Top 10 Colleges in Canada for Master of Data Science fo 2027 Intake
For Indian students seeking a world-class education in data science, combined with a welcoming multicultural environment, Canada is an excellent choice. Canadian universities are renowned for their strong academic programs.
Pursuing a Masters in Data Science in Canada offers Indian students a globally recognized STEM degree, access to tech hubs in Toronto, Vancouver, and Montreal, and direct pathways to permanent residency. Under Immigration, Refugees and Citizenship Canada (IRCC) regulations, university Master’s graduates are eligible for a 3-year Post-Graduation Work Permit (PGWP), regardless of course duration.
- Average Program Duration: 10 to 24 Months (Course-based with Co-op / Capstone options).
- Total International Tuition: CAD 38,000 to CAD 78,000 (~INR 24 Lakh to 49 Lakh total program fee).
- Master of Data Science colleges in Canada: The University of British Columbia, University of Toronto, and McGill University are among the top 10 universities for Master of Data Science in Canada
- Average Starting Salary: CAD 82,000 to CAD 105,000 per year (NOC 21211 to Data Scientists).
- PR Immigration Advantage: Awards 30 CRS bonus points for a Canadian Master's degree and qualifies for targeted Express Entry STEM category draws.
Canadian universities are well reputed in the world for quality of studies and a friendly environment for Indian students.This article provides all the essential details you need to know about the top 10 Master of Data Science colleges in Canada today.
- Why Study a Master's in Data Science in Canada?
- Masters in Data Science in Canada Highlights
- Best Universities for Data Science in Canada
- Admissions to Masters in Data Science in Canada
- Cost of Studying MS in Data Science in Canada
- Scholarships for MS in Data Science in Canada
- Master of Data Science Colleges in Canada FAQs
Why Study a Master's in Data Science in Canada?
Studying Master in Data Science in Canada offers several advantages to international students. Check out some reasons to study Data Science in Canada:
- Quality Education: Universities in Canada are well known for providing high-quality education.
- Industry Exposure: Canada has a flourishing IT industry and several multinational corporations.
- Job Prospects: Demand for Data Science specialists in Canada is considerable. It is expected to rise more in the coming years.
- Canadian Post-Study Work Permit: Canada provides a post-graduation work visa that allows Indian students to work in Canada.
Masters in Data Science in Canada Highlights
Before we move on to the individual universities in Canada for a Master's in data science, it is vital to look at the highlights of MS in data science in Canada. The table given below provides the highlights of Master's in data science in Canada for international students:
| Feature | Details |
|---|---|
| Program Duration | 8 months to 24 months (Full-time) |
| Admission Intakes |
|
| Annual Tuition Fee | CAD 20,000 to CAD 60,000 (approx. INR 12L to 37L) |
| English Proficiency | IELTS (6.5+), TOEFL (88+), or PTE |
| Standardized Tests | GRE is often optional (Required for top tiers like UBC/UofT) |
| Average Base Salary | CAD 79,000 to CAD 95,000 per year |
| Top Recruiters | Google, Amazon, Shopify, RBC, Microsoft, Deloitte |
| Visa Benefit | Eligible for up to 3 Years of Post-Graduation Work Permit (PGWP) |
Best Universities for Data Science in Canada
Canada is a global powerhouse for Artificial Intelligence and big data, home to some of the world's highest-ranked technical institutes. Choosing among the top data science colleges in Canada ensures you gain access to cutting-edge research facilities and tech hubs like Toronto, Montreal, and Vancouver. These are among the most popular student cities in Canada. These universities offer smartly designed programs that blend computer science with statistical analysis to prepare you for high-demand roles.
| Universities | 1st-Year Tuition Fees (in lakh) | Eligibility |
|---|---|---|
| The University of British Columbia | 32.34 |
|
| University of Toronto | 34.22 |
|
| McGill University | 27.67 |
|
| Queen’s University | 43.17 |
|
| University of Western Ontario | 34.42 |
|
| HEC Montreal | 21.09 |
|
| Simon Fraser University | 21.09 |
|
| Ryerson University (Toronto Metropolitan University) | 15.78 |
|
| Carleton University | 16.5 |
|
| University of Waterloo | 21.33 |
|
Predict your IELTS, TOEFL, and PTE in just 4 steps!
Admissions to Masters in Data Science in Canada
Students applying for Master’s programs in Canada must meet university admission requirements. Requirements may vary by university and course.
Documents Required for MS Admission in Canada
- Bachelor’s degree and transcripts
- IELTS / TOEFL / PTE scores
- Statement of Purpose
- Letters of Recommendation (LOR)
- Resume or CV
- Internship or project details
| Master’s Admission Requirements in Canada | |
|---|---|
| Educational Qualification | Four-year Bachelor’s degree with academic transcripts |
| Academic Subjects | Mathematics, Statistics, Programming, Linear Algebra, Calculus (course dependent) |
| English Language Tests | IELTS Academic, TOEFL iBT, or PTE Academic |
| Explains academic background, projects, and career goals | |
| Letters of Recommendation (LOR) | Usually 2 to 3 recommendations from professors or employers |
| Resume / CV | Updated profile with internships, projects, and work experience |
Cost of Studying MS in Data Science in Canada
The cost of studying for an MS in Data Science in Canada can vary. The average tuition fee for pursuing Masters in Data Science in Canada is around CAD 40,000 per year. Here are some finer details of the top universities:
- The University of Toronto: CAD 73,500 (per year)
- McGill University: CAD 9,864 (per year)
- The University of British Columbia: CAD 52,126 (per year)
- University of Alberta: CAD 9,406 (per year)
- University of Waterloo: CAD 7,696 (per term)
Scholarships for MS in Data Science in Canada
Scholarships are an excellent way to reduce your overall cost of studying Masters in Data Science in Canada. A list of scholarships has been mentioned on our website. Some of the scholarships are given below:
- Narotam Sekhsaria’s Scholarships: It is applicable for Master’s Degrees at all universities in the USA, Canada, etc.
- Jared J. Davis Grant: Maximum scholarship amount per student is USD 1,000.
- QS Scholarship for Academic Excellence: The maximum scholarship amount per student is USD 10,000.
- Ritchie-Jennings Memorial Scholarship: Maximum scholarship per student is USD 10,000.
For help with university applications, students seeking to study abroad can contact our Shiksha Study Abroad Counsellors. The comments section below allows candidates to contact us as well.
Master of Data Science Colleges in Canada FAQs
Commonly asked questions
Tuition fees usually range from CAD 20,000 to CAD 60,000 per year. You also need money for daily life. Plan to spend between CAD 19,000 and CAD 30,000 a year on living costs. This amount depends on city you choose. Some universities are cheaper than others. For example, McGill and Alberta cost less than Toronto or UBC
No, GRE is not mandatory for all universities. Top institutions like University of Toronto and UBC often require. Many universities like Simon Fraser University, Ryerson (TMU), and Carleton University make it optional or waive it if you have a high GPA and relevant work experience.
To study MS in Data Science in Canada:
- A 4-year bachelor's degree.
- It should be in Computer Science, Math, or Engineering.
- You need good grades. Around 70% to 75% (3.0 GPA).
You must also prove your English skills. An IELTS score of 6.5 is the common standard.
Big universities accept DET. University of Toronto, McGill University and UBC are top universities. Even York University takes the score. Always check with the official website first, just don't guess.

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The article above mentions the top 10 colleges. For more universities, you can check this link: https://studyabroad.shiksha.com/canada/universities
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Raj Vimal is an education writer and editor with over 8 years of experience. He helps Indian students find the right universities, visas, and courses abroad. Currently, he leads content strategies at InfoEdge India
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