As data-driven decision-making and problem-solving become increasingly important across industries such as business, advertising, sports, entertainment, and medicine, the need for professionals who can work with data remains significant.
Massive amounts of data are generated and collected every day around the world, and there is a need to study, apply, and develop methods to gain valuable insights from this data. This is where data scientists come in. Their knowledge and skills are used to understand, predict, and improve decisions and processes based on insights extracted from data.
Current Government of Canada labor-market data is more measured than older shortage estimates: Canada’s Job Bank projects that labor demand and labor supply for data scientists will be broadly in line nationally from 2024 to 2033, while data-related skills remain relevant across many sectors.
With Canada offering a strong economy, a high standard of living, and first-rate education, this country is an excellent choice for students wishing to pursue tertiary education in data science.
Ontario is Canada’s most populous province, home to Canada’s capital, Ottawa, and boasts several exceptional universities.
Today, we look into some of the best universities for data science in Canada’s province of Ontario.
Top Schools Offering Data Science in Ontario
1. University of Toronto
Founded in 1827, the University of Toronto (U of T) is set in the center of Toronto, Ontario, one of the most diverse and dynamic cities in the world. This prestigious academic institution is ranked as the best university in Canada and 20th globally in the 2026–27 U.S. News & World Report Best Global Universities rankings. U of T has three campuses: Mississauga, Scarborough, and St. George.
Blending inviting green spaces and historical architecture, the St. George campus is home to U of T’s Faculty of Arts & Science, where students can complete an Honours Bachelor of Science with a Specialist program in Data Science.
U of T is among the best data science universities in Ontario. Its Data Science Specialist program offers advanced study in computer science and statistics and aims to prepare graduates for careers in the data science industry or for postgraduate studies in data science, statistics, or computer science.
The program includes training in statistical reasoning, methods, and inference; in-depth preparation in computer science; and the application of statistics and computer science to analyze large-scale, complex datasets and communicate the results of these analyses.
2. University of Ottawa
Located in Canada’s capital city, the University of Ottawa (uOttawa) has a picturesque downtown campus. Times Higher Education’s 2026 rankings place uOttawa eighth in Canada and tied for 187th in the world.
uOttawa’s Faculty of Engineering and Faculty of Science offer a dual fast-track Bachelor of Science in Mathematics and Bachelor of Science in Computer Science in Data Science. This five-year program is offered in both English and French and aims to provide students with practical, hands-on experience through projects and a Data Science Laboratory.
uOttawa’s program page lists a 92.8% employment rate two years after graduation, and career opportunities for graduates of the program include business intelligence analyst, artificial intelligence specialist, public policy development professional, and data scientist.
3. University of Waterloo
Founded in 1957, the University of Waterloo (UWaterloo) is placed seventh in Canada in the Times Higher Education 2026 rankings. The university also states that it is Canada’s number one university for experiential learning and employer-student connections.
UWaterloo is an outstanding data science school in Ontario. Its Cheriton School of Computer Science offers undergraduate students a Bachelor of Computer Science in Data Science, while its Department of Statistics and Actuarial Science offers a Bachelor of Mathematics in Data Science. These data science programs include core mathematical subjects such as algebra and calculus, as well as courses in statistical and machine learning, computing systems, database management, statistics, and data analytics.
The Master of Data Science and Artificial Intelligence is a professional, coursework-based, on-campus master’s program. Waterloo’s current graduate program page lists a 36-month program length, with part-time registration available in all admit terms and full-time registration for the fall admit term only.
For students looking for a research-based thesis master’s program, UWaterloo offers the Master of Mathematics in Data Science. This program may be completed in four to six terms and consists of four courses and a thesis.
4. Western University
Western University is ranked in the top 1% of universities worldwide by the Center for World University Rankings 2026.
Founded in 1878, Western’s idyllic campus in London, Ontario, combines Gothic-style buildings with modern, LEED-certified structures.
Western’s Master of Data Analytics is a 12-month, full-time, in-person professional master’s program consisting of eight months of coursework followed by a four-month co-op term. The MDA aims to produce graduates ready for analytics-focused careers and offers three streams: Artificial Intelligence; Finance, Banking and Insurance; and Generalist.
The co-op term allows students to use the technical skills they learned during the coursework portion of the program and apply them in a real-world setting.
5. Carleton University
Carleton University is yet another one of the best data science universities in Ontario. Ranked among the top 20 universities in Canada by U.S. News & World Report, it is known as Canada’s Capital University. Based in Ottawa, Ontario, Carleton was established in 1942 as a non-denominational college and later grew to meet postwar educational needs.
The Carleton University Institute for Data Science (CUIDS) offers graduate students a collaborative specialization in data science. Data Science at Carleton University is not offered only as a stand-alone program; it is also available as a specialization that can be taken in combination with a participating master’s degree. Participating programs include fields such as biology, biomedical engineering, chemistry, cognitive science, communication, computer science, economics, engineering, geography, health sciences, history, international affairs, physics, psychology, public policy, and sociology.
Carleton also now offers stand-alone graduate programs in Data Science, Analytics, and Artificial Intelligence, including a two-year master’s route and a four-year doctoral program focused on the technical aspects of data science.
Data scientists turn messy, complex data into useful insights that support important decision-making. As data continues to be collected on a massive scale, the ability to collect, manage, understand, and analyze data remains valuable in many industries, including finance, business, marketing, sports, healthcare, and more.
With several top-class universities in Ontario offering a wide variety of qualifications in data science, Canada is a great choice for budding data scientists. Although labor-market prospects vary by region and economic conditions, Ontario offers strong academic options for students who want to build data science skills.
We hope this article on the best data science universities in Ontario was helpful. If you are interested, feel free to check out the Study in Canada and Available Courses for International Students!
