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7 Best Universities in Canada to Study Ph.D. in Data Science

A Ph.D. degree is the highest academic qualification anyone can earn. And with Harvard Business Review declaring data scientist to be the sexiest job of the 21 st century, a Ph.D. in Data Science should probably be called the sexiest university degree of the century.

Universities in Canada, like the ones in other highly advanced countries, are offering such degrees in abundance. Here, we have listed the seven best Canadian universities that offer a Ph.D. degree in Data Science.

Top Schools Offering Ph.D. in Data Science Programs in Canada

1. university of british columbia.

• Tuition Fees | Scholarships

Beginning its journey over a hundred years ago, the University of British Columbia (UBC) offers higher education to nearly 65,000 students, including over 17,000 international students.

It has two main campuses sited in Vancouver and Okanagan of the province of British Columbia. It is recognized as one of the top 40 universities in the world and top three universities in Canada by a number of major university rankings.

Nobel laureates like economist Robert Mundell and physicist Bertram Brockhouse are a couple of notable alumni.

UBC’s Department of Computer Science administers a Ph.D. in Computer Science program. Its research areas include a number of concepts relevant to Data Science like Data Integration, Text Mining, Web Databases, and Optimization.

It is an on-campus program that is only available in a full-time format. It takes place at the Vancouver campus and can be completed within three to five years.

2. HEC Montréal

HEC Montréal is actually not a university; rather, it is a graduate school of the Université de Montréal. Founded in 1907, the business school currently has over 14,000 students.

All of its classes take place in its two buildings in Montreal, Quebec: the Côte-Sainte-Catherine building and the Decelles building.

Despite being a French-language institution, it also offers programs that have English as the medium of instruction.

Louis R. Chênevert, the former CEO of United Technologies Corporation and president of Pratt & Whitney, graduated from this institution.

HEC Montréal offers a Ph.D. in Administration – Data Science program in collaboration with three other universities: McGill University , Concordia University , and Université du Québec à Montréal (UQAM). The partnership provides students with access to resources from all four Montreal-based institutions.

The English-language program requires 90 credits to be completed in full-time study mode. The duration of the program is typically four to five years.

3. University of Waterloo

Next on our list of universities in Canada with a Ph.D. in Data Science is the University of Waterloo . Founded in 1957, the University of Waterloo (UWaterloo) has a student population north of 40,000.

Around 20 percent of all undergraduate students and 40 percent of all graduate students have come from outside Canada. According to U.S. News and World Report Best Global Universities 2019, the university located in Waterloo is Canada’s best for Computer Science and second-best for Engineering.

It is the alma mater of Rasmus Lerdorf, the programmer who authored the first two versions of the PHP scripting language.

UWaterloo’s Ph.D. in Computer Science includes research areas like Databases, Information Retrieval, and Machine Learning that are relevant to the field of Data Science.

Students may take on this on-campus program in either full-time or part-time study mode. Admission takes place thrice a year at the start of the academic terms Fall, Winter, and Spring.

4. University of Alberta

The University of Alberta is a top-tier Canadian research university based primarily in Edmonton, the capital of Alberta. It was established in 1908, the same year that UBC came into being. The total student enrolment stands at over 40,000.

Nobel-winning physicist Richard E. Taylor and former Canadian prime minister Joe Clark graduated from this university.

Alberta’s Department of Computing Science runs a Ph.D. in Computing Science that has a wide range of research areas. A few of them, including Database Systems and Machine Learning, are related to the field of Data Science.

There’s also a Ph.D. in Statistical Machine Learning offered by the department in collaboration with the Department of Mathematical and Statistical Sciences. These are full-time programs that are ideally completed within five years.

5. Dalhousie University

Founded over two hundred years ago, Dalhousie University (Dal) is one of the oldest universities in the Great White North. Its student population is around 19,000, which includes nearly 4,000 international students representing over 115 nationalities.

Each of its three campuses is located in Halifax, the capital of Nova Scotia. The university is the alma mater of Nobel-winning astrophysicist Arthur B. McDonald, Canadian PMs R.B. Bennett, and Brian Mulroney, as well as former Xerox Corporation CEO and chairman Charles Peter McColough.

Dal offers a Ph.D. in Computer Science which allows students to specialize and develop deep expertise in Data Analytics. The Faculty of Computer Science’s Big Data Analytics & Machine Learning research cluster, which is based in the Institute for Big Data Analytics, helps students to conduct independent and original research. The Ph.D. program takes around three to four years to complete.

6. University of New Brunswick

The University of New Brunswick (UNB) started off in 1785 as Canada’s first English-language university. It has two campuses: one situated in New Brunswick’s capital Fredericton, and the other in the port city of Saint John in the same province. The university has more than 10,000 students hailing from over 100 countries. It was recognized as the country’s most entrepreneurial university in 2014 by Startup Canada.

UNB’s Faculty of Computer Science offers a Ph.D. in Computer Science one of the many research areas is Data Management, Analytics, and Mining. The program can be completed in three years. While it is ideally a full-time program, students could be permitted to take on the program on a part-time basis under certain conditions.

7. Ryerson University

Beginning its journey in 1948 as a postsecondary institute with merely 250 students, Ryerson University has grown into a full-fledged university with over 45,000 students.

It is located in Toronto, Ontario, and is the province’s most applied-to university relative to available accommodation.

Four Seasons Hotels and Resorts founder and chairman Isadore Sharp and former Maple Leaf Sports & Entertainment president and COO Tom Anselmi are a couple of its notable alumni.

Ryerson’s Faculty of Science administers a Ph.D. in Computer Science which provides students with the option of specializing in Data Science and related subjects like Machine Learning and Data Mining. The nominal duration of the thesis-based program is three years. The format for this program is full-time.

FAQS About Studying Ph.D. in Data Science

Which university in canada is best for a ph.d. in data science.

When it comes to Canada, the University of British Columbia would probably be your best pick for getting a Ph.D. in data science. Requiring nearly 5-6 years of your time, this professional degree program will challenge its students to analyze data from a wide range of domains while allowing each student to solve real-world problems created by partnered businesses.

How Long Does It Take to Earn a Ph.D. in Data Science?

If you want to graduate with a Ph.D. in data science, the time required ranges from 4 years to 9 years, depending on the person. To go down this track, you would probably apply for a Doctor of Philosophy in Computer Science and take the track of data analysis, which is a major part of data science.

If you just want to complete a Master’s degree in data science, you only need to spend 10 months of your time in this accelerated professional degree program. Analyzing data from a real-world environment, the experience that you would get from these types of programs would be second to none!

We hope that this article on universities in Canada with Ph.D. in Data Science was helpful. Make sure to also check out our  Data Science Programs for International Students  for some of the currently open data science courses around the world!

About the Author: Hyun Lee

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PhD in administration - Data Science

Phd in administration — data science.

• Tuition fees and Funding

Are you planning on a career in academia or business in the field of data science? Join a community of professors and researchers with valuable, recognized expertise.

Your PhD in short

• Offered by HEC Montréal jointly with Concordia and McGill universities and the Université du Québec à Montréal (UQAM). This partnership gives you access to resources (faculty and courses) rarely available elsewhere in the world.
• Full-time program allowing you to complete your studies in four or five years.
• Tuition fees waived and competitive funding for the first four years of your studies.

For a fascinating career

“Whereas many PhD programs aim exclusively at academic careers, HEC’s approach satisfies both academic interests and professional education.” Walid Mathlouthi, PhD. Data Science Consultant

“The PhD program allowed me to build solid knowledge of data science methods that enables me to solve complex problems with rigor and success, and also to contribute to innovation in the industry.” Marie-Hélène Roy, PhD. Lead Data Scientist – Age of Learning, California

“The teaching and support I received during my PhD studies at HEC Montréal were of such high quality that I couldn’t help but succeed.” Ahlem Hajjem, PhD. Professor at ESG UQAM

Among the best

The professors associated with this doctoral specialization have authored over 400 scientific papers in the top journals, including:

• Bioinformatics
• Journal of the American Statistical Association
• Statistical Methods in Medical Research

Be part of research innovations

Many of the professors in this specialization are members of MILA , Montréal’s world-renowned centre for artificial intelligence research.

Varied research interests

Methodology.

• Artificial intelligence
• Bayesian statistics
• Big data mining
• Data mining
• Deep learning
• Machine learning
• Non-parametric methods
• Recommendation systems

Applications

• Analytics of urban environments
• Network analysis
• Traffic safety
• User experience (UX)

Our PhD students and candidates

See the list of students in this specialization on Google Scholar

An exceptional research milieu

The eleven professors mainly associated with the doctoral specialization in Data Science have substantial research funds at their disposal to assist students. 

Eight of them hold chairs or professorships:

• FRQ-IVADO Chair in Data Science: Professor Aurélie Labbe
• Canada CIFAR Chair in Artificial Intelligence: Professor Laurent Charlin
• Canada CIFAR Chair in Artificial Intelligence: Professor Jian Tang
• Research Professorship in Complex Networks: Professor Gilles Caporossi
• Research Professorship in Data Science: Professor Denis Larocque
• Research Professorship in Statistics: Professor Debbie J. Dupuis
• Professorship in Pedagogical Innovation in Active Learning of Statistics in Management: Professor Chantal Labbé
• Professorship in Pedagogical Innovation in the Gamification of Learning for Data Science: professor Jean-François Plante

Marc Fredette is principal collaborator at the NSERC-Prompt Industrial Research Chair in User Experience .

Researchers in this specialization work closely with several research groups and knowledge transfer hubs, including:

• Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT)
• Centre de recherches mathématiques (CRM) (Mathematics research centre)
• Group for Research in Decision Analysis (GERAD)
• Montreal Institute for Learning Algorithms (MILA)

In addition, HEC Montréal is an institutional member of the Canadian Statistical Sciences Institute (CANSSI) .

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Specializations

Phd in analytics.

This specialization offers a wide variety of courses in Analytics, Operations Research and Operations Management to expose students to the latest methods, recent modeling approaches and current issues in the general areas of operations and decision making.

Year 1	Credits
	3
	3
or elective	3
/ (Offered alternate years, both required for PhD)	3
/ (Offered alternate years, both required for PhD)	3
or Elective	3
Major Research Project (MGMT 989)	3
Present First Year Projects at annual Smith Grad Student Consortium

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Year 2	Credits
	1.5
Elective	3
or (Offered alternate years, both required for PhD)	3
/ (Offered alternate years, both required for PhD)	3
Elective	3
Present Current Status of Thesis Proposal at Smith Grad Student Consortium
	3

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Research Associate - Chemical Plastic Recycling in a Continuous Reactor, 50% FTE (1 Year Term)

into production processes. •    Analyze data from online devices to assess reaction progress and make necessary adjustments to optimize yields. •    Develop and maintain calibration protocols for online analytical

Sessional Lecturer-MHI2007H - Quantitative Skills in Health Informatics

clinical data sciences. The emphasis will be placed on the fundamental of clinical data sciences, related skills and conceptual understanding of data analytics techniques (Regex, SQL, RapidMiner). The goal

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to discuss the position and/or receive your application. To apply, please send your CV and cover letter through Workday. About Dr. Fontaine and the RISE³ Lab Dr. Guillaume Fontaine, PhD , RN, is an Assistant

Research Assistant/Technician 3 - Kizhakkedathu Lab

results under the supervision of a senior researcher Assists senior level staff and senior PhD students with the design of experiments and/or development of new techniques for laboratories or facilities

Postdoctoral Fellowship in Palliative Care and Long-Term Care, St. Thomas More College

applied research project related to healthcare communication. Attending scientific networking workshops/conferences. Minimum Qualifications: Doctoral degree ( PhD , MD, MD/ PhD , or equivalent). A doctoral

Dhillon School of Business Tenure Track Assistant Professor (Accounting)

teaching and research interests in managerial accounting and data analytics /digital transformation, though individuals with teaching and research interests in financial accounting and data analytics /digital

Postdoctoral Fellow - Biomarker Diagnostics for Neurodegenerative Disorders

will lead the technological design, analytical validation and clinical evaluation of biofluid diagnostics to support early and accurate diagnosis neurodegenerative proteinopathies. The laboratory has a

Postdoctoral Fellowship in Descalzi Lab – University of Guelph

publications Instruction and support for graduate-level students in the lab What You’ll Bring To The Role: PhD or MD/ PhD in neuroscience or related field obtained in the last 5 years. PhD students in the last

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Image Processing and Computer Vision Specialist

expertise to meet growing industry needs in the areas of image analytics , computer vision, AI, automation and control, and advanced data processing. We are looking for someone who can use their knowledge and

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Intelligent Systems and Data Science (PhD)

Faculty of Mathematics and Science PhD

The PhD in Intelligent Systems and Data Science (ISDS) is a thesis-based program that targets the need for highly qualified scientists to tackle challenges in artificial intelligence & machine learning, integrated smart systems, modern software systems, statistical/mathematical modelling & analytics, and big data infrastructure.   

The program is offered jointly by the Department of Computer Science and the Department of Mathematics and Statistics .   

Graduates will proceed to research and/or teaching careers in academia, industry, government, and the community.  

Our Ph.D. in Intelligent Systems and Data Science is unique in many ways:

• The degree title and focus areas are distinct throughout Ontario and Canada.
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• The program allows students to gain experience in developing and applying advanced AI algorithms, complex software systems, data analytics tools, and statistical models.

For more information on Faculty Research, please visit the following pages: Computer Science Faculty Research Mathematics and Statistics Faculty Research

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• Thesis – 12 terms (4 years)

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Applications submitted after the deadline may be looked at on a first-come, first-served basis. International applicants interested in applying after the posted application deadline should contact the program for details on availability.

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We have 19 data science PhD Projects, Programmes & Scholarships in Canada

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data science PhD Projects, Programmes & Scholarships in Canada

Dalhousie University

Halifax is home to leading tech research

Funded fellowship opportunities in Computer Science Education

Funded phd programme (students worldwide).

Some or all of the PhD opportunities in this programme have funding attached. Applications for this programme are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full programme details for further information.

Canada PhD Programme

A Canadian PhD usually takes 3-6 years. Programmes sometimes include taught classes and training modules followed by a comprehensive examination. You will then carry on to research your thesis, before presenting and defending your work. Programmes are usually offered in English, but universities in Québec and New Brunswick may teach in French.

Funded fellowship opportunities in Big Data Analytics, Artificial Intelligence and Machine Learning

Algorithms, data structures and computational geometry, phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Funded PhD Project (Students Worldwide)

This project has funding attached, subject to eligibility criteria. Applications for the project are welcome from all suitably qualified candidates, but its funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Multimodal Data Integration in Livestock Farming through Artificial Intelligence

Funded fellowship opportunities in algorithms and bioinformatics, advanced algorithm design for inferring evolution, design of high-performance quantum thermoelectrics using experimental and computational techniques, hci and ubicomp impoving quality of life, experimental reactive fluid mechanics for aerospace applications, funded fellowship opportunities in systems, detection, prediction, and prevention of cyber-attacks on critical infrastructure, security for healthcare internet of things, enabling massive wireless connectivity for the internet of things, smartfarm: the ultimate animal care dashboard, text mining using deep language models and conversational ai.

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Visualize a career in data science and analytics.

Data is at the heart of the digital landscape.

Using the power of data, we can see the world in groundbreaking new ways – driving improvements in everything from healthcare to finance.

UCalgary’s Data Science and Analytics graduate program is one of Canada’s leading data training courses. Whether you’re looking to start a career in data or move up to a more senior role, this program is your gateway to a future in one of the world’s fastest-growing fields.

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• Opening soon for both International and Domestic students. 

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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: Thursday, September 19, 2024 Time:  12:00 - 1:00 p.m. (MT)

Location:   University of Calgary Downtown Campus Room 234, Second Floor  906 - 8 Avenue SW, Calgary

Be the First Scholarship

The Be the First  Scholarship is designed to accelerate opportunities in high-demand digital fields. It offers up to $12,000 toward tuition in the Data Science and Analytics graduate programs at UCalgary.

All Canadian citizens and permanent residents who apply for the Fall 2024 term and meet the program entry requirements will automatically receive the Be the First  Scholarship. To learn more, contact our recruitment team.

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Start a career in the in-demand fields of Data Science, Business Analytics, Health Data Science and Biostatistics, and Financial and Energy Markets Data Modelling. Become the go-to person in your workplace to work with data sets, make data-driven decisions, create visualizations and use business acumen to tackle problems.

Optimize your career with a 4-course certificate taught by the University of Calgary’s top data scientists.

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Earn a graduate credential  and complete an internship in the multidisciplinary Master of Data Science and Analytics program.

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Find out how MDSA program alum, Adrian Mitchell, pivoted their career from the energy sector to health!

There is no better time than the present to get training in Data Science and Analytics. The job field is still very new, so job opportunities are diverse. The program was an accelerated way to start building those skills. It allowed me to get a bit of a head start.

Tim Cruz, BComm’18

2021 graduate - Master of Data Science; 2019 graduate - Data Science & Analytics Diploma

Tim Cruz leveraged the Data Science and Analytics diploma program to make the most of new opportunities in Calgary's tech economy.

Do you have a question about the program? Get in touch

Graduate programs

In our Data Science programs, you will study the application and development of methods that facilitate insight from available data in order to understand, predict, and improve business strategy, products and services, marketing campaigns, medicine, public health and safety, and numerous other pursuits. 

Frequently asked questions (FAQ)

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25 Universities in Canada offering Postgraduate Data Analysis degrees and courses

More Information

Are you looking for Postgraduate courses in Data Analysis? Here you can find course providers offering full-time, part-time, online or distance learning options.

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Toronto Metropolitan University

THE World Ranking: 601

Saskatchewan Polytechnic

Bow valley college.

Conestoga College

Okanagan College

Southern Alberta Institute of Technology (SAIT)

Trent University

Simon Fraser University

THE World Ranking: 251

Georgian College

The University of Winnipeg

University of the Fraser Valley

Brock University

• British Columbia
• New Brunswick
• Saskatchewan
• Study level:
• Postgraduate
• Graduate Certificates & Diplomas
• Masters Degrees
• Pre-masters
• Study mode:
• Online/Distance

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• Subject Data Analysis
• Qualification Postgraduate
• Destination Canada
• Study options
• Annual tuition fees

Subject areas

Qualification, destination.

Data Science and Analytics (MSc)

Program Overview

Format : One year full-time or two year part-time (MRP option) and two year full-time (Thesis option)

Delivery: Fully virtual, or combination of virtual and in-person courses

Degree Earned : Master of Science

This unique Master of Science (MSc) degree program enables students to develop interdisciplinary skills, and gain a deep understanding of technical and applied knowledge in data science and analytics. Graduates are highly trained, qualified data scientists who can go on to pursue careers in industry, government or research. The program is offered as a one year full-time or two year part-time MRP option and two year full-time Thesis option.

The MSc in Data Science and Analytics is delivered in both lecture-based and hands-on lab learning environments where students can develop and apply their skills to complex, real-world datasets and data science and analytics problems.

At a Glance

Admissions information.

• Completion of a four-year undergraduate (or equivalent degree) from an accredited institution in engineering, science, business, economics or a related discipline
• Minimum grade point average (GPA) or equivalent of 3.00/4.33 (B) in the last two years of study
• Statement of interest
• Transcripts
• Two letters of recommendation
• English language proficiency requirement

More information on  admission requirements . Due to the competitive nature of our programs, it is not possible to offer admission to everyone who applies that meets the minimum entrance requirements for the program. 

Program-specific requirements

Prospective students are expected to demonstrate working knowledge of statistics, data structures and algorithms, databases and R software packages. These prerequisites can be documented through prior completion of university or college level degree credit courses equivalent to the following courses that are offered at the G. Raymond Chang School of Continuing Education at Toronto Metropolitan University: 

• CIND 123 : Data Analytics: Basic Methods (formerly CKME 132: Statistics and R Programming)
• CIND 110 : Data Organization for Data Analysts (formerly CKCS 110: Database Management)

CIND830  Python Programming for Data Science

Check Application Deadline

Students are encouraged to submit applications prior to the first consideration date to increase their chances of securing financial support for their graduate studies. Applications received after the first consideration date will be accepted and reviewed based on spaces remaining in the program.

See application dates .

Financing Your Studies

For detailed graduate tuition and fees information please visit  Fees by Program .

For information on scholarships, awards and financing your graduate studies visit  Financing Your Studies.

Skills Developed

• Domain knowledge
• Machine learning
• Operations research
• Programming

Sample Courses

• Advanced Data Visualization
• Bayesian Statistics and Machine Learning
• Data Mining and Prescriptive Analysis
• Designs of Algorithms and Programming for Massive Data
• Interactive Learning in Decision Processes
• Machine Learning
• Management of Big Data and Big Data Tools
• NLP (Text Mining)
• Social Media Analytics

Data Science and Analytics (MSc) graduate program calendar

• Students can apply to participate in DMZ programming, where they have the opportunity to create their own startups or work with companies engaged in big data and data science.
• Students may have direct access to various international partners and/or exchange programs to enhance their learning experience.
• Toronto Metropolitan University’s Big Data Initiative (BDI) spans many academic units and research areas. The Data Science Laboratory, RC4 High Performance Computing Facility, and Privacy and Big Data Institute are part of Toronto Metropolitan University's cross-university BDI agenda to develop new tools and apply them to advance organizational performance across sectors.
• The program engages with various industry and government partners from diverse domains.

Graduate Admissions

Admissions information and how to apply

Graduate Studies Admissions Office 11th Floor, 1 Dundas Street West Toronto, ON Telephone: 416-979-5150 Email:  [email protected]

For information specific to programs, please see the program contact information below.

Program Contacts

Dr. Ayse Bener Graduate Program Director PhD, Information Systems, London School of Economics Research areas: machine learning, recommender systems and big data applications Telephone:  416-979-5000 ext. 553155 Email:  [email protected]

Igor Rosic Graduate Program Administrator Telephone: 416-979-5000 ext. 553693 Email:  [email protected]

Student Profile  (external link) 

Marcia Hon (data science and analytics MSc alumna) reflects on how the program propelled her career to land a job with the Centre for Addiction and Mental Health.

Find curriculum, course descriptions and important dates for Data Science and Analytics (MSc).

Once you’ve made an informed choice about which program(s) you are going to apply to, preparing your application requires careful research and planning.

At Toronto Metropolitan University, we understand that pursuing graduate studies is a significant financial investment. Funding comes from a combination of employment contracts (as a teaching assistant), scholarships, awards and stipends. There are a number of additional funding sources – internal and external – available to graduate students that can increase these funding levels.

As an urban innovation university, Toronto Metropolitan University offers 60+ cutting-edge, career-oriented graduate programs, as well as 125+ research centres, institutes and labs, in a wide range of disciplines. Our close connections with industry, government and community partners provide opportunities to apply your knowledge to real-world challenges and make a difference.

College of Engineering

Data analytics engineering.

The Master of Science in Data Analytics Engineering offers students an opportunity to train for industry jobs or to acquire rigorous analytical skills and research experience to prepare for a doctoral program in health, security, and sustainability at Northeastern University.

The Department of Mechanical and Industrial Engineering offers the Master of Science in Data Analytics Engineering in order to meet the current and projected demand for a workforce trained in analytics. While the core courses for this program are offered by the College of Engineering, elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern. The program is designed to enable graduating students to address the growing need for professionals who are trained in advanced data analytics and can transform large streams of data into understandable and actionable information for the purpose of making decisions. The key sectors that require analytics professionals include healthcare, smart manufacturing, supply chain and logistics, national security, defense, banking, finance, marketing, and human resources.

This degree program seeks to prepare students for a comprehensive list of tasks including collecting, storing, processing and analyzing data, reporting statistics and patterns, drawing conclusions and insights, and making actionable recommendations.

More Details

Unique features.

• Core courses for this program are offered by the College of Engineering, while elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern
• Program designed to enable graduating students to address the growing need for professionals who are trained in advanced data analytics

Program Objectives

The MS in Data Analytics Engineering is designed to help students acquire knowledge and skills to:

• Discover opportunities to improve systems, processes, and enterprises through data analytics
• Apply optimization, statistical, and machine-learning methods to solve complex problems involving large data from multiple sources
• Collect and store data from a variety of sources, including Internet of Things (IoT), an integrated network of devices and sensors, customer touch points, processes, social media, and people
• Work with technology teams to design and build large and complex SQL databases
• Use tools and methods for data mining, big-data algorithms, and data visualization to generate reports for analysis and decision-making
• Create integrated views of data collected from multiple sources of an enterprise
• Understand and explain results of data analytics to decision makers
• Design and develop analytics projects
• The research project/thesis course is a requirement for students taking the Data Analytics Engineering program in Vancouver

Career Outlook

Vancouver, British Columbia (BC) and Canada nationally has seen a substantial increase in demand for professionals with advanced analytics competencies that are at the core of the MS DAE program, including roles for data engineers, data scientists, and big data specialists. In recent years, BC has seen explosive growth in demand for digitally skilled talent, with some of the world’s largest employers rapidly hiring for data engineering, data science, big data and advanced analytics roles.

As one of the top cities for fastest growth of tech talent in North America, Vancouver has over 100,000 people working in tech, and 10,000+ companies and growing, including Microsoft, Amazon, SAP, Salesforce, Apple, Electronic Arts, Hootsuite, Slack, and more.

A recent ICTC report highlights data scientists and data analysts as two of the 15 top digital jobs that will be most needed in Canada. (Digital Talent Outlook 2023, Information and Communications Technology Council [ICTC])

Program Accredidation

This program is offered under the written consent of the Minister of Advanced Education effective November 29, 2021, having undergone a quality assessment process and been found to meet the criteria established by the minister. Nevertheless, prospective students are responsible for satisfying themselves that the program and the degree will be appropriate to their needs (for example, acceptable to potential employers, professional licensing bodies, or other educational institutions).

For International Students 

This program is eligible for a Canadian Study Permit and Post Grad Work Permit (PGWP). For more information on studying in Canada—including how to apply for a Study Permit—please visit our  Office of Global Services’ Canadian Campuses page .

Looking for something different?

A graduate degree or certificate from Northeastern—a top-ranked university—can accelerate your career through rigorous academic coursework and hands-on professional experience in the area of your interest. Apply now—and take your career to the next level.

Program Costs

International Students Tuition rate for International (Non-Canadian Resident) : $46,464 CAD

How to Apply Learn more about the application process and requirements.

Requirements

• Completed online application form
• Application fee
• Two letters of recommendation
• The Foreign Credential Evaluation (FCE) is a required assessment of all transcripts and documents from non-U.S. accredited post-secondary education institutions. (Review the FCE requirements by country.)
• GRE is not required for terms starting during the 2023-2024 or 2024-2025 academic years
• Statement of purpose
• TOEFL, IELTS, or Duolingo for international applicants

Are you an International Student? Find out what additional documents are required to apply.

Admissions Details Learn more about the College of Engineering admissions process, policies, and required materials.

Admissions Dates

Applications received after the stated deadline dates will be accepted and processed as quickly as possible; however it may not be possible to have a decision rendered in time for the applicant to begin taking classes for the desired term if admitted.

Applications submitted by the referenced dates will receive full consideration for the referenced term. Applications received after the referenced dates will be considered on a case-by-case basis.

Fall Admissions Deadlines

International student deadline outside the US:	June 1
International student deadline inside the US:	July 1
Domestic student deadline:	August 1

Industry-aligned courses for in-demand careers.

For 100+ years, we’ve designed our programs with one thing in mind—your success. Explore the current program requirements and course descriptions, all designed to meet today’s industry needs and must-have skills.

View curriculum

Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. The cooperative education program, also known as co-op, is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. Through this program, students gain up to eight months of professional experience employed in their field of interest as part of the academic curriculum, giving them a competitive edge upon graduation. The College of Engineering has over 2,000 co-op employer partners globally. Our dedicated team of co-op coordinators prepare students for the co-op experience through resume building, developing interview skills, and guiding professional development.

Our Faculty

Northeastern University faculty represents a broad cross-section of professional practices and fields, including finance, education, biomedical science, management, and the U.S. military. They serve as mentors and advisors and collaborate alongside you to solve the most pressing global challenges facing established and emerging markets.

Sagar Kamarthi

By enrolling in Northeastern, you’ll be connected to students at our 13 campuses, as well as 300,000-plus alumni and more than 3,500 employer partners around the world. Our global university system provides you with unique opportunities to think locally and act globally and serves as a platform for scaling ideas, talent, and solutions.

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Graduate Certificate in Data Analytics

At a glance.

• Credential: graduate certificate
• Credits: 12
• Next start: see program details

Get the technical skills and tools you need to analyze, manage and use data with Athabasca University’s online Graduate Certificate in Data Analytics.

Be a part of the AU student community

A journey of a thousand miles starts with a single step. Sign up to receive more information from AU and start your education with us.

About Graduate Certificate in Data Analytics

At Athabasca University, our online Graduate Certificate in Data Analytics equips you with essential technical skills for analyzing, managing, and utilizing data. The program emphasizes a team-based approach focused on solving real-world analytical problems, covering everything from communication and collaboration to data mining and programming. Plus, you'll be sharing the virtual classroom with students from our Master of Science in Information Systems (MScIS) program, giving you a diverse and enriching learning experience.

Admission requirements

Admission requirements include a baccalaureate degree in a related area or equivalent education and experience.

Program details

Tuition and fees, career options.

Get the technical skills and tools you need to analyze, manage and use data with Athabasca University's online Graduate Certificate in Data Analytics.

The Graduate Certificate in Data Analytics program uses a team-based model, and aims at solving real-world analytical problems. You will gain skills in:

• communication
• idea sharing
• collaboration
• integrative thinking
• object structure and programming
• data mining
• learning and knowledge analytics

As Graduate Certificate in Data Analytics courses are part of the Master of Science in Information Systems (MScIS) program , you will take your courses with MScIS students.

Application deadlines and start dates

Application deadline	Start date
March 1	Oct. 1
Every Sept.	Every Jan.

Most courses are online grouped study, with defined start and end dates

The Graduate Certificate in Data Analytics is a 12-credit online graduate program. You must complete at least 6 credits through Athabasca University.

Routes and options

Ladder to a degree.

Once you have completed the Graduate Certificate in Data Analytics, you may apply to the Master of Science in Information Systems program. If you're admitted within 7 years, your Graduate Certificate in Data Analytics credits may be applied towards the Master of Science in Information Systems degree.

Completion times

Finish this program in as little as 1.5 years of full-time study. You can take up to 2 years to complete all requirements.

Understanding how higher education fees and tuition are calculated is important to ensure you stay within your budget and make informed decisions.

Financial aid and awards

We're dedicated to supporting your academic goals and committed to helping you overcome financial barriers by providing many funding and award options.

The following fees are effective Jan. 1, 2024, to Aug. 31, 2024. All fees are quoted in Canadian dollars and are subject to change. Academic-related fees are exempt from the Federal Goods and Services Tax (GST). GST is added to all other goods and services, such as workshops, publications, self-help seminars, and Athabasca University promotional sale items.

program application and admission fees

Program application fee (non-refundable) required each time a person applies:	$184
Program admission fee (payable upon acceptance into the program and non-refundable)	$255
Non-program application fee (non-refundable) required only once:	$116

fees in Canada and out

Students living in Canada	$1,986
Students living outside Canada	$2,232

1 Graduate Certificate in Data Analytics (GCDA) Course Tuition fees now include a Course Administration and Technology fee of $167, a Course Materials fee of $35 per course, and the Athabasca University Graduate Students Association (AUGSA) fee of $14 per credit.

Estimated program tuition cost (2023 - 2024):

The total tuition cost for a student living in Canada who takes all courses from Athabasca University would be $7,944 ($1,986 x 4, three-credit course equivalents). AUGSA fees, the Course Administration and Technology fee, and the Course Materials fee are included in the above calculation. Application and admission fees are not included.

other fees

Transfer credit evaluation fee:	$325/course
Supplemental examination fee:	$116
Course extension fee:	$312
Program extension fee. Same as course tuition fees (see above).
Letter of Permission fee:	$93
Western Deans' Agreement administration fee (non-AU visiting students)	$250/course
Course withdrawal processing fee :	$423
AU Graduate Student Association fee (per credit)	$14
The course withdrawal processing fee is a mandatory administrative fee charged when a student withdraws from a course. For early withdrawal only, the student will be refunded the full course tuition fees (see above) less the course withdrawal processing fee. Refer to .

Fee information effective Jan. 1, 2024, to Aug. 31, 2024.

In this program, you'll complete four courses that employ a team-based approach to tackle real-world analytical issues. Your studies will cover a broad range of skills, from communication and collaboration to technical abilities like data mining, using software tools like R, SAS, and Tableau.

To complete the program you will need to fulfill all the general requirements of the Graduate Certificate in Data Analytics.

Our program regulations plans can give you an idea of what courses you need to finish this program. If you're feeling stuck, our academic advisors can help.

Program regulations

Courses to explore

Below are some of the courses that our students take in this program. Please consult an advisor to confirm any course planning , as some of these courses may not apply to you.

Focus areas

After completing the Graduate Certificate in Data Analytics, you'll be well-equipped for various career paths in fields like health care, business, and education where data-driven decision-making is key. You could find opportunities as a data analyst, business intelligence specialist, or even move into managerial roles where analytical skills are highly valued.

Depending on your experience and goals, some careers may include:

• data analyst
• business intelligence analyst
• business analyst
• data scientist
• data architect
• operations analyst
• quantitative analyst
• research analyst
• analytics manager
• systems analyst
• project manager with a focus on data analytics
• data visualization specialist
• statistical analyst

Resources and links

Additional information that you need to know about AU and this program.

Program resources

• Visit program website
• Apply online
• View Calendar

Additional resources

• The AU Advantage
• View program listings

Program contact

• Toll free: 1-855-362-2870
• Email program

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2025 Graduate Program- Data Analytics & AI

Req Id: 420232

At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It's all developed and delivered by the members of #TeamBell and we're always on the lookout for people with great skills and experiences.

We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

Join us. You belong at Bell.

Launch your career at Bell and join the best-in-class Graduate Program. You'll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you'll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You'll develop real-world skills through Bell U, our exclusive learning platform and join other grads attending exclusive events and networking opportunities.

At Bell, you'll have the opportunity to make a meaningful difference, using your most innovative ideas to bring the best digital connections and experiences to Canadians.

• Benefit from a continuous learning environment including formal and experiential training and development opportunities to help you excel in your roles.
• Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable customers to do more.
• Refine your analytical, project management, and communication skills with hands-on, real-world experiences to fast-track your career.
• Learn from a supportive Executive Team and be mentored by experienced #TeamBell leaders.
• Expand your network as you work with the industry experts, including our amazing peer-to-peer grad and alumni support network.

As a new graduate, be on the cutting-edge of Bell's transformation in critical technologies such as Cloud, AI/ML and Data. You will have access to the latest software and tools, collaborating with teams across Bell for process improvement and automation. Your day-to-day experience will see you offering actionable insights to influence business decisions and key technology investments across Bell.

Leveraging the country's largest voice, data, and wireless network, you will lead end-to-end solutions, to support the aspirations of our customers. Our unique and accelerated program will not only give you extensive knowledge and experience working on complex business issues, it will also enable you to develop your leadership skills. Upon completion of the program, you will have the knowledge, skills, network, and breadth of experience to help transform the organization and become the next generation of leaders at Bell.

Within our Data Analytics & AI function, we have several opportunities available. For more details on each of the below roles, click here .

• Data Scientist
• Data Analyst
• Data Engineering
• Business Intelligence Analyst
• Machine Learning Engineering
• AI Project/Product Manager
• You have a Bachelor's or Master's degree in Computer Science, Physics, Mathematics, Engineering, Business Analytics, or a related field.
• Alternatively, you may hold a college diploma or postgraduate certificate in a STEM-related field, completed before the program start date and within three years before your application date.
• You have less than three years of combined professional experience, excluding past internship experiences.

Technical Skills (you have some of the following)

• You have experience with various databases systems (Hadoop, Microsoft SQL Server, Teradata, SAS, and Oracle).
• You are experienced in using reporting and data visualization tools (Microstrategy, Tableau, Python and Dash).
• You have familiarity with cloud concepts, AI/ML models, and ML frameworks (frameworks (HuggingFace, Pytorch, TensorFlow, Scikit-learn, H2O, etc.).
• You have certifications or hands-on experience with GCP, Azure, AWS.
• You have knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue.
• You gain the trust of your teams, being known for demonstrating fairness and respect.
• You promote belonging and are flexible, accountable and collaborative.
• You are analytical and an exceptional problem-solver with a curiosity to understand "how things work".
• You can identify insights and opportunities from data and metrics and are able to create strategies to support sound recommendations.
• You can simplify complex issues, make good and timely decisions, and be an accountable member of a team.
• You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell's customers.
• You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
• You are committed to growing your skills and learning from others.
• Your leadership qualities have been demonstrated through extracurricular activities and projects.

#EmployeeReferralProgram

Adequate knowledge of French is required for positions in Quebec.

Additional Information: Position Type: Management Job Status: Grad Hire Job Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Quebec : Montreal Work Arrangement: Hybrid Application Deadline: 11/03/2024

For work arrangements that are 'Hybrid', successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you'll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you'll feel valued, respected and supported as you grow and reach your full potential.

We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or [email protected] to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy ( see Phenom for details ) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Mississauga

#CampusAI24

Bell, one of Canada's Top 100 Employers .

About Bell Canada

At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.

Join us. You belong at Bell

Save now, apply later.