of the submission date. It will make your writing process light and highly motivational, especially with the voluminous books you will have to read.
  • Selecting your topic It is a task that sends chills down the spine of many students. Thus, your topic should not be too narrow or too broad – this will portray you as an amateur. Draw your computer science thesis topic from something you encountered during your coursework.
  • Keep reading To be precise, read a little, write a little, every day. It will surprise you how much ground you will have covered by the time you are submitting your thesis for review.

Latest Computer Science Thesis Topics For You!

Below is a comprehensive list of original computer science thesis topics for your inspiration:

  • A case study of the pitfalls of assembly languages used to develop applications, websites, and software.
  • Design and development of artificial intelligence systems
  • Process improvement techniques for the functionality of robots
  • An analysis of the factors that necessitate Java as one of the best programming languages
  • What is the place of ethical hacking in today’s digital society?
  • How to improve human-computer interaction
  • What is the potential of computer systems in combating terrorism and crime?
  • Identify how cyber-security enhances data confidentiality
  • The design and engineering of computer applications and other systems
  • Highlighting the differences between programming languages
  • How can organizations make use of data mining?
  • Identify efficient logistics in software architecture
  • The effect of globalization and its impact on database administration
  • A detailed investigation into the data availability and security
  • The influence and impact of emerging computer technologies on the healthcare system
  • Effect of training on knowledge performance in computer performance optimization
  • The behavior of network architecture within a computing environment
  • How can learning institutions implement computer systems for virtual and distance learning?
  • Why risk management is necessary for data protection and information security in companies
  • A detailed review of the role of education and industrialization on the development of computer systems.

From these topics, you can derive more computer science thesis topics for your presentation. Remember that the topic should be on a subject or field that is of interest to you. Settling on a complex and least researched topic might not be a good idea for you.

We can help you unearth more topics for your thesis paper. Read to the end to find out how?

Computer Science Thesis Topics

You need a computer science thesis topic before getting a computer science degree. Here is a list of interesting topics to create the best essay yet:

  • Explain how to Blockchain benefits big businesses
  • Discuss the conversation on using pet tracking chips
  • Examine how genetic sequencing works using a computer
  • How does IT help with security in financial institutions?
  • Discuss what digitization means for privacy in the medical field
  • What are the most effective ways to backup data in the medical field?
  • Discuss the limitations of communication and computation
  • Would you say the average ATM is secure?
  • Analyze an innovation that seems threatening but seems to be a favorite for the human race
  • Why should any business utilize open-source software, and how does it help with security?
  • Discuss the role of technology in the classroom
  • Discuss the personal or home use of quantum computers
  • Would you say embedded systems are changing how the world works?
  • What would you say about social media and technology trends
  • Will technology reduce recruitment in an industry (of your choosing)
  • How does technology affect human interactions, and will AI remedy that?
  • Examine the computer assistance that can help businesses perform efficient customer care
  • Analyze the technologies involved in casino live gambling
  • Would you say artificial intelligence is a threat or blessing to contemporary society
  • Explain if machine learning impact neurons and the way the brain works negatively
  • How does Big Data help corporations
  • Examine the average human’s knowledge of virtual reality through quantitative research
  • Philosophize the future of technology
  • Examine the future of programming languages and their efficiency
  • What is the most creative development in computer technology yet?

Computer Science Topics

If you are fascinated by computer science and technology, you may want to conduct in-depth research into several fields. Here are interesting topics for a computer science thesis to review:

  • Discuss databases, data mining, and how cryptocurrency works
  • Examine the network between neuron network and machine learning
  • How do robots and computers understand human language
  • Examine the role of mathematics in modeling computers
  • Discuss encryption and decryption of data
  • How does computer-aided learning work
  • How can you achieve usability in human-computer interaction
  • Are there any hacking ethics?
  • Discuss the advantages and disadvantages of the cloud storage
  • What are the cybersecurity threats in banking systems
  • Are there any loopholes in the technology of DAOs
  • How does Blockchain Technology help the world
  • Discuss the role of wireless systems in vehicles
  • Examine how biometric systems work in cars
  • Analyze how cryptography works.

Computer Science Research Topics

If you’ve ever wondered how technology and the world cooperate, here are some of the best topics to research and provide answers to for your essay or paper.

  • What is the nexus of technology and finance?
  • Examine the relationship between technology and healthcare
  • Can robots work without any human intervention?
  • How do computers interfere with forensics?
  • Discuss computer security and information and how they work
  • Examine the concerns of privacy in electronic health
  • What are the vulnerabilities in bioinformatics?
  • Explain the buildup of cyber-physical systems
  • How has deep learning helped an industry of your choice
  • What are the process computer take to analyze language
  • Discuss the basic techniques for computer security
  • Examine how natural language processing works
  • Give an overview of textual mining
  • How do deep visual models work?
  • What is meant by distributed data clustering?

Research Topics in Computer Science

Computer science deals with how computer systems work. It is all about computer programs, strategies for development, and how they help humans. Here are 15 topics for you:

  • Examine the role of computer technology in sports
  • How does technology boost the performance of professional athletes?
  • Would you say technology can lead to addiction?
  • Explore the strategies used in gaming technology
  • How does computer technology influence management solutions?
  • Discuss the role of technology in the engineering field
  • What is the future of information technology?
  • What are the key developments and trends that show the vulnerabilities of technology?
  • Using Tesla as a case study, what are technology’s vulnerabilities in automobile manufacturing and development.
  • What does psychology say about the different Advancements in technology
  • Examine the evolution of the gaming industry and how it has changed the perception of entertainment
  • Track the evolution of the entertainment industry and technology has helped propel it
  • What are the ways technology has propelled interactive media?
  • Discuss the ways technology has influenced sports betting
  • How has technology helped with fraud detection in the finance sector?

Computer Science Topics for Research

Being a computer science student means brainstorming, researching, and giving in-depth interpretations of why and how some things happen. Here are some relevant computer science research topics to steer your critical thinking skills:

  • Analyze technological innovations in the construction and real estate industries
  • Can AI have an impact on the economy of any country?
  • Technology has helped with the way we understand the environment: argue
  • Can technology help with how we solve the climate crisis?
  • What is the role of technology in social media marketing?
  • Discuss the technology companies like Google use to offer internet services
  • Deeply analyze why some Mobile phones cannot work in the US
  • How does the technology work in the creation of smart home systems?
  • Data mining and ethical concerns: what are they?
  • Will the 5-G network change how phones connect?
  • Discuss the most important technology trends since COVID-19
  • Why is facial scanning vulnerable to privacy breaches?
  • How can computer technology help in tracking crime and offenders?
  • What is the core buildup of math computing?
  • Explain the most effective and ethical ways to tackle identity theft.

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Thesis and Research Topics in Computer Science

Completing a masters Thesis in computer science is the most challenging task faced by research scholars studying in universities all across the world. As computer science is one of the most vast fields opted by research scholars so finding a new thesis topic in computer science becomes more difficult. With each passing day, new and innovative developments are coming out in this era of mechanization. These developments tend to make human life much easier and better. Technology is the forerunner of this new change. Today our life is incomplete without this technology. Cell phones, laptops and all that have become an integral part of our life. Computer Science is the seed to this technical development. There are a number of good topics in computer science for project, thesis, and research for M.Tech and Ph.D. students.

In the field of academics, we need to get rid of obsolete ideas and focus on new innovative topics which are fast spreading their arms among the vast global audience. Computer Science students both in bachelors and in masters are studying the same topics and subjects from the past few years. Students don’t even have knowledge about new masters research topics. For project and thesis work also they are relying on outdated topics. Projects like school management system, library management system etc. are now out of date. Students should shift their focus to latest technologies which are highly in demand these days and future depend upon these. Here is the list of latest topics in Computer Science that you can choose and work for your project work or thesis and research:

List of few latest thesis topics in computer science is below:

  • Thesis topics in data mining
  • Thesis topics in machine learning
  • Thesis topics in digital image processing
  • Latest thesis topics in Internet of things (IOT)
  • Research topics in Artificial Intelligence
  • Networking can be chosen as a  thesis topic in computer science
  • Trending thesis topics in cloud computing
  • Data aggregation as a  thesis topics  in Big Data
  • Research topics  in Software Engineering

Data Warehousing

Data Warehousing is the process of analyzing data for business purposes. Data warehouse store integrated data from multiple sources at a single place which can later be retrieved for making reports. The data warehouse in simple terms is a type of database different and kept isolated from organization’s run-time database. The data in the warehouse is historical data which is helpful in understanding business goals and make decisions for future prospects. It is a relatively new concept and have high growth in future. Data Warehouse provides Online Analytical Processing(OLAP) tools for the systematic and effective study of data in a multidimensional view. Data Warehouse finds its application in the following areas:

  • Financial Sector
  • Banking Sector
  • Retail Services
  • Consumer goods
  • Manufacturing

So start working on it if you have knowledge of database and data modeling.


Internet of Things(IoT)  is a concept of interconnection of various devices, a vehicle to the internet. IOT make use of actuators and sensors for transferring data to and from the devices. This technology is developed for better efficiency and accuracy apart from minimizing human interaction with the devices. The example for this is home heating in some countries when the temperature drops done through motion sensors which automatically detect the weather conditions. Another example for this is the traffic lights which changes its colors depending upon the traffic. Following are the application areas of Internet of Things(IoT):

  • Home Automation
  • Agriculture
  • Transportation
  • Environment


  • The secure and energy efficient data routing in the IOT based networks
  • The secure channel establishment algorithm for the isolation of misdirection attack in the IOT
  • The clock synchronization of IOT devices of energy efficient data communication in IOT
  • The adaptive learning scheme to increase fault tolerance of IOT
  • Mobility aware energy efficient routing protocol for Internet of Things
  • To propose energy efficient multicasting routing protocol for Internet of Things
  • The novel scheme to maintain quality of service in internet of Things
  • Link reliable and trust aware RPL routing protocol for Internet of Things
  • The energy efficient cluster based routing in Internet of Things
  • Optimizing Multipath Routing With Guaranteed Fault Tolerance in Internet of Things

Many people are not aware of this concept so you can choose for your project work and learn something new.

Big Data is a term to denote the large volume of data which is complex to handle. The data may be structured or unstructured. Structured data is an organized data while unstructured data is an unorganized data.  Big data  can be examined for the intuition that can give way to better decisions and schematic business moves. The definition of big data is termed in terms of three Vs. These vs are:

  • Volume: Volume defines large volume of data from different sources
  • Velocity: It refers to the speed with which the data is generated
  • Variety: It refers to the varied amount of data both structured and unstructured.

Application areas:


  • Privacy preserving big data publishing: a scalable k-anonymization approach using MapReduce.
  • Nearest Neighbour Classification for High-Speed Big Data Streams Using Spark.
  • Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems.
  • Disease Prediction by Machine Learning Over Big Data From Healthcare Communities.
  • A Parallel Multi-classification Algorithm for Big Data Using an Extreme Learning Machine.

Thus you can prepare your project report or thesis report on this.

Cloud Computing

Cloud Computing is a comparatively new technology. It is an internet-based service that creates a shared pool of resources for consumers. There are three service models of  cloud computing  namely:

  • Software as a Service(SaaS)
  • Platform as a Service(PaaS)
  • Infrastructure as a Service(IaaS)

Characteristics of cloud computing are:

  • On-demand self-service
  • Broad network access
  • Shared pool of resources
  • Scalability
  • Measured service

Below is the list of few latest and trending research topics in Cloud Computing :-

  • To isolate the virtual side channel attack in cloud computing
  • Enhancement in homomorphic encryption for key management and key sharing
  • To overcome load balancing problem using weight based scheme in cloud computing
  • To apply watermarking technique in cloud computing to enhance cloud data security
  • To propose improvement green cloud computing to reduce fault in the network
  • To apply stenography technique in cloud computing to enhance cloud data security
  • To detect and isolate Zombie attack in cloud computing

The common examples of cloud computing include icloud from Apple, Google-based Services like Google Drive and many more. The field is very demanding and is growing day by day. You can focus on it if you have interest in innovation.

Semantic Web

Semantic Web is also referred to as Web 3.0 and is the next big thing in the field of communication. It is standardized by World Wide Web Consortium(W3C) to promote common data formats and exchange protocols over the web. It is machine-readable information based and is built on XML technology. It is an extension to Web 2.0. In the semantic web, the information is well defined to enable better cooperation between the computers and the people. In the semantic web, the data is interlinked for better understanding. It is different from traditional data sharing technologies.

It can be a good topic for your thesis or project.

MANET stands for mobile ad hoc network. It is an infrastructure-less network with mobile devices connected wirelessly and is self-configuring. It can change locations independently and can link to other devices through a wireless connection. Following are the various types of  MANETS :

  • Vehicular ad hoc network(VANET)
  • Smartphone ad-hoc network(SPANET)
  • Internet-based mobile ad hoc network(iMANET)

You can use various simulation tools to study the functionality and working of MANET like OPNET,  NS2 , NETSIM, NS3 etc.

In MANET there is no need of central hub to receive and send messages. Instead, the nodes directly send packets to each other.

MANET finds its applications in the following areas:

  • Environment sensors
  • Vehicular ad hoc communication
  • Road Safety


  • Evaluate and propose scheme for the link recovery in mobile ad hoc networks
  • To propose hybrid technique for path establishment using bio-inspired techniques in MANET’s
  • To propose secure scheme for the isolation of black hole attack in mobile ad hoc networks
  • To propose trust based mechanism for the isolation of wormhole attack in mobile ad hoc networks
  • The novel approach for the congestion avoidance in mobile ad hoc networks
  • To propose scheme for the detection of selective forwarding attack in mobile ad hoc networks
  • To propose localization scheme which reduce faults in mobile ad hoc network
  • The energy efficient scheme for multicasting routing in wireless ad hoc network
  • The scheme for secure localization aided routing in wireless ad hoc networks
  • The cross-layer scheme for opportunistic routing in mobile ad hoc networks

Just go for it if you have interest in the field of networking and make a project on it.

Machine Learning

It is also a relatively new concept in the field of computer science and is a technique of guiding computers to act in a certain way without programming. It makes use of certain complex algorithms to receive an input and predict an output for the same. There are three types of learning;

  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning

Machine Learning  is closely related to statistics. If you are good at statistics then you should opt this topic.

Data Mining

Data Mining is the process of identifying and establishing a relationship between large datasets for finding a solution to a problem through analysis of data. There are various tools and techniques in Data Mining which gives enterprises and organizations the ability to predict futuristic trends.  Data Mining  finds its application in various areas of research, statistics, genetics, and marketing. Following are the main techniques used in the process of Data Mining:

  • Decision Trees
  • Genetic Algorithm
  • Induction method
  • Artificial Neural Network
  • Association


  • Performance enhancement of DBSCAN density based clustering algorithm in data mining
  • The classification scheme for sentiment analysis of twitter data
  • To increase accuracy of min-max k-mean clustering in Data mining
  • To evaluate and improve apriori algorithm to reduce execution time for association rule generation
  • The classification scheme for credit card fraud detection in Data mining
  • To propose novel technique for the crime rate prediction in Data Mining
  • To evaluate and propose heart disease prediction scheme in Data Mining
  • Software defect prediction analysis using machine learning algorithms
  • A new data clustering approach for data mining in large databases
  • The diabetes prediction technique for Data mining using classification
  • Novel Algorithm for the network traffic classification in Data Mining

Advantages of Data Mining

  • Data Mining helps marketing and retail enterprises to study customer behavior.
  • Organizations into banking and finance business can get information about customer’s historical data and financial activities.
  • Data Mining help manufacturing units to detect faults in operational parameters.
  • Data Mining also helps various governmental agencies to track record of financial activities to curb on criminal activities.

Disadvantages of Data Mining

  • Privacy Issues
  • Security Issues
  • Information extracted from data mining can be misused
  • Artificial Intelligence

Artificial Intelligence is the intelligence shown by  machines  and it deals with the study and creation of intelligent systems that can think and act like human beings. In  Artificial Intelligence , intelligent agents are studied that can perceive its environment and take actions according to its surrounding environment.

Goals of Artificial Intelligence

Following are the main goals of Artificial Intelligence:

  • Creation of expert systems
  • Implementation of human intelligence in machines
  • Problem-solving through reasoning

Application of Artificial Intelligence

Following are the main applications of Artificial Intelligence:

  • Expert Systems
  • Natural Language Processing
  • Artificial Neural Networks
  • Fuzzy Logic Systems

Strong AI –  It is a type of artificial intelligence system with human thinking capabilities and can find a solution to an unfamiliar task.

Weak AI –  It is a type of artificial intelligence system specifically designed for a particular task. Apple’s Siri is an example of Weak AI.

Turing Test is used to check whether a system is intelligent or not. Machine Learning is a part of Artificial Intelligence. Following are the types of agents in Artificial Intelligence systems:

  • Model-Based Reflex Agents
  • Goal-Based Agents
  • Utility-Based Agents
  • Simple Reflex Agents

Natural Language Processing –  It is a method to communicate with the intelligent systems using human language. It is required to make intelligent systems work according to your instructions. There are two processes under Natural Language Processing – Natural Language Understanding, Natural Language Generation.

Natural Language Understanding involves creating useful representations from the natural language. Natural Language Generation involves steps like Lexical Analysis, Syntactic Analysis, Semantic Analysis, Integration and Pragmatic Analysis to generate meaningful information.

Image Processing

Image Processing is another field in Computer Science and a popular topic for a thesis in Computer Science. There are two types of image processing – Analog and Digital Image Processing. Digital Image Processing is the process of performing operations on digital images using computer-based algorithms to alter its features for enhancement or for other effects. Through Image Processing, essential information can be extracted from digital images. It is an important area of research in computer science. The techniques involved in image processing include transformation, classification, pattern recognition, filtering, image restoration and various other processes and techniques.

Main purpose of Image Processing

Following are the main purposes of  image processing :

  • Visualization
  • Image Restoration
  • Image Retrieval
  • Pattern Measurement
  • Image Recognition

Applications of Image Processing

Following are the main applications of Image Processing:

  • UV Imaging, Gamma Ray Imaging and CT scan in medical field
  • Transmission and encoding
  • Robot Vision
  • Color Processing
  • Pattern Recognition
  • Video Processing


  • To propose classification technique for plant disease detection in image processing
  • The hybrid bio-inspired scheme for edge detection in image processing
  • The HMM classification scheme for the cancer detection in image processing
  • To propose efficient scheme for digital watermarking of images in image processing
  • The propose block wise image compression scheme in image processing
  • To propose and evaluate filter based on internal and external features of an image for image de noising
  • To improve local mean filtering scheme for de noising of MRI images
  • To propose image encryption base d on textural feature analysis and chaos method
  • The classification scheme for the face spoof detection in image processing
  • The automated scheme for the number plate detection in image processing


Bioinformatics is a field that uses various computational methods and software tools to analyze the biological data. In simple words, bioinformatics is the field that uses computer programming for biological studies. It is the current topic of research in computer science and is also a good topic of choice for the thesis. This field is a combination of computer science, biology, statistics, and mathematics. It uses image and signal processing techniques to extract useful information from a large amount of data. Following are the main applications of bioinformatics:

  • It helps in observing mutations in the field of genetics
  • It plays an important role in text mining and organization of biological data
  • It helps to study the various aspects of genes like protein expression and regulation
  • Genetic data can be compared using bioinformatics which will help in understanding molecular biology
  • Simulation and modeling of DNA, RNA, and proteins can be done using bioinformatics tools

Quantum Computing

Quantum Computing is a computing technique in which computers known as quantum computers use the laws of quantum mechanics for processing information. Quantum Computers are different from digital electronic computers in the sense that these computers use quantum bits known as qubits for processing. A lot of experiments are being conducted to build a powerful quantum computer. Once developed, these computers will be able to solve complex computational problems which cannot be solved by classical computers. Quantum is the current and the latest topic for research and thesis in computer science.

Quantum Computers work on quantum algorithms like Simon’s algorithm to solve problems. Quantum Computing finds its application in the following areas:

The list is incomplete as there are a number of topics to choose from. But these are the trending fields these days. Whether you have any presentation, thesis project or a seminar you can choose any topic from these and prepare a good report.

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201 Computer Science Topics (Updated for 2023)

computer science topics

If you are reading this, you are surely in need of some excellent computer science topics. The good news is that you have arrived at the right place. We have 201 brand new computer science topics that should work great in 2023. The even better news is that each and every one of these research topics in computer science is 100% free to use. You can reword our topics or use them as they are; it’s up to you.

Wondering why you need computer science research paper topics? The truth is that by using the best research paper topics in computer science, you get the chance to win some bonus points from your professor.

After all, who wouldn’t want to read papers on interesting topics in computer science or on some awesome computer science ethics topics? Your professor is bored of reading essays on the same old topics over and over again. Bring something fresh to the table and you’ll immediately stand out from your classmates. If the scope of your work allows, you can also check our technology topics . Without further ado, here is our list of research topics in computer science.

Best Computer Science Research Topics

Writing a research paper can be tough if you don’t pick the right topic. Here are some of the best computer science research topics you can find in 2023:

  • How important is machine learning?
  • The latest advancements in quantum computing
  • The next level of the Internet
  • Virtualization technologies
  • Real-life applications of bioinformatics
  • Introducing computer science in high school
  • Define deep learning
  • Describe MIMO OFDM wireless communication

Easy Topics in Computer Science

If you don’t want to spend too much time working on your paper, we suggest you pick one of our easy topics in computer science:

  • What is a computer virus?
  • Explain the TCP/IP protocol
  • Explain how the microprocessor works
  • The role of Random Access Memory
  • Protecting endangered species using computers
  • Describe a virtual reality device
  • How does machine learning work?
  • Explain the term “Neural Network”

Computer Security Topics

There are literally thousands of topics to discuss when it comes to computer security. We managed to narrow down the list of computer security topics to only the most interesting of them:

  • Top 3 most dangerous viruses
  • What is a Trojan Horse?
  • The role of antivirus/firewall solutions
  • In-depth analysis of ransomware
  • Everything about the Mydoom virus
  • Virus propagation methods
  • The most secure passwords
  • In-depth analysis of mobile protection

Hot Topics in Computer Science

Are you looking for the newest and most interesting topics? If you are, you should check out our hot topics in computer science:

  • What is the Internet of Things?
  • Semantic Web
  • Bioinformatics
  • Latest image processing algorithms
  • Machine Learning
  • Latest in Cloud Computing
  • Artificial Intelligence breakthroughs
  • Quantum Computing

Computer Science Research Topics for Undergraduates

Undergrads should avoid wasting time searching for topics and simply pick one of these free computer science research topics for undergraduates:

  • Data Warehousing for the financial sector
  • IoT applications in healthcare
  • Data Warehousing in the retail services sector
  • IoT applications in manufacturing
  • Big data applications/algorithms
  • SaaS vs PaaS
  • Mobile ad hoc networks for vehicles
  • Data mining: The Genetic algorithm

AP Computer Science Topics

Mastering the AP Computer Science A programming class is not easy. Fortunately, we have some AP computer science topics that can help you write a great paper in no time:

  • Discuss computer-assisted education
  • Novel emerging technologies in computer science
  • Open-source vs. proprietary software
  • Natural language processing real life applications
  • Evaluating 3D models effectively
  • Internet of Things applications in the medical field
  • Discuss data security in a pharmacy
  • What is mesh generation and what are its applications?

Computer Ethics Topics

Yes, there is such a thing as computer ethics. In fact, the subject is pretty vast, so you have plenty of computer ethics topics to choose from:

  • Ethic problems with data mining
  • Machine learning issues
  • Internet of Things controversies
  • AI security concerns
  • Image processing and privacy concerns
  • Quantum computing ethic problems
  • Controversies surrounding robots
  • Internet censorship

Computer Science and Robotics Topics

Computer science can be tightly linked to advances in robotics, so why don’t you write about one of our computer science and robotics topics:

  • Social robots
  • Machine learning in robotics
  • Robot vision: AI applications
  • Autonomous cars
  • Are computers taking our jobs?
  • Robots in the healthcare sector
  • AI in the Mars Rovers
  • Programming an industrial robot

Best Project Topics for Computer Science Student

If you are looking for the best project topics for computer science student, you are in luck. We have exactly what you need:

  • Write a program in Java
  • Create a Website in PHP and MySQL
  • Write an Android app
  • Explore Microsoft Mobile app ideas
  • Graphical Interfaces in Java
  • Java Server Faces applications
  • Create a relational database
  • Create a Web app

Controversial Topics in Computer Science

There are many controversial topics in computer science, but we managed to pick the best ones. Use any of them for free:

  • Robots are stealing our jobs
  • Privacy concerns on the Internet
  • How safe are social networking platforms?
  • Policing the Internet
  • The role of the dark net
  • Corporations using personal data
  • Targeted ads
  • Tracking cookies

Evolution of Computers Topics

If you are interested in writing about how things evolved since the first computers appeared on the market, we have some interesting evolution of computers topics for you:

  • Describe the Fiber Distributed Data Interface (FDDI)
  • What is a firewall and how does it work?
  • What is an ExpressCard?
  • How does an adapter card work?
  • From the first computer to quantum computing
  • The history of the Cloud
  • The evolution of Denial of Service attacks
  • Quantum computers

Computer Architecture Research Topics

Interested in discussing the functionality, organization and implementation of computer systems? You need our computer architecture research topics:

  • What are reduced instruction set computers?
  • Describe synchronous design
  • Parallel hardware systems
  • The Sun SPARK architecture
  • Analyze data-driven nets
  • Discuss functional programming methods
  • Discuss micropipelines
  • The Von Neumann architecture

Computer Science Thesis Topics

If you need to write a thesis in computer science, our writers have some excellent computer science thesis topics for you. Choose one:

  • Quantum computing advancements
  • The role of big data in the banking sector
  • Artificial intelligence and computer security
  • An in-depth analysis of an antivirus tool
  • Image processing algorithms
  • Discuss model-based reflex agents (AI)
  • Discuss fuzzy logic systems
  • Data mining in governmental agencies

Internet of Things Ideas

You’ve probably heard about the IoT, but didn’t really bother to investigate. Check out these Internet of Things ideas and impress your professor:

  • The concept of a smart home
  • What is the IoT?
  • Internet of Things applications
  • Internet of Things in manufacturing
  • Product flow monitoring
  • IoT in Quality Control
  • The Ring doorbell camera
  • Video streaming with IoT

Quantum Computing Ideas

Truth be told, quantum computing is one of the hottest ideas and works great for 2023. Pick one of our quantum computing ideas for free:

  • Discuss a quantum algorithm
  • What is quantum computing?
  • Discuss adiabatic optimization
  • Discuss quantum annealing
  • Cryptography in quantum computing
  • 5 requirements for quantum computing
  • Quantum computing and financial modeling
  • Implications for Artificial Intelligence

Computer Science Project Topics

So, you are interested in starting a computer science project. Pick one of these computer science project topics for free right now:

  • Securing a workstation
  • Face detection application
  • An Android battery safer system
  • Create your very own search engine
  • Write a group chat app in Java
  • Selenium browser automation applications
  • Mitigate a DDoS attack
  • Load balancing applications

Computer Engineering Research Topics

Researching good computer engineering topics can take hours. Why waste your time when we have some computer engineering research topics right here:

  • Clustering in data mining
  • The advantages of data mining
  • The disadvantages of using big data
  • Artificial intelligence in security applications
  • Strong AI vs. Weak AI
  • Pattern measurement in image processing
  • Computer-aided image restoration methods
  • DNA/RNA simulations using bioinformatics

Interesting Computer Science Topics

Want to make sure your professor notices your paper? No problem! Simply pick one of these interesting computer science topics:

  • Green cloud computing
  • Spectral clustering in data mining
  • Fraud detection using big data
  • AI uses of computer vision
  • CNN Advanced Machine Learning
  • Augmented reality vs. virtual reality

Computer Networks Topics

Writing about networks and networking never gets old. We have some highly interesting computer networks topics just for you:

  • Create a network (practical project)
  • Network security best practices
  • The IPv6 protocol
  • The TCP/IP protocol
  • How does the Internet work?
  • Banking computer networks

Current Topics in Computer Science

You are probably interested in writing about the newest and hottest topics, so here are some current topics in computer science:

  • Define data science
  • The 5G network
  • What are swarm robots?
  • NoSQL databases
  • Programs creating programs
  • Using computer science in biology

Cool Computer Security Research Topics

Do you want to impress your professor and secure a top grade? Pick one of our cool computer security research topics:

  • Humans: the weak link in network security
  • Analyzing the top 3 online scams
  • Discuss endpoint security best practices
  • IoT security
  • What is a cyber security audit?
  • Best algorithm for data encryption
  • Ransomware and ways to prevent it
  • Discuss unified user profiles

Computer Science Presentation Topics

Our team of ENL writers managed to put together an excellent list of computer science presentation topics for you:

  • Importance of biometrics in computer security
  • Windows vs. Linux vs. MacOS security
  • DDoS attacks on vehicular ad hoc networks
  • Describe a software-defined network
  • Using artificial neural networks effectively
  • Model-free versus model-based reinforcement learning
  • The future of wireless: the 5G network

PhD Research Topics in Computer Science

Are you looking to start on your PhD but don’t know which topic to choose? We have some ideas of PhD research topics in computer science you might like:

  • Database architecture: literature review
  • Develop a novel search algorithm
  • Creating a new network protocol
  • Advanced computer vision in robots
  • Write a deep learning algorithm
  • Solving the decoherence problem with quantum computers

Computer Forensics Research Paper Topics

Ever wonder how law enforcement manages to catch cyber criminals? We have some of the best computer forensics research paper topics right here:

  • Recovering data for computer forensics
  • Identifying users on the darknet
  • The Fourth Amendment and computer forensics
  • Discuss digital steganography
  • What is criminal profiling?
  • Cyber surveillance

Artificial Intelligence Topics

AI is what everyone’s talking about right now, so it’s the perfect topic for 2023. Fortunately, we have some very nice artificial intelligence topics:

  • What is reinforcement learning?
  • Discuss recommender systems
  • The 4 types of AI
  • Is AI dangerous?
  • Predicting housing price using AI
  • AI in the medical profession

Interesting Cyber Security Ideas

Are you interested in cyber security? It’s an awesome field, we have to admit. Pick one of these interesting cyber security ideas and start writing:

  • Best anti-virus system today
  • Discuss secure passwords
  • What is a brute force attack?
  • The human element in cyber security
  • Security awareness
  • Working remotely security solutions

Trends in Computer Science Topics

If you like to analyze trends, computer science is one of the best subjects to try your hand on. Take a look at our trends in computer science topics:

  • The appearance of Mini-VGA connectors
  • Discuss multiprocessing in 2023
  • How was the Small-Scale Experimental Machine built?
  • Computers and education in 2023
  • Computers and medicine in 2023
  • The evolution of computing power
  • What is a neural computer?
  • The Internet of Things in 2023

Need More Computer Topics?

Didn’t find the computer topics you were looking for? No problem! In addition to our computer architecture topics, computer science controversial topics and PhD research topics in computer science, we can help students with many others. Professionals providing computer science homework help can quickly put together a list of unique computer related topics for you. All you have to do is ask.

If you need more computer science topics for research or if you just need some simple computer science essay topics, don’t hesitate to contact us. We can send you a list of original computer research topics in no time. Each one of our topics can win you a top grade.

So, what are you waiting for? Get your list of computer science research papers topics right now. Get in touch with us!

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Home » Blog » Dissertation » Topics » Computer Science » Computer Science Dissertation Topics (27 Examples) For Research

cs thesis topics

Computer Science Dissertation Topics (27 Examples) For Research

Mark Jun 12, 2020 Jun 12, 2020 Computer Science No Comments

Computer science is a broad subject, which is creating new research opportunities for students. In this field of study, there are a number of themes and aspects to the study and practically each of them can be used to develop a strong dissertation topic. We have gathered many interesting topics to develop a list of […]

computer science dissertation topics

Computer science is a broad subject, which is creating new research opportunities for students. In this field of study, there are a number of themes and aspects to the study and practically each of them can be used to develop a strong dissertation topic.

We have gathered many interesting topics to develop a list of computer science dissertation topics. Choosing the right topic from the list of research topics on computer science can help in carrying out research. The project topics on computer science are presented here.

List of Computer science dissertation topics

Can software programs reduce global energy consumption?

How can modern computer applications be supported by operating?

Exploring the best password management applications.

A literature review of the characteristics of a network.

How can data be transformed into dynamic decision making?

Studying the implementation of dart matches analysis.

Differentiating between different modifications in speech manipulator tool.

Exploring the conflicts in software designing and finding ways to detect and manage them proactively.

How to detect cheating in online games based on the behavioural patterns of users?

To study the importance of privacy of electronic records.

A literature review on software development processes and the elimination of risks.

How to design an information system for a multinational company?

Studying the concept of intelligent marketing.

To explore the GUI Test Suites and its automated repair process.

How can the lens of the camera recognise facial expressions and emotions?

To analyse data mining and gene expression analysis in the context of bioinformatics.

Studying the impact of an integrated robotics STEM course for high school students.

To investigate the concept of fuzzy logic controller design for intelligent robots.

A literature review on the real-time embedded systems: present and future.

Security issues, challenges, and solutions related to cloud computing.

Analysing the educational robotics through a comparative study.

Exploring the impact of bioinformatics on medicine and agriculture.

To study cloud computing: a review of different models and concepts.

Investigating the deep neural networks in the context of computational neuroscience.

What is cryptography? A comparative analysis of modern techniques.

Studying the potential of automatic word comparison for historical linguistics.

A literature review on DNA computing-based authentication techniques and its importance.

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A list of master’s thesis topics in computer science

by Bastis Consultores | Aug 2, 2021 | Educational News | 1 comment

cs thesis topics

Choosing a topic for your master’s thesis is a very important step. It all depends, to a large extent, on your interests and abilities. During your studies you have surely discovered the areas of computer science that you are good at and which of them you plan to improve in the future. Before you embark on a topic search, consider the following suggestions to help you craft an initial strategy.

Suggestions when choosing a Master’s Thesis topic

First of all, you have to choose a good supervisor or academic advisor. It is very important that you collaborate with a teacher whose interests match your topic; otherwise, you will benefit little from the writing process. Ask questions and find out if previous students were satisfied with their supervision.

Introduction to Computer Science Dissertations

A master’s degree in Information and Communications Technology is designed to meet the requirements of people working as different professionals, such as academics, administrators and managers, technical staff, trainers and developers in the private or public sectors. A master’s degree in computer science combines theory and educational practice to create a learning experience that allows for the development of skills that can be applied to complicated real-world problems.

The MSc in Computer Science aims to improve knowledge of how computer systems, software and applications, as well as other forms of communication technologies, can be used to drive economic growth, improve learning capacity, encourage greater communication and socialisation and generally improve living standards.

Thinking about the subfields of computer science that interest you

When looking for a thesis topic, don’t just focus on the defended works. Again, ask your teacher to give you a list of current topics in the field of computer science that are underdeveloped. Your professors have deep experience and are aware of all directions of research conducted in their areas of scientific interest. They can suggest a great idea and help you put it into practice. Here are some ideas:

Programme structure (old and new programme structures)

Computer security (privacy and openness)

Relationships between hardware and software (adaptation of hardware to software)

Complexity theory (computational problems, mathematical questions)

Algorithms and architectures (machine learning, hardware architectures)

Artificial intelligence (computer systems capable of recognizing speech and making decisions)

Bioinformatics (modelling of human body processes)

Databases and information retrieval (collection of information and creation of easy access to it)

Multimedia (creative technologies, animation, graphics, audio)

Computational linguistics (natural language processing, machine translation, speech recognition)

You can also work in the following fields, which have been very popular in the Master’s Theses of the Pontifical Catholic University of Peru

Image Processing

Data Mining

Cloud Computing

Network Security

Service Computing [ Web Service ]

Social sensor networks

Software-defined networking

Software reengineering

Telecommunications Engineering

Text mining

Pixel per inch

Ad hoc network

Ad hoc vehicle network

Video streaming

Visual cryptography

Soft computing

Wireless body area network

No cables [Redes inalámbricas]

Wireless sensor networks

Natural language processing

Audio, voice and language processing

Brain-computer interface

Reliable and secure computing

Information security and forensics

Internet Computing

Learning technologies

Systems and cybernetics

Context-aware computing

Mobile Cloud Computing

Consider the following list of ideas according to the latest theses defended at the Technological Institute of Costa Rica

New methodologies in the teaching of computer science.

Measurement methods and software management.

Management of business processes and data.

Detection of traps in online games: a behavioral approach.

Information security and cryptography.

Real-time systems.

Route planning for tourism applications.

Data mining for environmental problems.

Real-time traffic data to model the impact of traffic accidents on the road network.

Computer-aided educational process.

Security in cloud computing.

Optical character recognition.

Search and rescue robots: movement and trajectory planning.

Computational neurobiology.

Computer DNA analysis.

Examples of topic ideas for a Master’s Thesis in Computer Science project

Taking into consideration, the ideas presented above, here are the following examples:

A study to evaluate the challenges and benefits of using robotics in the offer of services.

Artificial intelligence is being used to develop automatic robotics, such as robots used in Japan to care for older adults. This study will evaluate the challenges and benefits associated with the use of robots in the provision of services.

Impact of virtual reality systems on product promotion

Virtual reality technology has made it possible to develop a 3D environment with which people can interact as if it were a physical environment. This study will examine how the introduction of virtual reality has led to the growth of product promotion. The research will also examine the benefits in terms of costs and how the technology can be adopted in a company for use in product promotion.

Improve mobile battery life and processing power through cloud computing

The battery life of mobile phones in many of the smartphones on the market today is between two and twelve hours. This has become a major setback for the use of mobile technology, especially in areas where there are no electrical connections. This study will assess how cloud computing technology could be used to improve the battery life of mobile phones, testing the processing power of smartphones.

Integration of natural language processing in Microsoft office.

Microsoft office is very popular for its efficient services, especially in writing. However, its use is limited to people who understand the use of computers and is limited in common languages. This study will examine how natural language processing could be used to integrate indigenous language into Microsoft’s office suite.

Use of big data analytics in the detection of irresponsible use of social networks

The innovation of big data analytics (BDA) has helped many companies process real-time data from multiple sources. This has made it possible to improve the decision-making procedure and monitoring processes. This study will examine how BDA could be used in a company to control irresponsible social media use.

Assessment of the effects of database security mechanisms on system performance

Security mechanisms are very important for any database because they help detect and prevent any form of cyberattack. However, some security mechanisms have overhead costs or performance issues that slow down service delivery. This study will examine how the security mechanisms of database systems affect the performance of systems.

Remember that computer science is widely used today in different fields. Its application ranges from physics and medicine to education and entertainment. You can focus on the theoretical part of a certain topic or present your ideas about the practical use of a specific program.

An overview of various business stimulation tools; assessment of its impact on student learning in tertiary business school

Information and communication technologies have greatly improved the efficiency of business processes, making the functions of the organization more effective. Multimedia advances have also provided stronger platforms for information sharing, socialization and entertainment. Business process designs and multimedia information systems are key research areas in information and communication technologies.

M-Government; benefits and outcomes of mobile government for connected societies

Multi-agent systems allow for a higher level of collaboration between multiple agents working together to achieve a common goal. Coinciding with advances in the field of artificial intelligence, multi-agent systems are moving towards a higher level of adaptability. Stimulation programs are also an important stream of intelligent computer programs that aim to work in highly complex scenarios.

Encouraging the use of e-commerce in Saudi Arabia in light of existing challenges

The growing power of the Internet, software as a service (SAAS) is a booming trend that opens up many new research opportunities.

Implications of cloud computing for the multimedia industry

With the advancement of information and communication technologies, security remains one of the biggest concerns and also an important field of research.

Interpretation of information systems security management

The security management of information systems is evaluated according to the business environment, the organizational culture, the expectations and obligations of the different roles, the meanings of the different actions and the related behavioral patterns. The results of the two case studies show that inadequate analysis, design and management of computer-based information systems affect the integrity and integrity of an organization. As a result, the likelihood of adverse events occurs increases. In such an environment, it is very likely that security measures will be ignored or inadequate for the real needs of an organization. Therefore, what is needed is consistency between computer-based information systems and the business environment in which they are integrated.

A framework for assessing the quality of customer information

This thesis addresses a widespread, significant and persistent problem in the practice of information systems: the lack of investment in the quality of information about customers. Many organizations need clear financial models to undertake investments in their information systems and related processes. However, there are no widely accepted approaches to rigorously articulate the costs and benefits of potential improvements in the quality of customer information. This can result in low-quality customer information that impacts the broader goals of the organization.

Problematizing the digital divide: Cultural and social reproduction in a community technology initiative

Knowledge and power, experience and authority, represented by experts and formal leaders, have to come together to make work efficient. Autonomy and power become fundamental issues, with the key concepts being social value, function and visibility. Actors must be visible and make their work visible. Information systems should support work in various ways and across the organization, contributing to visibility and autonomy. These criteria are likely to be applicable not only in military contexts, but also in other types of management work.

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Source: Association for Information Systems. In:

You may also be interested in: A doctoral thesis from the University of La Rioja urges to ‘advance’ the policies of Active Aging

A list of master's thesis topics in computer science

A list of master’s thesis topics in computer science. Photo: Unsplash. Credits: Austin Distel @austindistel

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179+ Computer Science Thesis Topics – Explore Exciting Research Opportunities

Dec 17, 2023

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Dec 17, 2023 | Topics

Embarking on your Computer Science thesis journey opens up exciting possibilities. Selecting the right research topic in computer science is key – think of it as the heart of your dissertation. 

As a computer science student, you might wonder, “What makes a good topic?” Well, it’s a blend of your interests and the current trends in computer technology. We’re here to guide you through a range of master’s research topics, unveiling the latest computer science research areas for 2023. 

Your thesis is more than a graduation requirement; it’s a chance to contribute to the ever-evolving field. So, let’s explore the landscape of science research topics for 2023 and find the perfect topic to set you on the path to a stellar research paper.

Ready to dive into the exciting world of Computer Science Thesis Topics? Let’s embark on this academic adventure together!

Why is Research in Computer Science Important?

Research in Computer Science is like exploring uncharted territories of a vast digital universe. Have you ever wondered why it’s such a big deal? Well, buckle up because we’re about to uncover the significance of research in this exciting field!

  • Innovation Galore: Imagine your favorite app – how did it become so awesome? Research! It fuels the innovation engine, helping developers create new software, apps, and technologies that make our lives easier and more fun. So, the next time you’re zipping through a game or smoothly navigating a website, remember – it all starts with research.
  • Solving Real-World Problems: Have you ever faced a tech issue and wished someone had a solution? That’s where research steps in. It tackles real-world problems, from cybersecurity threats to making our gadgets smarter. Researchers are like digital detectives, solving puzzles to make our tech world safer and more efficient.
  • Staying Ahead of the Curve: Technology evolves faster than the latest viral meme. Research keeps computer scientists ahead of the curve by exploring emerging trends. It’s like having a crystal ball, allowing experts to predict what’s next and prepare for tomorrow’s tech.
  • Pushing the Boundaries: Computer scientists are the pioneers of the digital frontier. Research pushes the boundaries of what’s possible, opening doors to new realms like artificial intelligence, quantum computing, and more. It’s about dreaming big and turning those dreams into digital realities.

List Of Few Latest Thesis Topics In Computer Science 

  • Enhancing Virtual Reality Experiences Through Advanced Machine Learning Algorithms
  • A Comprehensive Analysis of Natural Language Processing Techniques for Sentiment Analysis in Social Media Data
  • Leveraging Machine Learning in Healthcare: Predictive Methodology for Early Disease Detection
  • Exploring Innovative Approaches to Data Analysis in the Era of Big Data and IoT
  • Secure Data Transmission in Cloud Environments: A Novel Perspective on Network Security
  • Developing Robust Machine Learning Models for Anomaly Detection in Cybersecurity
  • Advancements in Natural Language Processing for Multilingual Chatbot Development
  • Integrating Machine Learning and Virtual Reality for Enhanced Training Simulations in Complex Environments

Latest And Trending Research Topics In Cloud Computing 

  • Serverless Computing Architectures: Efficiency and Scalability in the Cloud
  • Edge Computing in 5G Networks: Enhancing Latency and Bandwidth
  • Federated Learning in Cloud Environments: Privacy-Preserving Machine Learning
  • Containerization Technologies for Portable and Scalable Cloud Applications
  • Energy-Efficient Data Centers: Green Computing in Cloud Infrastructure
  • Cloud-Native Security: Threats, Challenges, and Mitigation Strategies
  • Multi-Cloud and Hybrid Cloud Strategies for Flexible and Resilient Systems
  • Blockchain Integration in Cloud Computing: Decentralized Trust and Security

List Of Few Latest And Trending Research Topics In Big Data 

  • Real-Time Big Data Analytics: Challenges and Solutions
  • Explainable AI for Interpretable Insights from Big Data Models
  • Federated Learning in Big Data Environments: Privacy and Collaboration
  • Graph Databases and Analytics: Unveiling Patterns in Complex Networks
  • Big Data in Healthcare: Predictive Analytics for Disease Prevention
  • Streaming Data Processing in the Era of the Internet of Things (IoT)
  • Big Data Governance: Ensuring Quality, Security, and Compliance
  • Ethical Considerations in Big Data Research and Decision-Making

Latest Topics for Pursuing Research in Technology and Computer Science

  • Emerging Trends in Edge Computing: Challenges and Opportunities
  • Robotic Process Automation for Streamlining Business Operations
  • Cross-disciplinary Applications of Artificial Intelligence in Healthcare
  • Sustainable Computing: Green Technologies for Energy-Efficient Systems
  • Cyber-Physical Systems Security in the Era of Industry 4.0
  • Advancements in Natural Language Processing for Human-Machine Communication
  • Quantum Machine Learning: Harnessing the Power of Quantum Computing
  • Ethical Considerations in the Development and Deployment of Autonomous Systems

Computer Science Thesis Topics/Ideas: Algorithms & Data Structures

  • Optimal Data Structures for Efficient Graph Traversal in Social Networks
  • Parallel Algorithms for High-Performance Sorting on Modern Multicore Processors
  • Dynamic Memory Management in Real-Time Systems: A Comparative Analysis
  • Adaptive Hashing Techniques for Fast Data Retrieval in Large Databases
  • Data Compression Algorithms for Enhancing Storage Efficiency in Cloud Computing
  • Blockchain Data Structures: Exploring Novel Approaches for Distributed Ledgers
  • Graph Partitioning Algorithms for Load Balancing in Distributed Computing Systems
  • Memory-Efficient Data Structures for Big Data Analytics in Streaming Platforms

Computer Science Thesis Topics in Internet of Things (IOT)

  • Secure and Efficient Key Management Protocols for IoT Devices
  • Edge Computing in IoT: Optimizing Latency and Bandwidth Usage
  • Machine Learning-Based Anomaly Detection for IoT Security
  • Energy-Efficient Communication Protocols for IoT Networks
  • Blockchain Technology for Ensuring Trust and Integrity in IoT Data
  • Privacy-Preserving Techniques for Personal Data in IoT Applications
  • Integration of IoT and Fog Computing for Real-Time Data Processing
  • Scalable and Robust Architectures for Large-Scale IoT Deployments

List Of Few Latest And Trending Research Topics In Manet 

  • Cross-layer optimization for Improved Performance in Mobile Ad Hoc Networks (MANETs)
  • Energy-Efficient Routing Protocols for Resource-Constrained MANET Devices
  • Security Challenges and Solutions in MANETs: A Comprehensive Study
  • Mobility Management and Handover Optimization in MANETs
  • Artificial Intelligence-Based Intrusion Detection Systems for MANET Security
  • Quality of Service (QoS) Enhancement in MANETs for Multimedia Applications
  • Dynamic Spectrum Access and Cognitive Radio in MANETs for Spectrum Efficiency
  • Internet of Things (IoT) Integration with MANETs for Smart and Connected Environments

💡 Technologies & Computer Science: Research Ideas

  • Explainable Artificial Intelligence: Bridging the Gap Between Accuracy and Interpretability
  • Robotic Swarm Intelligence for Collaborative Problem Solving
  • Federated Learning Approaches for Privacy-Preserving Machine Learning
  • Cyber-Physical Systems and their Impact on Smart Cities
  • Augmented Reality Applications in Education: Enhancing Learning Experiences
  • Human-Robot Interaction in Social and Service Settings
  • Blockchain Technology for Decentralized Identity Management
  • Sustainable Computing Practices: Green IT Solutions for Environmental Conservation

List Of Few Latest And Trending Research Topics In Image Processing 

  • Deep Learning Approaches for Image Super-Resolution
  • Multi-modal Image Fusion Techniques for Enhanced Visual Perception
  • Explainable AI for Image Classification: Interpretable Models and Feature Attribution
  • Generative Adversarial Networks (GANs) for Style Transfer in Images
  • Medical Image Analysis using Convolutional Neural Networks (CNNs)
  • Content-Based Image Retrieval using Semantic Embeddings
  • Real-time Object Detection and Recognition in Video Streams
  • Image Forgery Detection and Forensics: Advances in Manipulation Detection

Computer Science ThesisTopics & Ideas: Human-Computer Interaction

  • User-Centric Design of Virtual Reality Interfaces for Enhanced User Experience
  • Accessibility in Human-Computer Interaction: Inclusive Design for Diverse User Needs
  • Emotional Intelligence in Human-Computer Interaction: Designing Empathetic Systems
  • Gesture Recognition Interfaces for Intuitive Human-Machine Interaction
  • Cognitive Load and Usability: Evaluating the Impact on User Performance
  • Natural Language Interfaces for Smart Homes: Enhancing User Interaction
  • Gamification in User Interfaces: Motivating User Engagement and Productivity
  • Usability Testing and User Experience Evaluation in Mobile Application Design

Computer Science ThesisTopics & Ideas: Software Engineering

  • Continuous Integration and Deployment in Agile Software Development
  • DevOps Practices and their Impact on Software Quality and Deployment Speed
  • Software Maintenance and Evolution: Strategies for Legacy System Modernization
  • Model-Driven Development for Efficient Software Engineering Processes
  • Code Smells Detection and Refactoring Techniques in Software Projects
  • Security-Centric Software Development: Integrating Security from Inception
  • Test Automation in Software Testing: Frameworks and Best Practices
  • Software Architecture Patterns for Scalable and Maintainable Systems

Computer Science Thesis Topics & Ideas: Artificial Intelligence (AI)

  • Explainable AI: Interpretable Models for Transparent Decision-Making
  • Transfer Learning in Deep Neural Networks for Improved Generalization
  • Reinforcement Learning in Robotics: Adaptive Control and Policy Optimization
  • Natural Language Generation: Generating Human-Like Text with AI
  • AI for Healthcare: Predictive Modeling and Decision Support Systems
  • Meta-Learning Algorithms for Few-Shot Learning in AI Systems
  • Adversarial Machine Learning: Robustness and Security in AI Models
  • AI in Autonomous Vehicles: Perception, Planning, and Decision-Making

Computer Science Thesis Topics & Ideas: Data Warehousing

  • Scalable Architectures for Real-Time Data Warehousing
  • Data Integration and ETL Processes in Modern Data Warehousing
  • Cloud-Based Data Warehousing Solutions: Performance and Security Considerations
  • Data Quality Management in Data Warehousing Environments
  • Big Data Analytics and Machine Learning in Data Warehousing
  • Temporal Data Warehousing: Managing Time-Varying Data
  • Blockchain Technology in Data Warehousing for Enhanced Security
  • Data Warehousing for Business Intelligence: Trends and Future Directions

💾 Top 10 Computer Science Research Topics

  • Quantum Computing: Algorithms and Applications
  • Explainable Artificial Intelligence for Transparent Decision-Making
  • Edge Computing and its Impact on IoT Systems
  • Ethical Considerations in the Development of AI and Autonomous Systems
  • Cybersecurity in the Age of Advanced Persistent Threats
  • Human Augmentation Technologies: Challenges and Opportunities
  • Sustainable Computing Practices for Green IT Solutions
  • Blockchain Beyond Cryptocurrencies: Diverse Applications and Challenges
  • Cross-disciplinary Approaches to Healthcare Informatics
  • Social Computing: Understanding and Addressing Online Misinformation

Computer Science Thesis Topics List

  • Cognitive Computing Applications: Enhancing Human-Machine Interaction
  • Software Defined Networking: Innovations in Network Architecture
  • Adaptive Cybersecurity Strategies: Dynamic Approaches to Threat Mitigation
  • Cross-Platform Mobile App Development: Frameworks and Best Practices
  • Integrating Blockchain Technology into Supply Chain Management
  • Cloud-Native Application Development and Microservices Architecture
  • Quantum Computing Algorithms for Optimization Problems
  • Human-Computer Interaction in Augmented Reality Environments

Computer Science Master Thesis Topics

  • Deep Reinforcement Learning for Autonomous Systems Navigation
  • Privacy-Preserving Machine Learning in Decentralized Environments
  • Cyber-Physical Systems Security: Threat Modeling and Mitigation
  • Cloud-Native Microservices Architecture: Design and Optimization
  • Explainable AI in Healthcare: Interpretability of Predictive Models
  • Cutting-edge techniques in Computer Vision for Object Recognition
  • Blockchain-Based Solutions for Securing Internet of Things (IoT) Devices
  • Autonomous Systems and Reinforcement Learning for Dynamic Path Planning

Computer Science Thesis Topics For Undergraduate

  • Design and Implementation of a Web-Based E-commerce Platform
  • Development of a Mobile Application for Health and Fitness Tracking
  • Analysis and Optimization of Sorting Algorithms for Efficiency
  • Building a Simple Operating System Kernel for Educational Purposes
  • Cybersecurity Awareness and Education: A Gamified Approach for Users
  • Explainable Artificial Intelligence: Bridging the Gap Between Model Complexity and Interpretability
  • Advanced Cryptographic Protocols for Privacy-Preserving Data Sharing

Master Thesis Topics In Computer Science

  • Quantum Machine Learning Algorithms: Theory and Applications
  • Augmented Reality in Education: Enhancing Learning Experiences
  • Secure Multi-Party Computation for Privacy-Preserving Data Analysis
  • Natural Language Processing for Code Summarization in Software Engineering
  • Blockchain-based Solutions for Supply Chain Transparency and Security

Master’s Degree Thesis Topics Computer Science

  • Efficient Parallel Processing Techniques for Big Data Analytics
  • Human-Robot Interaction in Collaborative Manufacturing Environments
  • Privacy-Preserving Machine Learning in Cloud Computing Environments
  • Adaptive Security Measures for Internet of Things (IoT) Networks
  • Application of Reinforcement Learning in Autonomous Vehicles: Challenges and Solutions

Ph.D. Thesis Topics In Computer Science

  • Unsupervised Learning Approaches for Discovering Complex Patterns in Big Data
  • Ethical Considerations in Artificial Intelligence: Developing Responsible AI Systems
  • Cyber-Physical Systems Security: Advanced Threat Detection and Mitigation
  • Quantum Computing Algorithms: Design and Analysis for Real-World Applications
  • Integrating Blockchain Technology into Decentralized Autonomous Organizations (DAOs)

Thesis In Computer Science Topics

  • Dynamic Resource Allocation in Cloud Computing Environments
  • Enhancing Cybersecurity Posture Through Threat Intelligence Integration
  • Natural Language Processing for Sentiment Analysis in Social Media Data
  • Mobile Application Security: Vulnerability Assessment and Mitigation
  • Graph-Based Machine Learning Algorithms for Network Anomaly Detection

Thesis Topics For Computer Science

  • Blockchain Technology and Smart Contracts: Security and Applications
  • Human-Computer Interaction in Virtual Reality Environments
  • Deep Learning for Image Captioning: Algorithms and Evaluation
  • Scalable and Fault-Tolerant Distributed Systems: Design and Implementation
  • Data Privacy in the Era of Big Data: Challenges and Solutions

Thesis Topics For Masters In Computer Science

  • Explainable Artificial Intelligence: Interpretability and Accountability
  • Cross-Platform Mobile Application Development: Frameworks and Best Practices
  • Network Function Virtualization: Architecture and Performance Optimization
  • Machine Learning for Cybersecurity: Threat Detection and Response
  • Integration of Blockchain Technology in Healthcare Information Systems

 Undergraduate Thesis Topics For Computer Science

  • Design and Implementation of a Web-Based Student Information System
  • Comparative Analysis of Sorting Algorithms for Time Complexity
  • Development of a Simple Operating System Kernel for Educational Purposes
  • Building a Multiplayer Online Game: Networking and Security Considerations
  • Cybersecurity Awareness and Education: A User-Centric Approach

MSc Computer Science Thesis Topics List

  • Machine Learning Approaches for Fraud Detection in Financial Transactions
  • Internet of Things (IoT) Analytics: Processing and Analyzing Sensor Data
  • Explainable AI in Healthcare: Interpretable Models for Clinical Decision Support
  • Graph Databases and Analytics for Social Network Analysis
  • Quantum Computing Algorithms: Implementations and Applications
  • Blockchain-Based Solutions for Supply Chain Traceability and Transparency
  • Adaptive User Interfaces for Personalized E-Learning Experiences

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What is the best thesis for computer science?

The best thesis for computer science depends on your specific interests and goals. Consider areas like artificial intelligence, cybersecurity, or data science for a well-rounded choice.

Which topic is best for research in computer science?

The best research topic in computer science varies based on your preferences and expertise. Explore emerging fields like quantum computing, machine learning, or blockchain for innovative and impactful research.

How do I choose a research topic for Masters in computer science?

When choosing a research topic for a Master’s in computer science, focus on your passion and the latest trends in the field. Identify a topic that aligns with your career goals and offers opportunities for exploration and contribution.

Which topic is best for PhD in computer science?

Selecting the best topic for a Ph.D. in computer science involves finding a niche where you can make a significant contribution. Consider areas like artificial intelligence, big data, or cybersecurity, with room for groundbreaking research and advancements.

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CS Bachelor Thesis and Seminar

  • Module: Bachelor Thesis and Seminar Computer Science (CA-CS-800)
  • Semester: Spring 2024
  • Instructor: Peter Baumann
  • Instructor: Andreas Birk
  • Instructor: Mathias Bode
  • Instructor: Francesco Maurelli
  • Instructor: Dmitry Kropotov
  • Instructor: Jürgen Schönwälder
  • Instructor: Jakob Suchan
  • Instructor: Suhail Yousaf
  • Prerequisites: 30 CP of advanced modules earned, at least 20 CP from modules in the major

We expect that our students take the initiative and drive the process. How self-organized students work is part of the assessment. In terms of effort, please note that 1 CP equals ~25 hours, i.e., the module has an average workload of 375 hours.

Doing research in computer science usually starts with a lot of reading and learning. In order to do research that is significant, it is crucial to pick a tractable topic and it is essential to understand the state of the art as well as any algorithms and tools that are relevant. While the details differ depending on the area of computer science, reading about the state of the art is essential for all of them. To find relevant literature, it is good to be aware of systems such as:

  • ACM Digital Library (digital library provided by the ACM)
  • IEEE Xplore (digital library provided by the IEEE)
  • IFIP Digital Library (digital library provided by the IFIP)
  • Scopus (commercial research publication indexing system)
  • dblp (open computer science publication indexing system)
  • Semantic Scholar (academic search engine by the Allen Institute of AI)

The first phase is essentially a deep dive into the state of the art of your topic. During this phase, you should pick up and deepen the necessary knowledge, you should develop a good understanding of the state of the art, and you should get familiar with any programs or tools or datasets that are essential for carrying out a little research project during the bachelor thesis course.

LaTeX is widely used as the typesetting system for research papers in computer science. Hence, we expect that project and thesis reports are written in LaTeX. Below are some LaTeX templates that you are expected to use for typesetting the project report and later the thesis. Please do not change or improve the format, it is usually far better to spend your brain cycles on the content instead of the format (and we really appreciate a common format).

  • BSc Template (LaTeX)
  • BSc Template (BibTeX)
  • BSc Logo (png)
  • BSc Plot (pdf)
  • BSc Plot (gnuplot)
  • BSc Template (pdf)

Reading Material

  • Justin Zobel: Writing for Computer Science, Springer, 3rd edition, 2015
  • Writing a Bachelor Thesis in Computer Science
  • Repeatability in computer systems research
  • Benchmarking Crimes: An Emerging Threat in Systems Security

Listening Material

  • YouTube: The Craft of Writing Effectively
  • YouTube: How To Speak by Patrick Winston

Research Groups and Topics

The following links are pointers to some of the research groups providing thesis topics. You will find the topics on the respective research group pages.

  • Large-Scale Scientific Information Systems (Peter Baumann)
  • Robotics (Andreas Birk)
  • Marine Systems and Robotics (Francesco Maurelli)
  • Computer Networks and Distributed Systems (Jürgen Schönwälder)

Bachelor Thesis

Experience has shown that it is crucial to start work on the bachelor thesis topic as soon as possible. It may be very useful to use time during the intersession, in particular if still a number of credits need to be earned during the last semester. Starting work on the bachelor thesis end of April clearly is too late to achieve good results and in particular to deal with any unforseen problems.

The bachelor thesis should have (according to the handbook) a length of approx. 6000-8000 words excluding front and back matter. It must be submitted electronically via Moodle and will go through Turnitin (a plagiarism checker). The submission deadline is a hard deadline. Failure to submit the thesis in time will lead to an incomplete course grade or to a fail. Faculty will ensure that a bachelor thesis submitted by the deadline will be graded by the grade submission deadline for graduating students. Note that faculty availability for thesis supervision during the summer break may be limited.

The grade of the bachelor thesis will be determined using the following criteria:

Technical Work (weight 60%)

  • understanding of the subject
  • technical correctness
  • completeness (topic fully addressed)
  • originality and independence
  • work organization (sustained work pace, regular progress reporting)

Writing and Thesis (weight 40%)

  • proper and concise abstract
  • "research" questions clearly formulated and motivated
  • survey of the state of the art
  • clear methodology (e.g., experiment design, algorithm design…)
  • presentation and interpretation of results
  • reflection about limitations of the work
  • proper references and citations
  • proper scientific writing

Bachelor Thesis Seminar

The Bachelor Thesis Seminar includes the final thesis presentations. The presentations are 15 minutes + 5 minutes discussion. The schedule has 20 minutes for each presentation, hence it is important to be efficient with changing laptops (make sure you have tested all necessary equipment before the actual presentation time). We have scheduled breaks to recover our minds and to makeup any schedule quirks should they arise (we hope not). Presentations are graded using the following criteria:

  • clarity of the slides
  • clarity of the presentation
  • motivation and flow of the presentation
  • technical clarity (proper use of notations etc., demo where feasible)
  • technical contribution and originality
  • time management
  • answers to questions

Time slots are assigned on a first-come-first-served basis.


Thesis Topics for Computer Science Students is the need for many scholars today due to the fluctuating mind of young scholars. Few scholars may have worked in networking up to their undergraduate and then switched on to cloud computing in the Master degree. It is not the fault of the scholars, we have fluctuating mind and we work according to the latest trends and topics. During the last few years, cloud computing is at the peak due to its latest technologies like hadoop and mapreduce.


Scholars may feel it attracted to take up a thesis topic in cloud computing. But we advice our scholars to select their field and keep track on it. Even if you have selected networking, it has various recent works which can be taken up as a research. For computer science students, there are nearly 70 different domains. Among each domain, we have plenty of topics and sub topics to be worked on. Computer science is a vast domain due to its application in every other field. So scholars have wide option to choose their topic of interest.

We have complete updation of every domain under computer science. But we follow certain steps to select a Thesis Topics for Computer Science Students . A good beginning is the half success. It is said by many great people, so if we take up a correct topic, we will end up with correct result. To take up a topic, we consider the following factors:

Interest of the researcher and his domain specialization

This is the first step towards topic selection as knowing the scholars Interest, passion and knowledge is important. Scholars must understand their domain of specialization which will be helpful for them throughout their life. If scholars have no idea about domain, we will guide them to choose their area of interest.


Exclusivity of topic to make the research unique.

Based on the domain knowledge and interest, we help scholars to choose their topic. We will select the best topic which will give a unique identification to your research.

Scope of exploring the topic and conducting original research

Scrutinizing and analyzing the complete domain Identify the problem statement and create a novel idea.

It is not an easy task to scrutinize the topic under any domain. Also It is our knowledge and experience which makes us to find a novel idea and topic. For example, if we take networking, finding a topic in such a wide domain is difficult; we narrow it down according to the latest trend like IPv6 security attacks. Again we work on this sub domain and find a novel idea as we are aware of every novel idea registered up to date. Our immense knowledge makes us to create original research.

Viability of covering the topic within specified time

Topic selection must also ensure the time it requires for complete research. Topics must also selected in such a way that it must be finished within the specified time limit.

Approximate cost for the research topic

Based on the topic, we can also identify the estimated cost for overall research. Generally, if we choose a topic in Pervasive computing, it always cost little high ten other domain due to the use of devices like sensors, cameras etc. So, we also suggest our scholar the approximate cost based on the topic. If sometimes, scholars wish to work in low budget but select domains like pervasive computing, we also help them to choose the topic with optimum cost. We also consider cost as a factor while selecting a topic.


We also give complete focus on thesis topic selection as we believe that one should be ingenious from the very beginning. A scholar must select a topic correctly as they are the one who is going to face their internal guides and also external reviewers. Scholars dedication and interest is the prime factor to take up a research topic. It is a free guidance which we also support for our scholars. Our team of experts will assist the scholars to choose the most recent and apt topic for their research. Our advisers are also abreast of the current developments and trends in the field of research who can guide you the best. We also advice our scholars to take up a right decision as it is the right time to approach us.

Thesis-Topics-for Computer-Science Students can be the need of the students But we feel it as our service for our students……………

Thesis-topics for computer-science-students.

We also have enormous Thesis Topics for Computer Science Students to work upon. We work on the following domains:

Image processing Data Mining Cloud computing Networking Routing Network Security Service Computing [ Web Service ] Social Sensor Networks Software Defined Networking Software Re-Engineering Telecommunication Engineering Text Mining Pixel per inch Ad hoc network Vehicular Ad hoc Network Video Streaming Visual Cryptography Wireless Body Area Network Wire-less[Wireless Networks ] Wireless Sensor Networks Multimedia Natural Language Processing Audio, Speech, And also Language Processing Brain Computer Interface Dependable And also Secure Computing Information Forensics And Security Internet Computing Learning Technologies Systems And Cybernetics Context aware Computing Soft Computing Mobile Cloud Computing

We also cannot confine our domain list and knowledge in this short page. Also, We wish our scholars to approach us to know about our knowledge and experience in each domain. We have a list of sub domains under each domain which in turns contain list of topics. Like this we also cover every aspect of computer science. So scholars can also blindly approach us to get their thesis topics from us.


Related search terms.

 latest thesis topics in computer science, phd thesis topics in computer science, topic for thesis in computer science, topics for thesis in computer science

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    About Module: Bachelor Thesis and Seminar Computer Science (CA-CS-800) Semester: Spring 2024 Instructor: Peter Baumann Instructor: Andreas Birk Instructor: Mathias Bode Instructor: Francesco Maurelli Instructor: Dmitry Kropotov Instructor: Jürgen Schönwälder Instructor: Jakob Suchan Instructor: Suhail Yousaf Prerequisites: 30 CP of advanced modules earned, at least 20 CP from modules in the ...


    THESIS TOPICS FOR. COMPUTER SCIENCE STUDENTS. Thesis Topics for Computer Science Students is the need for many scholars today due to the fluctuating mind of young scholars. Few scholars may have worked in networking up to their undergraduate and then switched on to cloud computing in the Master degree. It is not the fault of the scholars, we ...