phd in information and communication engineering

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Information and Communication Systems PhD

Key information, full-time - 4 years, part-time - 8 years.

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Why choose this programme

The University of Surrey’s  Institute for Communication Systems  (ICS), home of the 5G/6G Innovation Centre (5G/6GIC), is the one of the UK’s major academic research centres specialising in information and communications technology. You’ll be taught by leading experts in the field, become part of our thriving community of academics, researchers and PhD students, and gain excellent employment prospects.

We’re specialists in mobile and wireless technologies, including satellite communications and networks, internet of things, cyber security, and future network architectures and protocols. As home to the 5G/6GIC, we’re recognised as world leaders in end-to-end research and practical implementation for 5G/6G mobile communications and beyond.

Our strong track record in research includes high-quality publications, patents and world-class implementations. We’re heavily involved in collaborative research across the UK, Europe, Asia and the Americas, funded by governments and industry. Our PhD graduates secure good positions across industry and academia in the UK and worldwide.

Shanghai Ranking’s Academic Ranking of World Universities (ARWU) 2023 ranked our telecommunication engineering subjects as 51-75 best in the world.

Frequently asked questions about doing a PhD

What you will study

It normally takes three to four years of full-time study to complete this PhD. Your research can be based on a topic of your choice, or may be dictated by industry sponsorship or government funding.

You’ll be assigned two supervisors, who’ll guide you through your studies. Your supervisors will give you direction and experience of the cutting-edge technologies in their areas of expertise. They’ll also give you the support you need to complete your PhD, from giving you guidance and feedback on your work to helping you frame your research proposal. Though you’ll primarily be in contact with your two supervisors, you’ll also work with other staff within ICS and you may have the opportunity to become a team member on research projects.

You’ll be required to write a confirmation report on your research in your first year, and you will be examined by two examiners.

Your final assessment will be based on the presentation of your research in a written thesis, which will be discussed in a viva examination with at least two examiners. You have the option of preparing your thesis as a monograph (one large volume in chapter form) or in publication format (including chapters written for publication), subject to the approval of your supervisors.

Research support

The professional development of postgraduate researchers is supported by the Doctoral College , which provides training in essential skills through its Researcher Development Programme of workshops, mentoring and coaching. A dedicated postgraduate careers and employability team will help you prepare for a successful career after the completion of your PhD.

Research themes

We research areas related to information and communication technology, including end-to-end terrestrial, mobile and satellite communications and networks, and their application to verticals such as connected vehicles and health, including:

• 5G-Advanced and 6G
• Integrated satellite and terrestrial 5G and 6G
• Artificial intelligence networking and wireless communications
• Reflective and transmissive intelligent surfaces
• THz communications and components
• Positioning and image sensing
• High-quality time and frequency transmission
• Teleportation
• Connected transportation 
• Ultra-Massive MIMO
• Terabits-per-second communications
• Internet of senses
• Network and physical layer security
• Intelligent and high-performance networking and service delivery
• MAC, RRM and RAN management
• Theory and practice of advanced concepts in wireless communications
• Antennas and signal processing.

Our academic staff

See a full list of all our  academic staff  within the Institute for Communication Systems.

Research centres and groups

Research facilities.

You’ll be allocated space in ICS, which is home to 143 researchers. ICS is one of the world’s major academic research centres dedicated to mobile and wireless communications. You’ll have access to state-of-the-art facilities such as:

• Campus-wide 5G/6G testbed
• Antennas and signal processing
• Networks lab testbed
• Link and system level simulators
• Satellite networking testbed
• Security testbed
• Wireless network testbed
• Internet of things testbed.

Melika Emami

Having an experienced supervisor in my research area has been invaluable to me throughout my PhD journey... their unwavering support and encouragement have significantly boosted my self-confidence, especially in times when I needed it the most.

Ryan Fernandez

I knew Surrey would be a good place to do a PhD as the Institute for Communication Systems is a world-leading research centre with an outstanding reputation.

Entry requirements

Applicants are expected to hold a first or upper second-class (2:1) UK degree in a relevant discipline (or equivalent overseas qualification), or a lower-second (2:2) UK degree plus a good UK masters degree - distinction normally required (or equivalent overseas qualification).

International entry requirements by country

English language requirements.

IELTS Academic: 6.5 or above (or equivalent) with 6.0 in each individual category.

These are the English language qualifications and levels that we can accept. 

If you do not currently meet the level required for your programme, we offer intensive pre-sessional English language courses , designed to take you to the level of English ability and skill required for your studies here.

Application requirements

Applicants are advised to contact potential supervisors before they submit an application via the website. Please refer to section two of our  application guidance .

After registration

Students are initially registered for a PhD with probationary status and, subject to satisfactory progress, subsequently confirmed as having PhD status.

Selection process

Selection is based on applicants:

• Meeting the expected entry requirements
• Being shortlisted through the application screening process
• Completing a successful interview
• Providing suitable references.

Student life

At Surrey we offer the best of both worlds – a friendly campus university, set in beautiful countryside with the convenience and social life of Guildford on your doorstep.

Start date: July 2024

Start date: October 2024

Start date: January 2025

Start date: April 2025

• Annual fees will increase by 4% for each year of study, rounded up to the nearest £100 (subject to legal requirements).
• Any start date other than September will attract a pro-rata fee for that year of entry (75 per cent for January, 50 per cent for April and 25 per cent for July).

View the list of fees for all postgraduate research courses.

Additional costs

There are additional costs that you can expect to incur when studying at Surrey.

A Postgraduate Doctoral Loan can help with course fees and living costs while you study a postgraduate doctoral course.

Apply online

If you are applying for a studentship to work on a particular project, please provide details of the project instead of a research proposal.

Read our application guidance for further information on applying.

To apply online first select the course you'd like to apply for then log in.

1. Select your course

Select the course you wish to apply for.

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Code of practice for research degrees

Surrey’s postgraduate research code of practice sets out the University's policy and procedural framework relating to research degrees. The code defines a set of standard procedures and specific responsibilities covering the academic supervision, administration and assessment of research degrees for all faculties within the University.

Download the code of practice for research degrees (PDF) .

Terms and conditions

When you accept an offer to study at the University of Surrey, you are agreeing to follow our policies and procedures , student regulations , and terms and conditions .

We provide these terms and conditions in two stages:

• First when we make an offer.
• Second when students accept their offer and register to study with us (registration terms and conditions will vary depending on your course and academic year).

View our generic registration terms and conditions (PDF) for the 2023/24 academic year, as a guide on what to expect.

This online prospectus has been published in advance of the academic year to which it applies.

Whilst we have done everything possible to ensure this information is accurate, some changes may happen between publishing and the start of the course.

It is important to check this website for any updates before you apply for a course with us. Read our full disclaimer .

Course location and contact details

Campus location

Stag Hill is the University's main campus and where the majority of our courses are taught. 

University of Surrey Admissions

University of Surrey Guildford Surrey GU2 7XH

Ph.D. in Information Systems and Communications

Acquire the interdisciplinary knowledge skills to become a scholar and leader in the critical nexus of information systems and communications., information systems and communications (isc) is a 3-year, executive-style ph.d. program designed to meet the needs of working professionals for leadership roles in information systems, technology, and communications fields, as well as of educators and researchers who wish to pursue positions in academia., program summary.

• Designed for working professionals
• Flexible: online + immersive on-campus residencies
• Complete your degree in 3 years
• Prepare for leadership roles in information systems and communications

BLENDED LEARNING FORMAT

The blended learning format features online and immersive on-campus residencies that allow for flexibility and high levels of engagement with faculty and other students in the program. this learning format gives the freedom to complete the majority of course requirements from anywhere anytime., we’re ready when you’re ready. request additional information:.

Let us know and we can share some more details about our degree programs and other majors and study options at RMU.

Call us at: 412-397-5200

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UCL Department of Electronic and Electrical Engineering

Information and Communication Engineering

One of the five research groups of UCL's Electronic and Electrical Engineering department specialising in research focused on fundamental and practical aspects of communications systems and networks.

“ It is widely acknowledged that demand on communications systems and networks is expected to rise 100 fold in the next 5 years. The research group, given its past history and current strength, is well poised to continue making significant contributions to the field and training the future leaders in telecommunications and information engineering.

The Information and Communication Engineering (ICE) Research Group is motivated by the explosive growth in demand for increased network bandwidth and services. We address cutting-edge aspects of current and future technologies required to engineer the communications networks and information services that will support a data-driven society in both the near and long-term future.

The group is actively involved in the theoretical and practical aspects of communications systems and networks. This spans all aspects of communications and information systems from the fundamentals of data transmission and compression to physical-layer and network-layer research, as-well-as including network operations and management.

Increasingly work also includes the study of information engineering, optimal data-management and data-acquisition to maximise user experiences through tools such as Machine-Learning (ML) and other Artificial-Intelligence (AI).

State-of-the-art laboratory facilities offer a unique and unparalleled capability to complement fundamental research with prototype development and testing.

Track record

The research group exhibits a strong track-record of collaboration with some of the most prominent academic institutions worldwide as well as national and international industry, including network operators and service providers (e.g. BT, Vodafone, Orange) and equipment designers and manufacturers (e.g. Nokia, Siemens, Selex, Aeroflex). The research group also exhibits a strong track-record in attracting funding from various competitive sources both at National, European and International level.

Academics, who currently lead their respective fields, are actively engaged in research as well as consultancy, policy and standardization activities. Researchers and students experience a unique vibrant and stimulating environment to grow in their fields, that paves their way to a very successful career in academia or industry.

Institute of Communications and Connected Systems

The ICE research group are founding members of the UCL Institute of Communications and Connected Systems (ICCS). ICCS brings together world-leading academic experts and state-of-the-art facilities from across UCL that work in the broad profile of connected Systems, from technical to social studies, development and innovation. ICCS is advancing the future technologies of a connected world penetrating every area of the communications network and interacts with a diverse range of application areas. Key to the work of ICCS is engaging with industry and the engineers of the future to develop this dynamic field of research.

Visit the ICCS website

Group Members

• Prof Izzat Darwazeh (Head of Group)
• Prof Ioannis Andreopoulos
• Dr Ilija Bogunovic
• Dr Anna Maria Mandalari
• Prof Christos Masouros
• Prof John Mitchell
• Prof George Pavlou
• Prof Miguel Rio
• Prof Miguel Rodrigues
• Dr Laura Toni
• Prof Kit Wong

Visiting Academics

• Prof Andy Valdar Visiting Professor
• Prof Sir John O'Reilly  Visiting Professor
• Dr Joe Attard Honorary Senior Lecturer
• Mr Keith Carrington Honorary Lecturer
• Mr Mehmet Ilgaz Honorary Research Associate
• Dr Richard Clegg Honorary Research Associate

Research Themes

Research in this area covers a range of applications to communications systems. Examples range from high-speed circuits for next-generation optical systems, to system demonstrations and validation test-beds for wireless sensor networks.

Further information on this Research Theme can be provided by Professor Izzat Darwazeh .

This research theme studies the fundamental principles of information compression, transmission and processing by leveraging tools from information theory, communications theory and machine learning.

Research in this theme includes:

1. Foundations of Information Compression, Transmission, and Security

This work is unveiling the fundamental limits of data transmission and security in current and upcoming communications systems.

Work of the group and its collaborators have contributed to the information-theoretic characterisation of such limits as well as to information-theoretic inspired transceiver designs that achieve such limits [Pérez-Cruz,2010; Rodrigues,2013; Ramos,2013].

Further research from the group has contributed to the foundations and applications of information-theoretic and physical-layer security [Bloch,2008; Reboredo,2013] – this contribution was honoured with the IEEE Information Theory and Communications Societies Joint Paper Award 2011.

2. Foundations and Applications of Compressive Information Processing

Research in this area focuses on the foundations and applications of compressive information processing for future information processing systems.

The group's work has contributed to an information-theoretic inspired kernel design for reconstruction and classification applications [Carson,2012; Chen,2012; Chen,2013; Wang,2013], the foundations of compressive classification [Reboredo,2013] and reconstruction [Renna,2013].

This foundational work in compressive information processing has also been complemented by practical-oriented work in various emerging applications ranging from compressive signal and image processing [Carson,2012; Chen,2012; Renna,2013] to compressive topic modelling [Wang,2013].

This line of research is being funded in part by a Royal Society International Exchange Scheme involving both UCL and Duke University in the USA.

3. Emergent Applications: Unlocking Energy Neutrality in Energy Harvesting Wireless Sensor Networks

Capitalising on compressive sensing and distributed compressive sensing this research looks to unlock energy neutrality in energy harvesting wireless sensor networks [Chen,2013].

It is widely recognized that future deployments of wireless sensor networks infrastructures are expected to be equipped with energy harvesters to substantially increase their autonomy and lifetime.

However, it is also recognized that the existing gap between the sensors’ energy harvesting supply and the sensors’ energy demand is not likely to close in the near future due to limitations in current energy harvesting technology, together with the surge in demand for more data-intensive applications.

With the continuous improvement of energy efficiency representing a major drive in wireless sensor networks research, the major objective of this work is to develop transformative sensing mechanisms, which can be used in conjunction with current or upcoming energy harvesting capabilities, in order to enable the deployment of energy neutral wireless sensor networks with data gathering rates that are substantially higher than the current state-of-the-art.

Members of the group envision a typical (centralised) wireless sensor network architecture where a set of sensor nodes periodically convey data to one or more base stations; in addition, the sensor nodes would be active during a certain period to capture and transmit data and inactive during the remaining period of time to harvest energy from the environment.

By leveraging the emerging paradigms of compressive sensing and distributed compressive sensing as well as energy- and information-optimal data acquisition and transmission protocols [Buranapanichkit,2012; Vittorioso,2012], it will be possible to tightly couple energy demand to the energy supply in wireless sensor networks in order to achieve the proposed breakthroughs [Chen,2013].

This work is being funded by the Engineering and Physical Sciences Research Council, involving both UCL, the University of Cambridge and various industrial partners.

4. Machine learning for analysis and optimization of video representations

Video has been one of the most pervasive forms of online media for some time. Several statistics show that video traffic will dominate IP networks within the next five years. Yet, video remains one of the least-manageable elements of the big data ecosystem. We believe that this difficulty stems primarily from the fact that all advanced computer vision and machine learning algorithms view video as a stream of frames of picture elements. This is despite the fact that pixel-domain representations are known to be notoriously difficult to manage in machine learning systems, mainly due to: their high volume, high redundancy between successive frames, and artifacts stemming from camera calibration under varying illumination. 

In our work, we focus on video representations that go beyond conventional pixel streams and consider spatio-temporal activity information that is directly extractable from compressed video bitstreams or neuromorphic vision sensing (NVS) hardware. In order to understand and optimize video representations, we design deep neural networks (DNNs) that ingest such activity information in order to derive state-of-the-art classification, action recognition and retrieval results within large video datasets. Our recent results have shown that this can be achieved at record-breaking speed and comparable accuracy to the best DNN designs that utilize pixel-domain video representations and/or optical flow calculations. These results can enable for the first time the continuous parsing of large compressed video content libraries and NVS repositories with new & improved versions of crawlers in order to derive continuously-improved semantics or track changes and new content elements, in a manner similar to how search engine bots continuously crawl web content. These outcomes will pave the way for exabyte-scale video datasets to be newly-discovered and analysed over commodity hardware. This work is funded by EPSRC, projects EP/R025290/1, EP/P02243X/1, and is carried out in collaboration with King’s College London, Queen Mary University of London, and Kingston University. 

5. Graph signal processing for machine learning

We are surrounded by large-scale interconnected systems, from the Internet to the power grid and social networks. While essential, the management of such networked systems is exceedingly hard mainly because of their intrinsic and constantly growing complexity. Currently available controlling strategies provide suboptimal solutions. Hence, the need for novel methods able to deal with this complexity. Answering to this need is the ambitious goal of our research, that blends together reinforcement learning and graph signal processing. In our group, we focus on developing fundamental learning methodologies targeting data-efficiency in large-scale problems. Theoretically, we tackle the following topics: Graph-Based Bandit Problems and Structural Reinforcement Learning. Some example of use cases of our research are the following: 

• Influence maximization: to minimize advertisement costs while optimizing the evolution of interest over social networks. This is possible by learning how information spreads within social networks to optimally place advertisements/ source information. 
• Traffic prediction: to anticipate the cascade effect of train delays or traffic congestion, modelling the traffic as process evolving over a graph. 
• Detection of malicious behaviours: to identify malicious behaviours among people, modelling social interactions among people on the network as signal evolving on graphs.
• This work is carried out in collaboration with EPFL (Switzerland), Oxford University, and Imperial College.

This research theme develops and analyses the latest communications approaches in the physical layer (PHY).

Current research in this area include:

Massive MIMO

One of the key PHY concepts examined for 5G deployment is that of large-system MIMO or recently known as massive MIMO where there are a large number of antennas at the transmitter and/or receiver.

Members of the group and collaborators have contributed to revealing the fundamental performance limits of a wide class of MIMO fading channels in the very low SNR regime under interference-limited environments [Zhong 2010; Jin 2010; Li 2010; Wen 2010].

Another important direction is to understand the performance of MIMO under practical settings in the presence of such as rank deficiency due to the phenomenon of keyholes. Several major contributions have been made in this regard [Zhong-Wong 2010; Zhong-Jin 2010; Jin 2008].

Finally, recent work has been looking at the performance impacts of deploying high numbers of antennas in fixed physical dimensions [Masouros 2013], along with practical linear and non-linear precoding schemes for large MIMO systems [Masouros-Sellathurai 2013],[Masouros-Sellathurai 2012], [Masouros 2011].

Of particular importance to this line of research, are solutions to address the hardware-efficiency in designing large scale MIMO Transceivers. The group has contributed in these areas with studies of the impact of hardware components [Garcia-Masouros 2016, Garcia 2016, Amadori-Masouros 2017], studies on hybrid analog-digital techniques [Amadori-Masouros 2016, Li-Masouros 2017, Amadori-Masouros 2017]

Increasingly, relaying has emerged as a revolutionary technique for cellular networks, particularly for improving the performance of users at the cell edges. Several significant contributions have been made in this area, not only for understanding the capacity of MIMO relaying channels but also the sum-rate of a multiuser MIMO channel [Jin-McKay 2010; Zhong-Jin-Wong 2010; Wen 2011; Wen-Wong 2010].

Cognitive Cooperative Communications

Future spectrum allocation as proposed by Ofcom and FCC is required to be dynamic, adaptive and self-organised, with a strong need for interference control and management within and across networks.

This breaks the rigid boundaries across networks and demands network coordination, giving rise to several fundamental challenges. In the context of primary-secondary link co-existence for cognitive radio, a number of interference-constrained transmission schemes have been introduced [Khan 2012], [Masouros-Ratnarajah 2012], [Ratnarajah 2013], [Masouros-Ratnarajah-Sellathurai 2013] for the cognitive downlink channel.

In addition, several significant contributions in the optimisation of using cooperative relays for beamforming and some in the context of cognitive radio technologies have been made [Huang 2012; Huang 2011; Zheng 2009; Zheng-Wong 2009; Zheng-Wong-Paulraj 2009].

Wireless Interference as Useful Signal Power

While interference has always been regarded as the main obstacle in wireless systems, recent work has revealed that, on an instantaneous basis, it can contribute constructively to the useful signal energy gleaned at the wireless receiver [Masouros-2011],[Masouros-Ratnarajah-Sellathurai 2013].

Read more about Wireless Interference as a Source of Green Signal Power

This important source of useful energy, is currently ignored by the techniques adopted in the communication standards. The existing work of Green Communications focuses on energy-efficient network planning, smart duty-cycled BSs, heterogeneous cell deployment, integration with renewable energy sources and use of ICT for energy saving, amongst others.

The radical approach of exploiting interference power promises a vast reduction in the power consumption of the network, without the cost of redesigning and redeploying network components as per the solutions above.

While the signal processing work on wireless communications to date has focused on cancelling or minimizing interference, this work focuses on allowing the utilization of signal power from constructive interference to achieve the required link performance with a much reduced actual transmit power.

Integrated Optical/Wireless Networks

Recent technological advances and deployments are creating a new landscape in the access networks, with an integration of wireless and fiber technologies a key supporting technology.

Our research work considers how the optical fibre access network can be best used to support the next generation of radio access networks. It considers front and back-haul networks, including how mm-wave wireless technologies can support 5G wireless (see IPHOBAC-NG).

The group have been involved in system demonstrations for mm-wave back-haul [Omomukuyo 2013] as well as architectures to support dynamic allocations of bandwidth [Milosaclievic 2012], [Attard 2006].

Optical Access Networks

Research in collaboration with BT investigated the deployment of long reach (100km), high aggregate bit rate (10Gbit/s) and high customer number (1024) optical access networks. These use advanced optical components currently only feasible in core networks to provide highly efficient optical access networks [Shea 2007].

The area of long-reach optical access networks is now gaining a great deal of attention [Shea & Mitchell 2007]. We have now extended this idea to consider how multiple short-reach PONs could be consolidated into a multi-wavelength long reach architecture. This was first demonstrated for 2.5Gbit/s PONs using Semiconductor Optical Amplifiers (SOAs) and cross-gain modulation(XGM) [Shea 2009] and has since been expended to 10Gbit/s PONs using an interferometric structure of SOAs and cross-phase modulation (XPM) in [Cao 2013].

As part of this work, collaborations with the UCL optical networks group considered the impact on the burst mode receiver requirement of such technologies [Mendinueta 2011a] and [Mendinueta 2011b].

At the core of the Internet resides the network layer. It’s the glue that connects the millions of networks together to implement the information superhighway. The group has lots of activities that try to re-imagine and re-engineer this interconnection

As our lives become more and more dependent on the availability of the Internet it is crucial that our data does not get lost and arrives quickly at the destination. We envision, for example, remote medical surgery where every movement on the controller needs to arrive in milliseconds to the remote operating room without getting lost.

To build routing protocols that deal with resilience efficiently is one of our main goals. No packet left behind.

A Faster Internet

We want faster and low delay communication. Adding capacity to our links is just part of the story. We need to make every link as useful as possible and, in many cases, reduce the delay from the service to the user.

We are designing routing mechanisms that allow much better-tailored decisions depending on the service being used. We are also designing network architectures that place services in the edge close to the users reducing service delay.

Content is King

The Internet is becoming a pure video delivery system. Soon, 90% of the traffic on the net is going to be video. The Internet was not designed for this. We have several projects that redesign the network layer to improve content delivery. Through this, we are evolving new solutions to replace the current IPv6 infrastructure (see for example 5GMEDIA project) and more revolutionary solutions that redefine the network layer as an Information Centric Network (ICN) where IP addresses are replaced by content addresses.

Information on this Research Theme can be provided by Professor George Pavlou .

Our ambitious vision is to offer an unprecedented level of immersion and interaction through virtual reality communications.

To make this vision a reality, key challenges behind content delivery need to be addressed: extremely high-resolution video signals that depict the 360-degree surrounding scene (omnidirectional videos) need to be efficiently delivered to the end users and the interactive nature of user-content interaction must be taken into account.

Unlike classical directional videos, omnidirectional imaging involves spherical acquisition, representation and rendering geometries. The visual signal is defined on a sphere and the user, virtually positioned at the centre of the sphere, can navigate the scene by changing viewing direction. At each instant in time, only a portion of the spherical content is displayed. This displayed portion depends on the user’s viewing direction, thus cannot be known in advance by the sender.

Interacting with virtual scenarios is becoming an important way to enhance the way we learn, carry out research and do our work [Royal Society] “Interacting with virtual scenarios is becoming an important way to enhance the way we learn, carry out research and do our work [Royal Society]

The novel type of content (spherical versus classical planar perspective videos), the high spatio-temporal resolution and low latency required, in addition to the interactive way this media is consumed has raised new engineering challenges throughout the entire end-to-end multimedia chain.

These challenges include signal acquisition, representation, processing, compression, delivery and rendering steps. Our research is aimed at designing an optimal video streaming strategy for omnidirectional videos, based on a user-, content- and application-dependent prediction model of users’ behavior.  

1.    Adaptive Streaming for Virtual Reality

The key goal of this research is to optimise the adaptive streaming platform for interactive communications such as Virtual Reality (VR).

VR applications target high-quality and zero-latency scene navigation to provide users with a full-immersion sensation within a scene.

From a network perspective, this requires transmission of the omnidirectional content in its entirety, at a high resolution, which is not always feasible in bandwidth-limited networks.

In this work, we propose an optimal transmission strategy for virtual reality applications able to fulfill the bandwidth requirements, while optimizing the end-user quality experienced in the navigation.

This line of research is also being funded in part by Adobe, USA. 

2.    Predicting Users Behaviour in Virtual Reality

In Virtual Reality (VR) applications, understanding how users explore the visual content is important in order to optimize content creation and distribution, develop user-centric services, or even to detect disorders in medical applications.

In our work, we seek novel machine learning strategies to both identify common patterns in the way users interact with the content and predict the way user navigate within the VR content.  

This line of research is also being funded in part by a Royal Society International Exchange Scheme involving both UCL and CWI in The Netherlands and is carried out in collaboration with EPFL (Switzerland), CWI, and INRIA.

Our work in the area of the Internet of Things (IoT) is researching and innovating across different layers, from waveform design through to applications and services, and from sensors, through to connectivity and data analytics.

The Internet of Things (IoT) is fuelling innovation in nearly every part of our lives. Billions of connected devices are acquiring and processing data, which in turn is analysed for the purpose of optimising products and services, or informing business decisions.

A key bottleneck in IoT systems are the current communication networks, which have not been designed to handle the unprecedented heterogeneity, mobility and traffic present in IoT networks and systems, as well as the ultra-low latency requirements specified for future, next-generation networks.

Our areas of work include but are not limited to the following:

Waveform design for the IoT

A new signal waveform termed enhanced narrowband IoT (eNB-IoT) has been designed using non-orthogonal modulation techniques. eNB-IoT can double the number of connected devices, quadruple the data rate per device, and support deeper signal coverage compared to existing NB-IoT without the need for additional spectrum resources.

Internet of Visual Things / Internet of Silicon Retinas

Vision intelligence combines conventional image processing with deep learning. While conventional cameras use a frame-based approach, dynamic vision systems (DVS) are designed to mimic the human retina by processing sparse streams of events at microsecond resolution. Research in this area is looking at techniques for representing, compressing and transmitting captured DVS data to the cloud efficiently. This area of research can be seen as “neuromorphic learning” combining the biologically inspired silicon retinas with the biologically inspired neural networks.

Localisation / Wireless Sensor Networks

Research in the area of localisation is a timeless topic with endless applications. The research in this areas is looking at ways of optimising existing solutions in terms of simplifying the network architecture, lowering the cost of the devices used and replacing conventional “mains-powered” devices with very low power smart devices capable of running off a battery for several years and in some cases, enhanced with energy harvesting capabilities. Applications for outdoor localisation include for example, proximity sensing in the construction industry to improve the safety of construction workers. A popular application for indoor localisation is asset management, for example, tracking beds in a hospital and monitoring their real-time location, as they are moved from one ward to another, or to different areas of the hospital.

Smart buildings

Improvement in energy efficiency and optimisation of user comfort levels are the key aims of “smart” buildings. This is achieved through the acquisition and analysis of building data obtained by using multiple sensors deployed throughout the buildings. These sensors should consume minimum power to allow them to be powered by a battery with a lifetime spanning several years. At the same time, the communication between the sensors and the cloud should be robust enough to ensure that the sensor data reaches its final destination with minimum packet losses.

Machine learning for smart cities

Beyond the massive volume of data, requiring a throughput rate of tens of gigabits per second, and the massive quantity of connected devices, amounting to billions, Ofcom has also predicted an unprecedented large service heterogeneity, in terms of latency, throughput, user capacity and so forth, for IoT services. 

This heterogeneity cannot be served any longer by current networks, based on the “one-size-fits-all” approach, using one wireless network for all services and devices. Instead, the general industry consensus is that the next digital revolution can be sustained only by agile and highly flexible networks, where the mobile network adapts its operation based on the actual service requirements and the related context.

To this end, another area of research is looking at implementing flexible, dynamic and automated reconfigurable networks by developing novel theoretical frameworks to design and evaluate decision-making strategies in large-scale networks. This will lead to real-time control and re-configuration of dynamic and large-scale mobile IoT communication networks.

Information on the research theme can be provided by Professor Alex Galis .

Professor Izzat Darwazeh

Head of group.

[email protected]  

The ICE research group are founding members of the Institute of Communications and Connected Systems (ICCS).

More information can be found on the Institute website.

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Doctoral School of Information and Communications Engineering

The Doctoral School of Information and Communications Engineering at TU Graz prepares you to display technical and scientific excellence in an environment of global competition and practice leadership in this field. In your dissertation, you provide solutions for currently relevant problems encountered in an area of information and communications engineering, thus, obtaining the highest technical and scientific level of training in this field.

Dissertation

• You conduct independent research in the field of information and communications engineering and its areas of specialization.
• You find and describe solutions for scientific and technological problems.
• You prepare and defend research findings.
• You publish in internationally renowned peer-reviewed journals or present your findings at international conferences or symposia.
• You write your dissertation in the English language.

Courses (curricular workload)

• You deepen your knowledge in an area of specialization of information and communications engineering.
• You gain experience using scientific methods applied in information and communications engineering.
• You exchange information about the progress and preliminary results of your dissertation research with your dissertation supervisor and other students.

Areas of specialisation

• Mikroelectronics and electronic systems
• Communications and information engineering
• Microwave and photonics engineering
• Signal processing and system theory
• Measurement technology and sensors
• Computer engineering and embedded systems
• Speech and audio communication

• Duration of study: 3 years
• Academic degree : Doktorin/Doktor der technischen Wissenschaften (Dr. techn.; translation: Doctor of Technical Sciences ), equivalent to the Doctor of Philosophy (PhD)
• Language of instruction : English
• Admission requirements: see requirements for doctoral programmes
• Curriculum Doctoral Programme in Technical Sciences
• Statutes of the Doctoral School of Information and Communications Engineering (in German) (English version will follow)

The best part of the doctoral school is the co-operation between academia and industry. As the industry is target-driven, the doctoral students’ projects involving industrial partners need to follow suit. In the courses provided by various institutes of the doctoral school of Electrical and Information Engineering we learn about the relevant theoretical background. I will definitely recommend the TU Graz to my students and colleagues in Pakistan.  

Information and Advice

• Head of the Co-ordination team of the Doctoral School of Information and Communications Engineering Gernot KUBIN Univ.-Prof. Dipl.-Ing. Dr.techn. Phone: +43 (316) 873 - 4430 gernot.kubin noSpam @tugraz.at
• Dean of Studies Uwe SCHICHLER Univ.-Prof. Dr.-Ing. Phone: +43 (316) 873 - 7400 uwe.schichler noSpam @tugraz.at
• Student representative Pasha BEKHRAD M.Eng. bekhrad noSpam @tugraz.at
• Student representatives: PhD Union

Admission Deadlines

Admissions to doctoral studies are possible in the current semester at any time up to a maximum of ten days before the start of the general admission period of the following semester. Admission deadlines

Further informationen on registration and admission

International degree programme applicants: admission and application deadlines

The following could also be of interest

• Other doctoral schools at TU Graz
• Continuing education

Lead project at the TU Graz

The Doctoral School of Information and Communications Engineering is involved in the Lead project at TU Graz Dependable Internet of Things together with the Doctoral School of Computer Science.

More Informationen:

• Project Dependable Internet of Things
• Project website

PhD Advisors and Institutes

Phd advisors.

The following institutes are associated with the Doctoral School of Information and Communications Engineering.

Institutes at the TU Graz

• Institute of Communication Networks and Satellite Communications
• Institute of Electrical Measurement and Sensor Systems
• Institute of Electronics
• Institute of Microwave and Photonic Engineering
• Signal Processing and Speech Communication Laboratory
• Institute of Technical Informatics

Information about the publications and projects from each institute can be obtained by viewing their respective business cards.

Institutes at the University of Music and Performing Art

• Institute of Electronic Music and Acoustics

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Phd in INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)

• INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)

Presentation

                              - Applied Electromagnetics                               - Electronics Engineering                               - Information and Communication Engineering                               - Radar and Remote Sensing

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Doctor of Philosophy in Telecommunications Engineering

Program description.

The PhD in telecommunications engineering program offers intensive preparation in design, programming, theory and applications. Training is provided for both academically oriented students and students with professional goals in the business, industrial and governmental occupations requiring advanced knowledge of telecommunications, network theory and technology.

Courses and research are offered in a variety of subfields of telecommunications engineering, including: fault-tolerant computing, parallel processing, digital signal processing, digital communications, modulation and coding, electromagnetic- wave propagation, fiber and integrated optics, lasers, wireless communications, mobile IP, wireless multimedia, DWDM networks, QoS assurance protocols, network design and optimization, telecommunications software, performance of systems, ad-hoc and PCS wireless networks, network security and high speed networks.

The University maintains a large network of computer facilities, including PCs, Unix work stations and specialized computers for research within the program and faculty laboratories. The Jonsson School has developed a state-of-the-art information infrastructure consisting of a wireless network in all buildings and an extensive fiber-optic Ethernet.

Career Opportunities

Graduates of the program seek positions such as: professor; researcher and consulting engineer in the public and private sectors. TE graduates find employment in local, national and international enterprises.

Marketable Skills

Review the marketable skills for this academic program.

Application Requirements

Degree requirements:  A master’s degree in telecommunications engineering, electrical engineering, computer science or a closely associated discipline from an institution of higher education in the U.S. or from an acceptable foreign university. Consideration will be given to highly qualified students wishing to pursue the doctorate without satisfying all of the requirements for a master’s degree.

GPA:  A grade point average (GPA) in graduate coursework of 3.5 or better on a 4.0 point scale.

Test score required:  Yes

GRE revised scores of 154, 156, and 4 for the verbal, quantitative and analytical writing components, respectively, are advisable based on our experience with student success in the program.

Letters of recommendation:  Applicants must submit three letters of recommendation on official school or business letterhead or the UT Dallas Letter of Recommendation form from individuals who are familiar with the student record and able to judge the candidate’s probability of success in purchasing doctoral study in Telecommunications Engineering.

Admissions essay required:  Yes

Applicants must also submit a narrative describing their motivation for doctoral study and how it relates to their professional goals.

Deadlines:  University  deadlines  apply.

Contact Information

Jeong Bong (JB) Lee ECE Graduate Program Head Email: [email protected] Phone: 972-883-2386 Office: ECSN 2.716B

Graduate Program Information Email: [email protected] Phone: 972-883-2139 Office: ECSN 2.7 Suite

ece.utdallas.edu

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MPhil-PhD in Information Engineering

The Division of Information Engineering seeks outstanding research students aspiring to make high impact innovations and fundamental discoveries in information engineering. Our professors are world-class researchers. Our laboratories are well-equipped. Our courses cover the forefronts of information engineering. Students explore various topics in the areas of communications, networking, information processing, and security. We provide an environment conducive to original theoretical, experimental, and application research in information engineering.

• Research oriented.
• Normative period is 36 (or 48) months for full-time students with a research-oriented Master’s degree granted by UGC-funded institutions (or a Bachelor’s degree), maximum period is 72 (or 84) months.
• Pass the Thesis Research Course every term throughout the study period.
• Pass the coursework requirements.
• Pass a written exam.
• Perform independent research, present a research proposal to a thesis committee and pass an oral examination.
• Normally take two years.
• Pass any additional coursework requirement.
• Fulfill other miscellaneous requirements on IT proficiency, residency, and observing intellectual properties and copyright.
• Perform independent research and submit a thesis with original contributions and depth.
• Present the research work to a thesis committee and pass an oral examination.

MPhil Stream

• Normative period is 2 (3) years for full-time (part-time) students, maximum period is 4 (5) years.
• Pass the coursework requirement.
• Perform independent research and submit a thesis with original contributions.

NOTE: We prefer PhD applicants to MPhil applicants. The department does not usually offer student stipends to MPhil students. In addition, once admitted to the PhD stream, transfer to MPhil requires special approval and is subject to significant research output at the expected MPhil graduation date, i.e., we do not encourage students who come in as PhD students only to become MPhil students later.

+86 10 8639 1449 | [email protected]

PhD in  Information and Communications Engineering

Introduction to the program.

The PhD in Information and Communications Engineering at Beihang University is a three and a half or four year program for international students taught in English. Students can start the program in September or February each year. Students on the Information and Communications Engineering PhD Program can specialise in the following areas: – Communications and Informations systems – Signal and information processing

About Beihang University

Entry requirements, application deadline, tuition fees.

The following courses are offered by all international postgraduate programs: – Chinese – Introduction to China – Theory of Matrix – Finite Element method in Engineering – Introduction to Space flight – Introduction to Space law – Scientific literature retrieval – Scientific thesis writing – Fractals and Wavelets – Probability and Statistics – C Language – Computer networking and applications – Space environment, orbit and satellite systems – Aerospace materials and processes – Introduction to modern manufacturing technology

Personal Development Workshops in general skills, such as writing, presentations, thesis and planning.

Accommodation

There are single dormitories available on campus for 1,300 RMB and shared dormitories for 650 RMB per month.

After students have been accepted onto the program they will receive an official acceptance letter and visa application form. Students should apply for an X (study) visa from the Chinese embassy in their country. Students should also complete a health certificate. If you have any questions contact us .

Application

To apply complete the application form and pay the application fee here . All applications are processed at the same time and students will receive their result in the month of July (for September start), and December (for February start). After you have been accepted you will receive your official acceptance letter visa application form. If you have any questions contact us .

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PhD in Information Engineering

Wireless, information, and networked systems constitute the core infrastructure of the 21st century. Wireless research at Princeton ranges across the “full stack” — from the enabling circuits and systems to platforms and applications, and across the end-to-end flows of data from wearable and mobile devices at the edge to networked systems. The work is highly interdisciplinary, spanning theory and practice and encompassing cross-cutting themes such as security, privacy, and resilience, as well as the ability of next-generation networks to improve fairness and bridge the digital divide.

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Earn your MBA and SM in engineering with this transformative two-year program.

Combine an international MBA with a deep dive into management science. A special opportunity for partner and affiliate schools only.

A doctoral program that produces outstanding scholars who are leading in their fields of research.

Bring a business perspective to your technical and quantitative expertise with a bachelor’s degree in management, business analytics, or finance.

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PhD Program

Program overview.

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Rigorous, discipline-based research is the hallmark of the MIT Sloan PhD Program. The program is committed to educating scholars who will lead in their fields of research—those with outstanding intellectual skills who will carry forward productive research on the complex organizational, financial, and technological issues that characterize an increasingly competitive and challenging business world.

Start here.

Learn more about the program, how to apply, and find answers to common questions.

Admissions Events

Check out our event schedule, and learn when you can chat with us in person or online.

Start Your Application

Visit this section to find important admissions deadlines, along with a link to our application.

Click here for answers to many of the most frequently asked questions.

PhD studies at MIT Sloan are intense and individual in nature, demanding a great deal of time, initiative, and discipline from every candidate. But the rewards of such rigor are tremendous:  MIT Sloan PhD graduates go on to teach and conduct research at the world's most prestigious universities.

PhD Program curriculum at MIT Sloan is organized under the following three academic areas: Behavior & Policy Sciences; Economics, Finance & Accounting; and Management Science. Our nine research groups correspond with one of the academic areas, as noted below.

MIT Sloan PhD Research Groups

Behavioral & policy sciences.

Economic Sociology

Institute for Work & Employment Research

Organization Studies

Technological Innovation, Entrepreneurship & Strategic Management

Economics, Finance & Accounting

Accounting  

Management Science

Information Technology

System Dynamics  

Those interested in a PhD in Operations Research should visit the Operations Research Center .  

PhD Program Structure

Additional information including coursework and thesis requirements.

MIT Sloan Predoctoral Opportunities

MIT Sloan is eager to provide a diverse group of talented students with early-career exposure to research techniques as well as support in considering research career paths.

Rising Scholars Conference

The fourth annual Rising Scholars Conference on October 25 and 26 gathers diverse PhD students from across the country to present their research.

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The goal of the MIT Sloan PhD Program's admissions process is to select a small number of people who are most likely to successfully complete our rigorous and demanding program and then thrive in academic research careers. The admission selection process is highly competitive; we aim for a class size of nineteen students, admitted from a pool of hundreds of applicants.

What We Seek

• Outstanding intellectual ability
• Excellent academic records
• Previous work in disciplines related to the intended area of concentration
• Strong commitment to a career in research

MIT Sloan PhD Program Admissions Requirements Common Questions

Dates and Deadlines

Admissions for 2024 is closed. The next opportunity to apply will be for 2025 admission. The 2025 application will open in September 2024. 

More information on program requirements and application components

Students in good academic standing in our program receive a funding package that includes tuition, medical insurance, and a fellowship stipend and/or TA/RA salary. We also provide a new laptop computer and a conference travel/research budget.

Funding Information

Throughout the year, we organize events that give you a chance to learn more about the program and determine if a PhD in Management is right for you.

PhD Program Events

May phd program overview.

During this webinar, you will hear from the PhD Program team and have the chance to ask questions about the application and admissions process.

June PhD Program Overview

July phd program overview, august phd program overview.

Complete PhD Admissions Event Calendar

Unlike formulaic approaches to training scholars, the PhD Program at MIT Sloan allows students to choose their own adventure and develop a unique scholarly identity. This can be daunting, but students are given a wide range of support along the way - most notably having access to world class faculty and coursework both at MIT and in the broader academic community around Boston.

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Profiles of our current students

MIT Sloan produces top-notch PhDs in management. Immersed in MIT Sloan's distinctive culture, upcoming graduates are poised to innovate in management research and education.

Academic Job Market

Doctoral candidates on the current academic market

Academic Placements

Graduates of the MIT Sloan PhD Program are researching and teaching at top schools around the world.

view recent placements 

MIT Sloan Experience

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The PhD Program is integral to the research of MIT Sloan's world-class faculty. With a reputation as risk-takers who are unafraid to embrace the unconventional, they are engaged in exciting disciplinary and interdisciplinary research that often includes PhD students as key team members.

Research centers across MIT Sloan and MIT provide a rich setting for collaboration and exploration. In addition to exposure to the faculty, PhD students also learn from one another in a creative, supportive research community.

Throughout MIT Sloan's history, our professors have devised theories and fields of study that have had a profound impact on management theory and practice.

From Douglas McGregor's Theory X/Theory Y distinction to Nobel-recognized breakthroughs in finance by Franco Modigliani and in option pricing by Robert Merton and Myron Scholes, MIT Sloan's faculty have been unmatched innovators.

This legacy of innovative thinking and dedication to research impacts every faculty member and filters down to the students who work beside them.

Faculty Links

• Accounting Faculty
• Economic Sociology Faculty
• Finance Faculty
• Information Technology Faculty
• Institute for Work and Employment Research (IWER) Faculty
• Marketing Faculty
• Organization Studies Faculty
• System Dynamics Faculty
• Technological Innovation, Entrepreneurship, and Strategic Management (TIES) Faculty

Student Research

“MIT Sloan PhD training is a transformative experience. The heart of the process is the student’s transition from being a consumer of knowledge to being a producer of knowledge. This involves learning to ask precise, tractable questions and addressing them with creativity and rigor. Hard work is required, but the reward is the incomparable exhilaration one feels from having solved a puzzle that had bedeviled the sharpest minds in the world!” -Ezra Zuckerman Sivan Alvin J. Siteman (1948) Professor of Entrepreneurship

Sample Dissertation Abstracts - These sample Dissertation Abstracts provide examples of the work that our students have chosen to study while in the MIT Sloan PhD Program.

We believe that our doctoral program is the heart of MIT Sloan's research community and that it develops some of the best management researchers in the world. At our annual Doctoral Research Forum, we celebrate the great research that our doctoral students do, and the research community that supports that development process.

The videos of their presentations below showcase the work of our students and will give you insight into the topics they choose to research in the program.

How Should We Measure the Digital Economy?

2020 PhD Doctoral Research Forum Winner - Avinash Collis

Watch more MIT Sloan PhD Program  Doctoral Forum Videos

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Photonic Integrated classical/quantum transceiver for quantum communications (QuNEST Doctoral Candidate 9)

Research Programme Description “QuNEST– Quantum Enhanced Optical Communication Network Security Doctoral Training” is hiring 11  Doctorate Candidates to be funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks. QuNEST is a highly i...

PhD position - Interactive data collection during the tour of a Travelling salesman drone on convex neighborhoods of buried sensor nodes

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PhD in Information and Communication Engineering

University of science and technology beijing ( ).

The PhD in Information and Communication Engineering at University of Science and Technology Beijing (USTB) is a 4 years long program for international students, taught in English.

📖 Introduction

The University of Science and Technology Beijing (USTB) was founded in 1952 following the amalgamation of the best departments in related fields of five eminent universities as a result of a nationwide reorganization of the higher education system. Over half a century of remarkable growth, it has developed into one of the most influential key national universities sponsored by the Chinese Ministry of Education. USTB is renowned for its study of metallurgy and materials science.

🏫 About University of Science and Technology Beijing (USTB)

USTB is extremely famous for its study of metallurgy and materials science. While engineering is the focus, it maintains a balanced program of science, management, humanities, economics and law.

In 1997, USTB became one of the first 33 universities in China that are entitled to establish state-approved graduate schools. In the same year it was listed in the first group of universities chosen to be part of China’s “211 Project”, which is designed to develop a hundred first-rate universities in the 21st century. In 2006, USTB was selected as one of the few pilot universities for the “Platform for National Advanced Disciplines Innovation” program.

USTB values greatly and will for ever cherish its long tradition of being “Rigorous in Learning and Research and Venerating Practice”. Over 100,000 graduates are contributing to society all over the world; most of them have become professionals and joined our national elites in the field of politics, economics, science and education.

In scientific research, USTB hosts two national key laboratories, two national engineering research centers, two national science and technology platforms and 17 ministerial open laboratories and research centers. USTB is particularly strong at solving technological problems in the modernization of metallurgy and materials production, as well as at developing new technologies in these and other industries. In the two phases of the “211 Project” already completed, USTB has won four First Prize awards in the National Prizes for Progress in Science and Technology, which ranks as a national record.

USTB is one of the first groups of universities to accept foreign students. Since 1954, several thousand foreign students from 114 countries in Asia, Africa, Europe, and America have taken degrees or completed their studies here. So far, it has cultivated foreign students of various levels and various types, including doctors, masters, undergraduate students, advanced scholars, ordinary trainees, Chinese language students and internship students. A large number of foreign friends have made accomplishments after learning here, which promotes USTB’s international communication and cooperation. So, foreign students who have ambitions are welcome to study in USTB.

USTB is now working hard towards its goal of becoming one of the top-ranking research universities in China and an internationally renowned higher education institute with its own distinguishing features.

About Beijing

Beijing is well-known for being China’s governing city, as well as its capital. Beijing is a fascinating place steeped in culture, adventure and surprises! When choosing Beijing the main thing to remember is to expect the unexpected! For history, culture & an authentic Eastern experience, the city of contrasts is the place to choose.

Living in University

USTB attaches great importance to the overall development of students and provides a rich variety of extra-curricular activities ranging from science to sports, culture and the arts to fulfil students’ high expectations of their campus life. Students have been able to improve their abilities remarkably. They have distinguished themselves in competitions held both at a national level and by the Beijing Municipality. The science team won the championship in the second and fourth “CCTV National Student Robot Design Competition”. Sports teams have won many gold medals in competitions at all levels.

🏠 Accommodation

Price for dormitory is 35-50 per day.

• You will need to book the accommodation after you have been accepted.
• You can choose to live on campus or off campus in private accommodation.
• We have an article about how to find accommodation off campus here .

Application Fee:

Tuition fee:

47,600 CNY per year

190,400 CNY in total

Insurance is 800 CNY .

💸 Living Expenses in Beijing

📬 admissions process, 3 steps to apply to a chinese university.

Choose Programs

Apply Online

Enroll in China

Please choose the programs here , "You are advised to select 2-3 programs to increase your chances of getting accepted.

Required Documents:

• Certificate from the Financial Guarantor
• Second Recommendation Letter
• First Recommendation Letter
• Medical Examination Form
• English Language Certificate
• Your Highest Academic Transcript (In English)
• Your Graduation Certificate (in English)
• Personal Statement Letter or Study Plan
• Your Photograph
• Your Passport Copy

Preparing documents:

You can start your application now and send the application documents during your application. Some documents you can send later if you don’t have them right away. Some more info about preparing application documents is here

Application process:

Applying Online is simple in just a few steps. More information is available here .

The first steps are to choose the programs, pay the application fee and upload the application documents.

Once submitted to China Admissions, we will review your application within 2-3 days and proceed to the university or ask you for further clarification

After it has been processed to the university you will receive your unique application ID from each university.

The university may contact you directly for further questions.

We will then follow up each week with the university for updates. As soon as there is any update we will let you know. If you have made other plans, decide to withdraw / change address at any time please let us know.

After you have been accepted you will receive your admissions letter electronically and asked to pay the non-refundable deposit to the university.

Once you have paid the deposit the university will issue you the admissions letter and visa form to your home country.

❓ Have a Question?

There are no similar questions. Please send us your question below

📝 University of Science and Technology Beijing (USTB) Reviews

🛏️ Accommodation

🏓 Facilities

💲 Value for money

👨‍🏫 Classes

🕺 Student experience

🗣️ Recommend a friend?

Why Apply on China Admissions?

More details

Similar Programs

PhD in Mechanical Engineering

Harbin Institute of Technology (HIT)

Shandong University, Jinan

PhD in Electrical Engineering

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Information and Communication Engineering (iCE)

Master of science; tuition language: english.

The following English language content is for information purposes only. The legally binding content can be found on the corresponding German website.

Description

The research-oriented study programme Master of Science Information and Communication Engineering is focused on the theoretical basics, models and applications of information transmission and processing. This includes communication techniques and algorithms, methods for their microelectronic integration in hardware/software solutions with applications in mobile and multimedia communication, coding, data compression, security, image processing, medical systems etc. The interdisciplinary study programme is tailored to German as well as foreign students intending to pursue a degree with an international focus and courses held in English.

Module Handbook (opens in new tab)

Study Regulations with Semester Course and Examination Schedule

Course Catalogue

Departmental programme information

FAQ Studies

Information and Communication Engineering at TU Darmstadt

More videos

General Information & Admission

Related degree programmes.

Computational Engineering (M.Sc.)

Elektrotechnik und Informationstechnik (M.Sc.)

Informationssystemtechnik (M.Sc.)

Mechatronik (M.Sc.)

Wirtschaftsingenieurwesen – technische Fachrichtung Elektrotechnik und Informationstechnik (M.Sc.)

Career Perspectives

There is a wide range of career perspectives for electrical engineers since electrical engineering is a key technology in numerous fields of engineering, e.g. mechanical and process engineering, aerospace, the automotive industry as well as medical engineering. Also, companies within the scope of information and communication technology, energy engineering and automation engineering belong to the potential employers of electrical engineers.

Also, a considerable number of graduates choses the Ph.D. as an entry into the workforce and begins working towards a Ph.D. at a university or research institute.

TU Darmstadt Career Service

International Admission

international.admission@zv.tu-...

International Counter, Lobby karo 5 (submit/pick up documents):

Mo: 2 - 4 pm Tue - Fri: 10 am - 12 pm

We are also available via video chat at our digital consultation hours .

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• CHE University Ranking
• DAAD database on admission requirements
• Help and Advice

International Programmes 2023/2024

Information and Communication Engineering Information and Communication Engineering

Technical university of darmstadt • darmstadt.

• Course details
• Costs / Funding
• Requirements / Registration
• About the university

In the first year, all lectures are held in English in addition to German language courses. If desired, students can choose courses taught in German from the second year on.

The application process starts on 1 March. The process must be started via the programme's website . Applicants must send certified copies of all academic documents to the university's Department of International Affairs by 31 August. The applications are processed as they come in. We recommend to apply early in order to get the admission early.

This interdisciplinary study programme is focused on the theoretical basics, models and applications of information transmission and processing. This includes communication techniques and algorithms, as well as methods for their microelectronic integration in hardware/software solutions with application in mobile and multimedia communication, coding, data compression, security, image processing and medical systems. The technical lectures cover the following areas:

• Microelectronics
• Electronic Systems Design
• Communication Technology
• Communication Systems
• Computer Science & Media Technology
• Information Technology
• Device Technology and Circuit Design
• Machine Learning
• Matrix Analysis and Computations

The international Master's programme in Information and Communication Engineering (iCE) is a four-semester programme: three semesters with lectures, seminars and projects, and a Master's thesis in the fourth semester.

• Language training provided
• Training in intercultural skills

The registration fee totals about 300 EUR per semester. This includes administrative fees and a student ticket that is valid for short distance public transport in Darmstadt and the state of Hesse.

Registration fees

Estimated living expenses are about 800 EUR to 1,000 EUR per month. Please note that these costs are just a rough estimation and can vary greatly depending on your way of life, your accommodation, etc.

Costs and budget

The international Master's programme in Information and Communication Engineering is a programme of excellence. We expect our students to have a solid background in basic engineering subjects, as well as good foundations in information technology and communications. Our students should be proficient in the following:

• mathematics and statistics
• foundations of communication technology
• foundations of communication systems
• signal theory
• software engineering
• computer architecture
• electronics and semiconductor devices

A Bachelor's degree (or equivalent) in a related area is mandatory, and the transcripts of the Bachelor's degree must confirm the candidates' solid background in the field of information and communication engineering. Degree programmes in electrical engineering, computer engineering, computer science and communications engineering are known to provide such background, but a Bachelor's degree in one of these majors does not guarantee acceptance to the programme. And the opposite is also true: students with degrees other than those listed above will be considered for acceptance if their transcripts show that they have a solid background in the fields of information and communication engineering. All degree certificates and transcripts are carefully analysed by a committee in order to ascertain whether the candidate has the right background for the programme.

All our candidates are expected to be proficient in the English language. An English proficiency certificate should accompany the application material. We accept the following certificates: TOEFL 570 (paper-based), TOEFL 230 (computer-based), IELTS 6.5, Cambridge CPE level C. In the event that the applicant has a certificate of an English-speaking Bachelor's degree, he/she does not need an additional language test.

Online Application TU Darmstadt

Starting from the second semester of studies, iCE students can apply for research assistantships at several institutes of the Electrical Engineering and Information Technology Department. Such assistantships are paid on an hourly basis and allow students to become involved in state-of-the-art research and development projects.

TU Darmstadt's International Affairs Department assists international students in their search for accommodation through its Housing Assistance Office. A major science hub, Darmstadt is home to multiple research institutions, three universities, and many high-technology companies, all of which attract people from around the world. A wide variety of accommodations that vary in size, furnishing, and rent are available in Darmstadt and its vicinity. As the university does not own or manage student housing, we support students in finding housing in private and public student dormitories or on the private market. In order to improve your chances in finding the optimal place to live, we recommend that you start your search early. We are happy to assist you in this process. Please make sure to register online on the housing assistance website for international students.

Our services include the distribution of an “Accommodation Guide” that includes links to private and public student dormitories, hotels and youth hostels, and a “Housing Guide” that provides tips on how to search for accommodation in Darmstadt.

• Welcome event
• Specialist counselling
• Cultural and linguistic preparation

Technical University of Darmstadt

TU Darmstadt

By choosing TU Darmstadt , you are making an investment in your personal and professional future. Committed to academic rigour, cutting-edge research, and interdisciplinary collaboration, TU Darmstadt provides its community with an environment that sparks innovation. Our challenging 113 academic programmes allow students to gain international experience at an early stage while preparing them for successful careers in research, education, and the private sector.

In addition to its acclaimed strengths in engineering and technology, TU Darmstadt offers prospective students a wide range of study programmes in the natural sciences, social sciences, and the humanities.

Our subject profile: 50% Engineering 35% Natural Sciences 15% Humanities

Founded in 1877, TU Darmstadt is one of Germany's leading universities of technology and a member of TU9, a network of the most distinguished German institutes of technology. TU Darmstadt is also the coordinator of the European University UNITE! (University Network for Innovation, Technology and Engineering) – an alliance of nine leading European universities of technology.

TU Darmstadt has a global reputation for outstanding technology transfer through industrial partnerships, award-winning teaching facilities, and highly ranked research output. Its distinct focus on interdisciplinary cooperation works as a catalyst for innovative approaches to technology in research and everyday life applications.

Committed to an international orientation in teaching and research, as well as the promotion of values like open-mindedness and mutual respect, TU Darmstadt is home to a diverse community of students and researchers from 120 countries. With more than 500 partner universities around the globe and 40 double degree programmes as well as a strong network of industrial partners in the region, our alumni are sought-after professionals on the local, national, and international level. The QS Graduate Employability Ranking regularly ranks TU Darmstadt among the best universities in the world.

At TU Darmstadt , it is our priority to support international students in navigating this new environment. The International Student Services (ISS) team is happy to assist you before and during your stay.

University location

General note: Germany has one of the world’s best health care systems. The country has been coping comparably well with the Coronavirus pandemic.

With around 160,000 inhabitants and well over 40,000 students (roughly 26,000 of whom are at TU Darmstadt ), the science city of Darmstadt offers a high quality of life as well as numerous cultural and tourist attractions in the immediate vicinity. Due to the city’s location in the centre of the dynamic Rhine-Main region and an excellent public transportation system, Darmstadt is well connected to destinations in Germany and around Europe.

A metropolitan high-tech centre in the heart of Europe, Darmstadt is the birthplace of numerous inventions that have changed our daily lives: from the radio-controlled clock, Plexiglas®, and the first enzyme-based washing agent to the liquid crystals in our mobile phones and notebooks. As the home of Art Nouveau, the internationally renowned European Space Agency, and research facilities like Fraunhofer Institutes, Darmstadt offers a creative and innovative milieu for living, studying and conducting research.

• Getting around: All TU students are equipped with a semester ticket ( "Semesterticket" in German), which provides free access to public transportation and local trains throughout the state of Hesse.
• The University Sports Centre at TU Darmstadt gives students the opportunity to find a healthy balance between work and personal life. There are also plenty of opportunities to participate in activities at the university stadium or swimming pool. Entry is free of charge to both facilities. During the ongoing pandemic, students have the option of taking online classes.
• Finally, TUtor International is a project at TU Darmstadt supporting international students culturally, academically and socially. Our aim is to assist international students with their orientation and integration into student life and German society. As a multicultural and international team, we are well aware of the differences in cultural backgrounds, and we are here for you as companions and friends. Connect with us on Instagram and Facebook .

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