university of alberta phd data science

• My UCalgary
• Class Schedule
• UCalgary Directory
• Continuing Education
• Active Living
• Academic Calendar
• UCalgary Maps
• Close Faculty Websites List Viewing: Faculty Websites
• Cumming School of Medicine
• Faculty of Arts
• Faculty of Graduate Studies
• Faculty of Kinesiology
• Faculty of Law
• Faculty of Nursing
• Faculty of Nursing (Qatar)
• Faculty of Science
• Faculty of Social Work
• Faculty of Veterinary Medicine
• Haskayne School of Business
• School of Architecture, Planning and Landscape
• School of Public Policy
• Schulich School of Engineering
• Werklund School of Education
• DATA SCIENCE AND ANALYTICS
• Professional Programs
• Master of Data Science and Analytics
• Graduate Diploma
• Specialization in Business Analytics
• Specialization in Data Science
• Specialization in Health Data Science and Biostatistics
• Specialization in Financial and Energy Markets Data Modelling
• Graduate Certificate
• Undergraduate Programs
• Undergraduate Major in Data Science
• Undergraduate Minor Data Science
• Bachelor of Commerce Concentration in Business Analytics

Graduate Diploma in Data Science and Analytics

Elevate your career with a graduate-level 8-course diploma taught by leading professionals on campus.

Application Portal Information

• November 1, 2023:  Application start
• March 26, 2024:  Deadline for International applicants
• July 12, 2024:  Deadline for Canadian/Permanent Residents

Lunch and Learn

Join our Lunch and Learn   to hear more about our professional programs in the rapidly evolving fields of Quantum Computing, Data Science and Analytics and Information Security. 

Our one hour session will cover all three of our professional programs and a complimentary lunch will be provided. Faculty members will also be on hand to meet prospective students and answer questions.

Next Lunch and Learn:

Date : May 16, 2024 Time: 12 - 1 p.m.  Location: University of Calgary, Downtown Campus (906 8 Ave SW, Calgary)

Why a Graduate Diploma in Data Science and Analytics?

The demand for professionals trained with deep data and analytical skills is disrupting the job market. There is an incredible need for data scientists and business analytics professionals to make sense of the large amounts of data that are collected, to uncover hidden solutions to complex business problems, to present useful insights to business leaders, and to make fact-based managerial decisions.

We offer a diploma with four unique specializations in Data Science and Analytics to prepare you for a job in a variety of emerging fields.

Diploma Specializations

Business analytics.

Offered by the Haskayne School of Business, this specialization will provide you with the skills needed to support data-driven business decision-making. Students will collect and interpret big data through analysis to evaluate, predict and prescribe decisions in numerous business areas.

Data Science

Offered by the Faculty of Science, this specialization will help you gain skills for the new digital economy. You will learn how to apply the analytical tools to work in professional fields such as data analysis and cleaning, machine learning and information visualization.

Health Data Science and Biostatistics

Offered by the Cumming School of Medicine, this specialization will provide you with the skills  to help advance precision medicine and public health. You will learn to apply analytic techniques including machine learning, natural language processing and data visualization in the world of medicine.

Financial and Energy Markets Data Modelling

Offered by the Faculty of Science, this specialization will give you the skills to flourish in a data-driven global economy. You will learn to apply these concepts and tools in the financial and energy industries to effectively plan future trading and transactions and manage their associated risk.

Transition your Career

Whether you want to enhance your analytical skill set, refresh your skills, or expand your career, our Data Science and Analytics Graduate Program will get you there. This unique graduate degree combines technical knowledge and a hands-on learning experience that will prepare you to take your career to new heights in today’s data-driven world.

NOTE:  Once you have initiated your application, be sure to choose " Data Science and Analytics- Diploma " from the list of programs offered .

What are the admission requirements?

To be considered for admission to the certificate and diploma programs in data science and analytics, you must meet the requirements outlined here .

In case of discrepancies between this page and the Academic Calendar, the Academic Calendar shall prevail. The minimum requirements are the same for all three credentials in the Data Science and Analytics graduate program, as such we recommend that students apply to the highest credential they are interested in.

How much does it cost?

Tuition information can be found here .

What courses will I take?

The curriculum depends on the diploma program. In the Fall Term (from September until December), all students from the certificate and diploma programs will start together with four courses in the fundamentals of data science and analytics (DATA 601, 602, 603 and 604).   Starting in January, students proceed to the diploma phase with domain-specific courses for each specialization. An overview is provided below:

-- Fall Term (September-December) (All students will complete the 4 certificate courses in the Fall)

DATA 601: Working with Data and Visualization

DATA 602: Statistical Data Analysis

DATA 603: Statistical Modeling with Data

DATA 604: Working with Data at Scale

Full-time Diploma Program – Business Analytics Specialization

-- Winter term (January-April)

DATA 611: Predictive Analytics

DATA 612: Decision Analytics

DATA 613: Introductory Data Analytics

DATA 614: Advanced Data Analytics

Full-time Diploma Program – Data Science Specialization

DATA 605: Actionable Visualization and Analytics

DATA 606: Statistical Methods in Data Science

DATA 607: Statistical and Machine Learning

DATA 608: Developing Big Data Applications

Full-time Diploma Program – Financial Energy Markets Data Modelling Specialization

DATA 609: Modelling of Financial Energy Markets Data

DATA 610: Advanced Modelling of Financial Energy Markets Data

Full-time Diploma Program – Health Data Science & Biostatistics Specialization

-- Winter Term (January-April)

DATA 621: Advanced Statistical Modelling

DATA 622: Machine Learning for Precision Health

DATA 623: Big Data in Health

DATA 624: Advanced Exploration and Visualization in Health

What is the duration of the graduate diploma?

Eight months for new full-time students starting with the certificate program, or four months for full-time students laddering from the certificate program. Maximum completion time of three years for part-time students.

Frequently Asked Questions

• Quiz: Find Your Program
• Browse Program Categories
• AI-Powered Search
• Find a Career
• Career Quiz
• Chat With Students
• Study Abroad
• Scholarships
• Job Opportunities
• Virtual Tours
• Counsellors

Programs to Consider

University of alberta - faculty of graduate studies & research, measurement, evaluation, and data science, description:, prerequisites:.

* The entrance grade may change from year to year. Please contact the school for further information. * We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

• About SchoolFinder.com
• Meet the Team
• Our Partners
• Privacy Policy
• The SchoolFinder Group

StudyinCanada.com

ScholarshipsCanada.com

• GradSchoolFinder.com
• Career-College.com
• LanguageSchoolFinder.com
• Books4Exchange.com
• SchoolFinderGroup.com
• Let's Connect
• Advertise with us
• School Administrator
• Counsellor Toolbox

Your SchoolFinder login gets you access to the whole platform!

Get instantly matched to scholarships, receive deadline alerts, and find advice on scholarship applications.

Get matched to schools and programs in Canada, request information, and learn how to thrive as an international student.

Your browser does not have JavaScript enabled. Please enable JavaScript to access SchoolFinder.com. Feel free to contact us at [email protected] if you continue to experience technical difficulties.

• My UCalgary
• Class Schedule
• UCalgary Directory
• Continuing Education
• Active Living
• Academic Calendar
• UCalgary Maps
• Close Faculty Websites List Viewing: Faculty Websites
• Cumming School of Medicine
• Faculty of Arts
• Faculty of Graduate Studies
• Faculty of Kinesiology
• Faculty of Law
• Faculty of Nursing
• Faculty of Nursing (Qatar)

Faculty of Science

• Faculty of Social Work
• Faculty of Veterinary Medicine
• Haskayne School of Business
• School of Architecture, Planning and Landscape
• School of Public Policy
• Schulich School of Engineering
• Werklund School of Education
• University of Calgary
• Future Students
• Undergraduate
• Explore Programs
• Why UCalgary
• Tours and events
• Connect with a Recruitment Advisor
• How to apply
• Dates and Deadlines
• Fees and financing
• You've been admitted
• Indigenous students
• International students
• Parents and family
• High School Counsellors
• Contacts and help
• Helpful resources
• Student Life
• How to Apply
• Indigenous Graduate Students
• International Students
• Understanding Graduate Studies
• Open Studies
• Degree holders and Non-Degree holders
• Visiting students and Visiting student researcher
• High school students
• University Entrance Program
• Open Studies dates
• Professional & Continuing Education
• Haskayne School of Business - Executive Education
• Faculty of Social Work - Professional Development Program
• Continuing Medical Education & Professional Development

Data Science

Bachelor of Science (BSc)

Why choose Data Science?

In the world around us, people look for patterns and stories in data. In data science, we explore methods from statistics and computing in combination what we know from other subject areas to better understand our data and how to interpret our findings.  We learn to handle data more efficiently, the possibilities and limits of data-centric techniques such as machine learning, and the ways in which our humanity affects how we collect, curate and present data and stories from our immediate contexts to the world.

Career opportunities

A wide range of fields are looking for people with data science skills. You might find work as a data scientist, analyst, or machine learning specialist in any field that works with data, for instance:

• Retail and marketing
• Logistics and Transportation
• Government and non-profit
• Natural sciences
• Medicine or public health

Courses in this program

• Foundational concepts in statistics and computing.
• Concentration in another field of study – choose over 25 concentrations from which you will complete a required six courses, with at least two at the 400-level and above.
• Capstone projects: Work with real world data to solve relevant problems and explore exciting new opportunities.
• Group work and teams: Work together in teams to create robust solutions.

Linear Methods I, University Calculus I, Discrete Mathematics, Introduction to Computer Science for Multidisciplinary Studies I and II, Introduction to Statistical Enquiry for Data Scientists, Introduction to Data Science

Detailed course information

• Program description and courses (Course Calendar)

Employers in Calgary and beyond are looking for graduates who can help them transform their day-to-day operations by storing, managing and using data to create new innovations and insights. The Data Science program is a flexible program which encourages students to build broad and diverse foundations, combined with the scientific, analytical and computational tools which are reshaping our everyday lives.

Dr. Leanne Wu

PHD Professor

• After degree student

Use the Undergraduate Student Cost Estimator to calculate your expenses as a first-year student. Undergraduate Student Cost Estimator

See the best of UCalgary

Check out our student experience page to find out more about what life is like on campus or consider visiting campus for a tour led by one of our current students.

Learn about the student experience

More ways to get in touch

Ready to find out what campus is really like? Book a tour, join us at an event, or sign up for more information.

Join us for a future student event

Check our calendar to find out when we'll be in your area, or register for one of our upcoming online events.

Check events

Sign up for more information

Sign up for more information about UCalgary, receive important details and reminders, and find out when UCalgary is visiting your area.

Get more information

See the campus

Guided by a current student, you'll explore our classrooms, residences, athletic facilities, and more.

Book a tour

Contact us and get help

Need assistance? Learn how to get ahold of us and find answers to your questions.

Contact and help

Ready to take the next step?

Science B 149 2500 University Drive NW Calgary, Alberta T2N 1N4

403.220.8600

MS in Data Science

MSDS students choose among the many introductory graduate courses offered to students in the PhD program. These courses cover areas of computer science, optimization, linear algebra and statistics for students that have not had prior exposure to this required course work. Master’s students are fully integrated in the academic activities of the department alongside the PhD students.

Students must complete the required 5 core courses, 4 electives, and a final project to complete the program. There are also three foundational courses that students can test out. For the students who test out of foundational courses, the minimum number of courses taken in the program is 9. For the students who take all foundational courses, it is 12. These foundational courses can be taken in the summer before the program starts. Finally, students will be able to engage in a variety of opportunities across the Data Science Institute research programs and partnerships during their residency in the program.

The Curriculum

Foundational courses:.

Interested students will have the opportunity to test out of each of the 3 foundation courses below. Each of the courses will be offered in the late summer and offered online before the start of the fall quarter.

• Computational Foundations for Data Science
• Mathematical Foundations for Data Science
• Statistical Foundations for Data Science

Core Courses:

• Introduction to Data Science
• Systems for Data and Computers/Data Design
• Data Interaction
• Introduction to ML and AI  or Foundations of Machine Learning and AI Part I
• Responsible Use of Data and Algorithms

Four graduate-level electives can be selected from a wide variety of courses in Data Science, Computer Science, Statistics and across the University.

The online application portal will begin accepting applications for Fall 2024 admission in early Fall 2023. To ensure full consideration, applicants should apply by the deadline. The program may accept applications after the deadline if the cohort is not filled.

• Skip to Content
• Skip to Main Navigation
• Skip to Search

Indiana University Indianapolis Indiana University Indianapolis IU Indianapolis

• Undergraduate Majors
• Apply to the Accelerated Program
• Master's Degrees
• Doctoral Degrees & Minors
• Minors & Certificates
• General Education
• Artificial Intelligence
• Bioinformatics
• Computer Science
• Data Science
• Health Informatics
• Health Information Management
• Library & Information Science
• Informatics
• Media Arts and Science
• Study Abroad in Greece
• Study Abroad in Finland
• Micro-Credentials
• Freshman Applicants
• Returning Students
• Master's Degree
• Doctoral Program
• Graduate Certificates
• Change or Declare your Major
• Admitted Students
• Student Ambassadors
• Virtual Tour
• Undergraduate Webinars & Information Sessions
• Graduate Student Information Sessions
• Summer Camp
• Earn College Credit
• Biomedical Informatics Challenge
• Computer Science Challenge
• Incoming Undergraduate Scholarships
• Undergraduate Scholarships
• Graduate Scholarships
• Accelerated Program Cost & Aid
• Travel Funding
• Tuition Reduction
• Peer Advisors
• Forms & Policies
• Become a Student Leader
• Student Organizations
• Honors Program
• Laptop Requirements
• Equipment Checkout
• Luddy Knowledge Base
• Student Facility Access
• Biomedical Informatics B.S.
• Health Information Management B.S.
• Informatics B.S.
• Media Arts and Science B.S.
• Bioinformatics M.S.
• Health Informatics M.S.
• Applied Data Science M.S.
• Human-Computer Interaction M.S.
• Master of Library and Information Science
• Media Arts and Science M.S.
• Find a Job or Internship
• F-1 Students & Internships
• Library & Information Science Internships
• Internship Checklist
• Forage: Virtual Job Simulations
• Forage: Earn Credit
• Network with LinkedIn
• Big Interview
• Elevator Pitch
• Cover Letter
• Informational Interview
• Interviewing
• Technical Interviewing
• The Offer Process
• The Negotiation Process
• Freelance Work
• Grant Proposal Writing
• Schedule an Appointment
• Request a Career Services Presentation
• Featured Employer Days
• Resume Reviews
• Portfolio Reviews
• Presentations and Workshops
• Employer Career Fair Registration
• Research Centers & Labs
• Undergraduate Research
• Research Events
• Luddy Strategic Plan
• Meet Fred Luddy
• Faculty Openings
• Faculty Directory
• Staff Directory
• Media Requests
• Contact Admissions
• Request Undergraduate Information
• Request Graduate Information
• Get involved
• Advisory Boards
• Advisory Board
• Department Blog
• Strategic Plan
• Multimedia Stories
• News Archive
• Luddy Leads Blog
• Student Showcases
• LIS Industry Speaker Series

Luddy School of Informatics, Computing, and Engineering

• Alumni & Giving
• Departments
• News & Blog

Discover novel solutions to data research problems

There’s no choice but to lead when you’re breaking new ground. Guide rapid development in an emerging field when you earn our Ph.D. in Data Science.

• Degrees & Courses

Data Science Ph.D.

A dynamic data science environment.

Graduates of our program—the first of its kind in both Indiana and the Big Ten—develop the skills to make pioneering research contributions to data science theory and practice in academic and the industrial sectors.

Our students acquire the skills to develop inventive and creative solutions to data research problems—solutions that demonstrate a high degree of intellectual merit and the potential for broader impact. The Ph.D. curriculum also prepares students to make research contributions that advance the theory and practice of data science.

A leader in data science research

The Data Science Ph.D. Program at IU Indianapolis provides a world-class education and research opportunities. Ph.D. students in the program learn fundamental Data Science methods while pursuing independent, original research in a broad variety of topics, including:

• Novel techniques for Natural Language Processing and Text Analytics.
• Applications of AI to social welfare, digital governance, cultural heritage, biomedical sciences, and environmental sustainability.
• Intelligent conversational agents and models of Human-AI collaboration.
• Data Visualization and Human-Data Interaction.

Meet our faculty

The program is in the midst of a major expansion, with over 50 graduate students joining the program in the past year alone. Multiple faculty in our department have secured high-profile research grants, including three    active   CAREER awards, the National Science Foundation’s most prestigious award for early-career faculty. The IU Indianapolis campus hosts the newly created Institute of Integrative Artificial Intelligence, providing an interdisciplinary nexus between Data Science, AI, and various science and engineering fields.

Sunandan Chakraborty

Assistant Professor, Data Science

Sarath Chandra Janga

Associate Professor, Bioinformatics, Data Science

Leon Johnson

Lecturer, Data Science

Kyle M. L. Jones

Associate Professor, Library and Information Science, Data Science

Bohdan Khomtchouk

Assistant Professor, Bioinformatics, Data Science

Angela Murillo

Assistant Professor, Library and Information Science, Data Science

Saptarshi Purkayastha

Associate Professor, Data Science, Health Informatics

Khairi Reda

Associate Professor, Data Science, Human-Computer Interaction

Elie Salomon

Lecturer, Data Science; Library and Information Science

Ayoung Yoon

Get your questions answered

Request information.

Contact our graduate admissions team and get your questions answered.

Meet our student ambassadors

Get to know our student ambassadors and find out what life at Luddy is like.

Information Sessions

Register for a virtual information session.

Ready to get started?

• Register for an info session
• Learn how to apply

Luddy School of Informatics, Computing, and Engineering resources and social media channels

• Schedule a Visit

Additional links and resources

• Degrees & Majors
• Scholarships

Happening at Luddy

• Pre-college Programs

Information For

• Current Students
• Faculty & Staff Intranet

Luddy Indianapolis

The Master of Science in Data Science (MSDS) is a professional master’s degree program. The residential MSDS full-time program begins with the second summer session, continues into the Fall term, and concludes at the end of the following Spring term (11 months in total). The online MSDS part-time program may be started in the Fall or Spring and can be completed in five semesters. 

Prerequisite Requirements

An applicant must hold a bachelor’s degree conferred by an accredited college or university. Proof of degree conferral issued by the undergraduate institution is required before an admitted applicant may start the program. Degree conferral is defined as official certification and confirmation of the date of degree completion from the undergraduate institution’s Student Records or Registrar office and is typically signified by receipt of a diploma or degree certificate and/or an official final transcript.

Regardless of the applicant’s undergraduate degree or major, completion of the following prerequisite courses are required:

• Single variable calculus
• Linear algebra or matrix algebra
• An introductory statistics course
• An introductory programming course

Prerequisite knowledge may be obtained through summer session courses at UVa, courses at another institution, online, or other forms of instruction as approved by the Office of Admission.

Prospective students must complete all parts of the application and submit it by the stated deadlines on the program website. Upon matriculation to the graduate program, the applicant must provide official transcripts of their baccalaureate record and any graduate-level work completed, and all official reports for test scores on their application.

Applicants whose first language is not English must complete the Test of English as a Foreign Language (TOEFL), which is administered by ETS, or the International English Language Testing System (IELTS). The minimum TOEFL (iBT) score requirement is 100 (including minimum section scores of 22 in speaking, 22 in writing, 23 in reading and 23 in listening). The minimum IELTS score requirement is 7.0 (including minimum section scores of 6.5). This requirement is typically waived for applicants who will have received a baccalaureate degree or its international equivalent entirely from a college or university in which English is the primary language of instruction.

Masters Degree

The degree of Master of Science will be conferred upon the holder of an approved baccalaureate degree who has fulfilled within the designated time limit all requirements set forth in the Graduate Record.

Academic Requirements

MSDS students must complete a minimum of 32 graded credits, which include 26 graded credits in core MSDS courses and 6 graded graduate-level elective credits with a grade of B- or higher. 

The requirements of the master’s degree must be completed in the original modality of study to which the student applied. Students are not permitted to deviate from their original modality of study unless for extenuating circumstances or compelling reasons. Approval is conditional on School resources such as enrollment limits. Petitions are granted upon approval of each MSDS program director and the Associate Dean for Faculty & Academic Affairs.

A student’s elective courses are selected in consultation with the program manager and program director. Additional discipline-specific requirements for the master’s degree are noted in the entries for the specific program.

Time Limitation

All requirements for the master’s degree must be completed within five years from the first term of enrollment.

MSDS Core Requirements

Course Requirements for the MSDS Program:

Computer Science

• CS 5012 - Foundations of Computer Science Credits: 3
• DS 5100 - Programming for Data Science Credits: 3

Linear Models

• STAT 6021 - Linear Models for Data Science Credits: 3

Practice and Application

• DS 6001 - Practice and Application of Data Science Credits: 3

Ethics of Big Data  

• DS 6002 - Ethics of Big Data I Credits: 2

Capstone (3 credits required)

• (   DS 6011 - Data Science Capstone Project Work I Credits: 1
• DS 6013 - Data Science Capstone Project Work II Credits: 1 to 3 )
• DS 6015 - Data Science Capstone Credits: 1 to 3

Data Mining and Machine Learning

• DS 6030 - Statistical Learning Credits: 3
• DS 6050 - Deep Learning Credits: 3

Bayesian Machine Learning

• DS 6040 - Bayesian Machine Learning Credits: 3

Electives (Residential Modality)

Students must select two courses (six credits minimum) of elective coursework in the spring term. Selection of elective courses is done in consultation with the program director. There are a variety of electives available, including (but not limited) to those listed below. Elective courses must be at the 5000-level or higher to count for elective credit. 

• CS 6160 - Theory of Computation Credits: 3
• CS 6444 - Introduction to Parallel Computing Credits: 3
• CS 6501 - Special Topics in Computer Science Credits: 3

      (Topics approved by SDS)

• CS 6750 - Database Systems Credits: 3
• DS 5001 - Exploratory Text Analytics Credits: 3
• DS 5110 - Big Data Systems Credits: 3
• DS 5111 - Data Engineering Credits: 3
• ECON 7720 - Econometrics II Credits: 4
• ECON 8720 - Time Series Econometrics Credits: 3
• EVSC 7070 - Advanced Use of Geographical Information Systems Credits: 3
• GCOM 7240 - Advanced Quantitative Analysis Credits: 3
• PHS 7310 - Clinical Trials Methodology Credits: 3
• PSYC 5720 - Fundamentals of Item Response Theory Credits: 3
• PSYC 7760 - Introduction to Applied Multivariate Methods Credits: 3
• SARC 5400 - Data Visualization Credits: 3
• STAT 6250 - Longitudinal Data Analysis Credits: 3
• STAT 6260 - Categorical Data Analysis Credits: 3
• SYS 6023 - Cognitive Systems Engineering Credits: 3
• SYS 6050 - Risk Analysis Credits: 3
• SYS 6582 - Selected Topics in Systems Engineering Credits: 1 to 3 (Topics approved by SDS) 
• SYS 7001 - System and Decision Sciences Credits: 3

Electives (Online Modality)

Students must select two courses (six credits minimum) of elective coursework. There are a variety of possible electives available, including (but not limited) to those listed below. Elective courses must be at the 5000-level or higher to count for elective credit in the program unless further approval is obtained.

• DS 5400 - Business Analytics for Data Science Credits: 3
• DS 5559 - New Course in Data Science Credits: 1 to 4

Requirements for the MSDS/MBA Combination (Formerly “Dual”) Degree Program

The School of Data Science offers a combination (formerly termed “dual”) degree program with the University of Virginia Darden Graduate School of Business Administration, in which the student may obtain the MS in Data Science (MSDS) degree and the Master of Business Administration (MBA) degree in two years, instead of the three years that would be required if each were undertaken separately.  All MSDS/MBA students complete a minimum of 60 credits for the MBA and a minimum of 32 credits for the MSDS. Students who complete all coursework to the satisfaction of each respective school and meet the graduation requirements of each school will be awarded two degrees: the Master of Science in Data Science and the Master of Business Administration.

Core Computer Science

Core Statistics

Core: Practice and Application of Data Science I & II

Core: Ethics of Data

Core Capstone Work

Core Systems & Information Engineering

Core Bayesian Machine Learning

Darden Required Courses  grade of B- or higher required

• GBUS 7351 - Decision Analysis Credits: 1.5
• GBUS 7352 - Decision Analysis - Part II Credits: 1.5

Elective: 5000-level or higher, at least 3 credits

Transfer Credits

The graduate programs normally require students to complete all requirements of the program during their period of enrollment in the program at the University of Virginia. Students must receive prior approval for transfer credit from the program director; if the course was taken prior to enrollment in the M.S. in Data Science, the student should make the formal request using the Transfer Credit Request form.

Students who enter the University of Virginia specifically as non-degree seeking School of Data Science students may apply up to 6 credits to the M.S. in Data Science program.  The 6 credits are limited to courses within the M.S. in Data Science curriculum.

• My UCalgary
• Class Schedule
• UCalgary Directory
• Continuing Education
• Active Living
• Academic Calendar
• UCalgary Maps
• Close Faculty Websites List Viewing: Faculty Websites
• Cumming School of Medicine
• Faculty of Arts
• Faculty of Graduate Studies
• Faculty of Kinesiology
• Faculty of Law
• Faculty of Nursing
• Faculty of Nursing (Qatar)

Faculty of Science

• Faculty of Social Work
• Faculty of Veterinary Medicine
• Haskayne School of Business
• School of Architecture, Planning and Landscape
• School of Public Policy
• Schulich School of Engineering
• Werklund School of Education
• Future Students
• Explore programs
• How to apply
• Understanding graduate studies
• Indigenous graduate students
• Financing grad school
• International students
• Graduate Student life
• Current Students
• Indigenous Graduate Students
• Newly Admitted
• Graduate Orientation
• Pre-arrival
• Registration
• Annual Registration
• Concurrent Registration
• Flexible Grading Option (CG Grade)
• Confirmation of registration
• Course registration
• Leave of absence
• Registration status
• Studying at another university
• Updating personal information (included preferred name)
• Thesis-based students

Fees and funding

• Understanding your fees
• Paying your fees
• Funding options
• Payment plan
• Supervision
• Best practices and guidelines
• Conflict of interest
• Changing supervision
• Academic integrity
• Annual progress report
• Intellectual property
• Building a thesis
• Submit your thesis
• Conducting oral exams remotely
• Thesis defence
• Course-based Students
• Academic Integrity
• Sources of funding
• Payment Plan
• NEW: Term-Based Registration
• Completing my degree
• Important dates and resources
• Forms and documents
• Service Requests and eForms
• News, updates and events
• Find your Graduate Program Administrator
• Calendar Archives
• Award Opportunities
• Graduate Awards Database
• Award opportunities
• Doctoral Recruitment Scholarships
• Award Guide
• Step 1: Applying
• Looking for awards
• Eligibility
• Preparing your application
• Step 2: Receiving
• Accept/Decline your award
• Getting paid
• Step 3: Managing your award
• Renewing your award
• Award interruption
• Award Termination
• Policies and Regulations
• Regulations
• Contact the Scholarship Office
• My GradSkills
• Academic Success
• My GradSkills Partners
• Communication Skills
• Research Communications Feedback Sessions
• Oral communication
• Visual communication
• Written communication
• Experiential Learning
• Internships
• For employers
• For graduate students
• Finding an internship
• Making your internship a TTI
• Applying for a TTI
• For graduate supervisors
• Images of Research
• Three Minute Thesis
• 2024 UCalgary 3MT Finalists
• 2024 3MT Finals' Hosts and Judges
• Past Three Minute Thesis Videos
• Workshops and Resources
• Career planning and professional development resources
• My GradSkills Calendar
• My GradSkills Workshop Matrix
• Online/Virtual Training
• UCalgary Alumni Mentorship Program
• Exceptional scholars
• What I wish I knew
• FGS Services
• Supervisory Renewal
• Supports for graduate students
• Graduate Academic and International Specialists
• Graduate supervisors
• Thesis and candidacy exams
• Supervisor resources
• Maintaining your supervisor profile
• Supervisory privileges
• Leadership team
• FGS Council
• Committees of Council
• Minutes and meetings
• Website Feedback

Data Science and Analytics

Course-based program, program overview.

The Diploma in Data Science and Analytics offers students the opportunity to advance their careers and gain skills for the new digital economy. Designed for working professionals, the curriculum emphasizes collaboration, experiential learning and team building to solve data-driven challenges.

Students will learn interdisciplinary data collection and examination techniques, data visualization, statistical and computational analytics, presentation skills, and how to apply the fundamental core concepts, and tools of data thinking to their work in any industry or sector.

Students who complete the Graduate Diploma in Data Science and Analytics may receive laddering credit for the 24 units of coursework completed in the diploma program if they are subsequently accepted to the Master of Data Science and Analytics within five years of beginning the first credential in the laddering process.

Completing this program

• Courses : Students will take courses on data and visualization, statistical data analysis, statistical modelling with data, and big data management.
• Specialization : Students will take four courses in their chosen specialization.

Specializations

• Business Analytics
• Data Science
• Financial and Energy Markets Data Modelling
• Health Data Science and Biostatistics

Technology sector, business start-ups, computer science research, business analysis, human resources, healthcare, marketing.

A diploma in Data Science and Analytics is usually considered a final degree.

Eight courses

Learn more about program requirements in the Academic Calendar

Classroom delivery

Time commitment.

Eight months, or four months for students laddering from the certificate program. Maximum completion time of three years.

No supervisor is required

See the Graduate Calendar for information on  fees and fee regulations,  and for information on  awards and financial assistance .

Virtual Tour

Explore the University of Calgary (UCalgary) from anywhere. Experience all that UCalgary has to offer for your graduate student journey without physically being on campus. Discover the buildings, student services and available programs all from your preferred device.

Admission requirements

A minimum of 3.0 GPA on a 4.0 point system, over the past two years of full-time study (a minimum of 10 full-course equivalents or 60 units) of the undergraduate degree.

Minimum education

A four year baccalaureate degree, or equivalent from a recognized institution. The successful completion of the following undergraduate courses: computer programming or computer science, statistics or equivalent, and calculus or linear algebra.

Work samples

Transcripts

Prerequisite Learning PDF

Reference letters

Test scores, qualifications.

In exceptional circumstances, individuals who do not meet formal academic requirements but who have significant life achievement may be considered for admission to this program. Such candidates may also be asked for an in-person interview with the Program Director. Please contact the program for details.

English language proficiency (ELP)

An applicant whose primary language is not English may fulfill the English language proficiency requirement in one of the following ways:

• Test of English as a Foreign Language (TOEFL iB T including TOEFL iBT Home Edition)  minimum score of 86 (Internet-based, with no section less than 20).
• International English Language Testing System (IELTS)  score of 6.5 (with no section less than 6.0).
• Cambridge C1 Advanced or Cambridge C2 Proficiency  minimum score of 180.
• Pearson Test of English (PTE)   score of 59 or higher
• Canadian Academic English Language test (CAEL)  overall score of 70 (no section less than 60).
• Academic Communication Certificate (ACC)  minimum of B+ in each course.
• Duolingo English Test  obtaining a minimum score of 125 (with no sub-score below 105).

*Please contact your program of interest if you have any questions about ELP requirements.

Winter Admission

• September 1 : International applicants
• December 1 :  Canadian/Permanent Residents

Fall Admission

• November 1:  Application start
• March 26:  Deadline for International applicants
• July 12:  Deadline for Canadian/Permanent Residents

If you're not a Canadian or permanent resident, or if you have international credentials, make sure to learn about international requirements

Are you ready to apply?

Learn more about this program, data science and analytics graduate program.

Science A 229, 2500 University Drive NW

Calgary, AB, T2N 1N4

Contact the Graduate Program Administrator

Visit the departmental website

University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4

Visit their website

Learn more about UCalgary by taking a virtual tour

Related programs

If you're interested in this program, you might want to explore other UCalgary programs.

Course-based Certificate

Community Health Sciences

Thesis-based MSc

Thesis-based PhD

Community Medicine

Course-based MCM

Computer Science

Thesis-based DBA

Course-based EMBA

Course-based GEMBA

Thesis-based MBA

Course-based MBA

Course-based MMgmt

Medical Science

Neuroscience, curious about the university of calgary.

Located in the nation's most enterprising city, we are a living, growing and youthful institution that embraces change and opportunity with a can-do attitude.

College of Science

• UTA Planetarium
• Degree Programs
• Departments
• Financial Aid
• College Info
• Be A Maverick

A love of marine biology and data analysis

Thursday, May 09, 2024 • Katherine Egan Bennett :

Kelsey Beavers’ love of the ocean started at a young age. Coming from a family of avid scuba divers, she became a certified junior diver at age 11.

“It was a different world,” Beavers said. “I loved everything about the ocean.”

After graduating from high school, the Austin native moved to Fort Worth to study environmental science at Texas Christian University. One of her professors at TCU knew University of Texas at Arlington biology Professor Laura Mydlarz and encouraged Beavers to continue her studies in Arlington.

“Kelsey came to UTA to pursue a Ph.D. and study coral disease, and she quickly got involved in a large project studying stony coral tissue loss disease (SCTLD) , a rapidly spreading disease that has been killing coral all along Florida’s coast and in 22 Caribbean countries,” Mydlarz said. “She has been a real asset to our team, including being the lead author on a paper we published in Nature Communications last year on the disease.”

As part of her doctoral program, Beavers completed original research studying the gene expression of coral reefs affected by SCTLD. Her research involved scuba diving off the coast of the U.S. Virgin Islands to collect coral tissue samples before returning to the lab for data analysis.

“What we found was that the symbiotic algae living within coral are also affected by SCTLD,” Beavers said. “Our current hypothesis is that when algae move from reef to reef, they may be spreading the disease that has been devastating coral reefs since it first appeared in 2014.”

A large part of Beavers’ dissertation project involved crunching large sets of gene expression data extracted from the coral samples and analyzing it in the context of disease susceptibility and severity.

“The analysis part of the project was so much larger than just using a regular Mac, so I worked with the Texas Advanced Computer Center (TACC) in Austin, which is part of the UT System, using their supercomputers,” Beavers said.

Beavers enjoyed the data analysis part of her project so much that when she saw an opening at TACC for a full-time position, she jumped at the chance. She’s now working there part-time until graduation, when she plans to move to Austin for her new role.

“I’m really looking forward to my new position, as I’ll be able to work on research projects other than my own,” she said. “It will be interesting to be a specialist in data analysis and help other scientists use the TACC supercomputers to solve complex questions.”

As part of the job, she’ll travel to other UT System campuses to educate researchers on how they can use the tools available at TACC.

The UTA College of Science, a Carnegie R1 research institution, is preparing the next generation of leaders in science through innovative education and hands-on research and offers programs in Biology, Chemistry & Biochemistry, Data Science, Earth & Environmental Sciences, Health Professions, Mathematics, Physics and Psychology. To support educational and research efforts visit the  giving page , or if you're a prospective student interested in beginning your #MaverickScience journey visit our  future students page .

News & Events

• Events Calendar
• Be a Maverick
• Give to the College

COLLEGE OF SCIENCE

Life Sciences Building, Room 206 501 S. Nedderman Drive Box 19047 Arlington, TX 76019

Social Media

Phone: 817-272-3491 Fax: 817-272-3511 Email: [email protected]

Certificates & Licensures

Certificates provides credentialed expertise in a field of study, demonstrating to employers that you have in-demand skills.

Program director: Terra Hamblin | [email protected]   Application deadlines: Rolling; For Fall 2021, apply by August 1 Credits: 18 Program info:   Addiction Treatment website

Additional program-specific admission requirements:

• Undergraduate degree in a Social Science

Associate Dean for graduate programs:   Stephanie DeBoor |  [email protected] Application deadlines: March 1 (Fall) | Oct 1 (Spring) Credits: 30 Program info:   Adult Gerontology Acute Care website

• Overall GPA 3.0 or better
• Must have graduated from a CCNE, NLN, or ACEN accredited MSN program
• Possess an unencumbered RN License and/or eligibility for licensure in Nevada
• 3 Ps (Advanced Pathophysiology, Advanced Pharmacology, Advanced Physical/Health Assessment). The 3Ps will be reviewed by the Associate Dean for Graduate Programs and/or the specialty Track Leader. Students may have to repeat any or all of the 3Ps pending review.
• Letter of intent
• Curriculum Vitae/resume
• Three letters of recommendation

Associate Dean for graduate programs: Stephanie DeBoor | [email protected] Application deadlines: March 1 (Fall) | Oct 1 (Spring) Credits: 15 Program info: Clinical Nurse Leader website

• Must have graduated from a CCNE or NLN accredited MSN program
• Possess an unencumbered RN License and eligible for licensure in Nevada

Program Director: Weston Morrow | [email protected] Application deadlines: July 15 (Fall) | Dec 15 (Spring) Credits: 18 Program info: Criminal Justice catalog listing

• A bachelor's degree from an accredited university with an overall GPA of 3.0

Program Contact: Shamik Sengupta | [email protected] Application deadlines: July 31 (Fall) | Dec 10 (Spring) Credits: 12 Program info: Cybersecurity website | Cybersecurity faculty

• Bachelor's degree from an accredited academic institution
• Transcripts (separate from the official transcripts required by the Graduate School)
• Curriculum Vitae
• Statement of purpose is recommended

Program Contact: Jennifer Mortensen | [email protected] Application deadlines: May 15 (Fall) Credits: 29 (21 if practical experience is applicable) Program info: Early Childhood Education Teacher Licensure website

• Undergraduate degree in Human Development and Family Science (or related field)
• Undergraduate pre-requisites: EDES 300, EDU 205, EDU 207, HDFS 201, HDFS 250, HDFS 431b, HDFS 435
• Undergraduate GPA of 3.0 or better

Additional program-specific admission recommendations:

• Candidate Professional Behaviors and Dispositions Form
• Personal essay
• At least one letter of recommendation
• Praxis Core Academic Skills for Educators (CORE) Reading (score > 155), Writing (score > 161), and Mathematics (score > 149) score sheet (or California Basic Educational Skills score sheet).

Program director: Julie Pennington | [email protected] Application deadlines:  March 15 (Fall) | Oct 15 (Spring) Program info: College of Education  | COEHD Graduate Assistantships

• Education Disposition Statement
• Two letters of recommendation
• A one-page statement of purpose addressing the following question: How will the Reading Specialist Certificate enhance your ability to support the literacy development of K-12 students

To align with state requirements for Reading Specialist Endorsement, our Certificate Program also requires:

• A master’s degree completed, or in process
• Three years of verified teaching experience in state-approved schools
• A valid elementary or secondary teaching license

Program contact:  Jess Gallo | [email protected] Application deadlines: Aug 1 (Fall) | Oct 15 (Spring) Credits: 28-31 Program info: Secondary Education Licensure website

• Earned bachelor’s degree with and overall GPA of 2.75 or better
• Signed disposition sheet (NCATE set of beliefs in place in the College of Education)
• An essay of three to five pages
• Resume or curriculum vitae
• The candidates needs to meet pre-professional Praxis I testing requirements.

Program Contact: David Rondel | [email protected] Application deadlines: Rolling; For this coming Fall, apply by August 1 Credits: 12 Program info: Ethics, Law and Politics website

• Writing sample

Associate Dean for graduate programs: Stephanie DeBoor | [email protected] Application deadlines: March 1 (Fall) | Oct 1 (Spring) Credits: 17-33 Program info: Family Nurse Practitioner website

• Possess an unencumbered RN license and be eligible for licensure in Nevada

Program Director:  Deborah Boehm |  [email protected] Application deadlines: May 1 (Fall) | Nov 1 (Spring) Credits: 12 Program info: Gender, Race and Identity Certificate website | GRI faculty

• Statement of purpose

A Certificate in Geographic Information Systems and Science (GIS) is offered through the Department of Geography. Students obtaining the GIS Certificate will learn the tools, methods, and software necessary to manage and analyze spatial data and information and conduct appropriate analysis. This certificate is recommended for students interested in employment in either the public or private sector as a GIS or Remote Sensing Analyst, Cartographer, Planner, or students interested in pursuing graduate studies in Geography or a related field where use of geospatial science and technologies are included.

• Undergraduate Certificate in Geographic Information Systems and Science (GIS), Course Catalog

Program Contact: Miles Greiner | [email protected] Application deadlines: Fall: Aug 16 | Spring: Jan 11 Credits: 9 Program info: Nuclear Packaging website

• An earned baccalaureate degree in mechanical, materials, nuclear or a closely-related engineering field, or a baccalaureate degree and background in project management related to packaging of nuclear and other radioactive materials.

Associate Dean for graduate programs: Stephanie DeBoor | [email protected] Application deadlines: March 1 (Fall and Summer) | Oct 1 (Spring) Credits: 17 Program info: Nursing Education website

• Must have graduated from a CCNE or NLN accredited MSN program with a 3.0 or better

Associate Dean for graduate programs: Stephanie DeBoor | [email protected] Application deadlines: March 1 (Fall and Summer) Credits: 15 Program info: Pediatric Acute Care Nurse Practitioner

• Successful completion of a Master’s of Science in Nursing from a CCNE or NLN academic institution with a GPA of 3.0 or better
• Current unrestricted/unencumbered licensure as an RN in Nevada and be eligible for licensure in Nevada

Associate Dean for graduate programs: Stephanie DeBoor | [email protected] Application deadlines: March 1 (Fall) Credits: 23-38 Program info: Psychiatric-Mental Health Nurse Practitioner website

• Must have graduated from a CCNE or NLN accredited BSN program with a GPA of 3.0 or better
• APRN Track only: Must have graduated from an accredited MSN program and hold national certification and licensure as an APRN
• Possess an unencumbered RN License and be eligible for licensure in Nevada
• An interview may be required

Program Contact:  Praveen Kumar Durgampudi|  [email protected] Application deadlines: Rolling Credits: 10 Program info: Public Health Management and Analysis catalog listing | Online public health certificates website

• A bachelor's degree

Program Contact:  Praveen Kumar Durgampudi | [email protected] Application deadlines: Rolling Credits: 10 Program info:   Public Health Management catalog listing | Online public health certificates website

Program Contact: Praveen Kumar Durgampudi |  [email protected] Application deadlines: Rolling Credits: 10 Program info: Public Health Program Development catalog listing | Online public health certificates website

Program Contact: Victor Vasquez | [email protected] Application deadlines: Aug 16 (Fall) | Jan 10 (Spring) Credits: 12 Program info: Renewable Energy website

• Undergraduate degree in engineering, business management, liberal arts or a related field
• Personal Statement

Program Contact: Jennifer Lanterman | [email protected] Application deadlines: March 1 (Fall) | Nov 1 (Spring) Credits: 12 Program info: Social Justice website

• Undergraduate degree

Program Director: Cary Groth  |  [email protected] Application deadlines: June 1 (Fall only) Program info: Sports Management Executive Certificate Website

• Undergraduate degree from an accredited institution (an official copy of the transcripts should be submitted to the Graduate School)
• Recommended Minimum undergraduate GPA of 2.75
• A copy of your current resume
• A letter of recommendation

Request more information about sports management

Program Contact: Edward (Ned) Schoolman | [email protected] Application deadlines: Rolling Credits: 12 Program info: Study of History website

• A Bachelor's degree in a humanities or social science; a bachelor's degree in Education; or Teaching Credential
• Students pursuing the graduate certificate of Studies in History must satisfy all of the graduate school requirements for admission as a Graduate Special
• Read the History department bulletin

Program Contact: Rod Case | [email protected] Application deadlines: Rolling Program info: TESOL website Credits: 15

• An overall undergraduate GPA of 2.75 or better on a 4-point scale
• Letters of recommendation from one professional qualified to judge your aptitude for teaching
• A statement of your personal goals related to TESOL
• Transcripts of previous college work
• Students already admitted to a graduate program at the University must also submit approval for admission to the GC-TESOL from the Chair of their Advisory/Examining Committee in lieu of the letter of recommendation.
• Candidates who graduated from a non-US university and whose native language is not English must have a TOEFL score of at least 550 or 79 on the Internet Based TOEFL
• International students must have a J-1 visa or be concurrently enrolled in another graduate degree program in order to participate in the GC-TESOL

Program Contact: Miles Greiner | [email protected] Application deadlines: Fall: Aug 16 | Spring: Jan 11 Credits: 9 Program info: Transportation Security and Safeguard website

• An earned baccalaureate degree in mechanical, materials, nuclear or a closely-related engineering field, or a baccalaureate degree and background in project management related to packaging of nuclear and other radioactive materials