26 Best Universities for MS in Data Science and Data Analytics in Canada 2026: Ranking, Fees & Deadlines

Canadian universities are globally recognised for their data science programs. They combine strong theoretical foundations with practical, industry relevant projects. Our list is based on global rankings (QS, THE), program reputation, faculty expertise, and return on investment.

Let us understand all about MS in Data Science in Canada.

Canada offers a unique blend of high quality education and a welcoming environment for international students. Here is why you should consider it.

• World Class Education: Canadian degrees are respected globally. Universities like U of T and UBC consistently rank among the world's best.
• Strong Industry Connections: The curriculum is designed with industry input. Many programs include co op terms with leading tech companies.
• Post Graduation Work Permit (PGWP): This permit allows you to gain valuable Canadian work experience for up to three years after you graduate.
• Pathway to Permanent Residency: Canadian work experience makes you a strong candidate for permanent residency through programs like Express Entry.
• High Return on Investment (ROI): While tuition is reasonable, graduating salaries are competitive. This leads to a strong financial return.

Canada boasts many excellent institutions for data science. Here are ten of the best universities for MS in Data Science and Data Analytics in Canada.

• University of Toronto
• University of Waterloo
• University of British Columbia
• Western University
• Queen's University
• University of Saskatchewan
• Carleton University
• Trent University
• Northeastern University (Toronto Campus)
• HEC Montreal

Let us explore each university in Canada for MS in Data Science and Data Analytics.

1. University of Toronto

If you are considering the University of Toronto, you are looking at a globally recognized research powerhouse. Its data science programs are known for their academic rigor and strong connections to both industry and cutting-edge research. You will be learning in a vibrant, multicultural city that is a major tech hub, giving you access to a powerful network and career opportunities. The degree is designed to equip you with deep technical skills that are highly valued by employers worldwide.

2. University of Waterloo

Choosing the University of Waterloo means prioritizing real world experience through its famous co-operative education model. You will alternate between classroom learning and paid work terms, gaining unmatched industry exposure in Canada's tech heartland. This practical approach ensures you graduate not just with a degree, but with a robust resume and a professional network that will give you a significant advantage in the job market.

3. University of British Columbia

The University of British Columbia offers a top tier data science education on one of the world's most beautiful campuses. The program is intensive and fast paced, designed to transform you into a job ready data professional in a short period. Located in Vancouver, a growing tech hub, you will benefit from a strong curriculum and a location that attracts top employers from around the globe.

4. Western University

Western University focuses on creating data driven business leaders. Its programs are designed to provide a strong analytical foundation while emphasizing the application of data science to solve business challenges. You will learn how to translate complex data into actionable insights that drive strategic decisions, making you a valuable asset in any corporate setting.

5. Queen's University

Queen's University offers a management focused approach to analytics, ideal for those who aim to lead data science teams rather than just be individual contributors. The curriculum blends technical skills with business acumen, teaching you how to manage analytics projects and communicate effectively with stakeholders. This is the perfect path for engineers who aspire to leadership roles.

6. University of Saskatchewan

The University of Saskatchewan provides an excellent and more affordable pathway to a quality data science education. You can pursue your studies without the high financial burden, while still benefiting from strong research programs and a supportive learning environment. It is a smart choice for value-conscious students who do not want to compromise on the quality of their education.

7. Carleton University

Carleton University's location in Ottawa, Canada's capital city, provides unique advantages for data science students. You will have access to opportunities in the government sector, tech industries, and numerous research institutions based in the region. The program leverages these connections to offer a practical education aligned with the needs of employers in the national capital region.

8. Trent University

Trent University offers a distinctive, interdisciplinary approach to data science. This is an ideal choice if you are interested in applying data science to specific fields like environmental science, humanities, or social sciences. The program encourages you to use data to solve problems in diverse areas, making it a great fit for students with broad interests.

9. Northeastern University (Toronto Campus)

Northeastern University's Toronto campus brings its highly regarded experiential learning model to Canada. The core of the education is learning by doing, through industry-aligned projects and co op opportunities. This model is designed to ensure you graduate with the practical skills and experience that employers are actively seeking.

10. HEC Montreal

HEC Montreal is a premier business school, offering a unique opportunity for students targeting the Quebec or bilingual job markets. The programs are taught in French and focus on the intersection of data science and business strategy. This combination makes graduates exceptionally strong candidates for roles in Quebec, across Canada, and in international French speaking markets.

Admission to these programs is competitive. You need to meet specific academic and language criteria.

Eligibility Criteria to Study MS in Data Science and Data Analytics at Top Universities in Canada

• A 4 year bachelor’s degree in a relevant field (Computer Science, Statistics, Math, etc.).
• A minimum GPA of 3.0 on a 4.0 scale (or 75-80%).
• Strong background in programming (Python, R), mathematics, and statistics.

Entrance Exams Required to Study MS in Data Science and Data Analytics at Top Universities in Canada

• GRE: Required by some universities (e.g., U of T, Queen's). A competitive score is 310+.
• GMAT: Often required for management focused analytics programs (e.g., Queen's MMA). A competitive score is 600+.

English Proficiency Tests Required by Universities in Canada for MS in Data Science and Data Analytics

• IELTS: Minimum overall score of 6.5, with no band less than 6.0.
• TOEFL iBT: Minimum overall score of 90.

Documents Required to Study MS in Data Science at Top Universities in Canada

• Academic transcripts and degree certificates
• Standardized test scores (GRE/GMAT, IELTS/TOEFL)
• Statement of Purpose (SOP)
• Letters of Recommendation (2-3)
• Updated Resume/CV
• Proof of funds
• Passport copy

Admission Process for Best Universities in Canada for MS in Data Science and Data Analytics

The application process is straightforward but requires careful planning. Follow these steps.

1. Shortlist Universities: Research and choose 5-8 programs that fit your profile and goals.
2. Check Deadlines: Note all application and document submission deadlines.
3. Prepare for Exams: Take required exams (GRE, IELTS/TOEFL) well in advance.
4. Request Documents: Contact your professors and employers for recommendation letters.
5. Draft Your SOP: Write a compelling Statement of Purpose tailored to each university.
6. Fill the Application: Complete the online application form carefully.
7. Submit Fees & Apply: Pay the application fee and submit your application before the deadline.
8. Interview: Some universities may conduct an interview round.
9. Accept Offer: Once you receive acceptance letters, choose your preferred university and pay the deposit.

The total cost includes tuition fees and living expenses. Planning your budget is crucial.

Tuition Fees for MS in Data Science and Data Analytics at Top Universities in Canada

The tuition fees range from CAD 20,000 to CAD 50,000 (INR 12.2L to 30.5L) per year.

Cost of Living in Canada for International Students

The average cost of living ranges from CAD 12,000 to CAD 15,000 (INR 7.3L to 9.1L) per year.

Health Insurance and Miscellaneous Expenses in Canada

The average cost of health insurance is CAD 600 - CAD 900 (INR 36,600 - 54,900) per year. Miscellaneous expenses (books, phone, etc.) can add another CAD 2,000 (INR 1.2L).

Top universities offer scholarships averaging between CAD 5,000 - CAD 20,000 (INR 3L - 12.2L) per year.

The average placement rate for top Data Science universities in Canada is over 90% within six months of graduation.

Job Opportunities After Graduating from Top Universities in Canada for MS in Data Science and Data Analytics

Graduates have a wide range of high paying career options across various industries in Canada.

Choosing the right university is a personal decision that goes beyond rankings. It requires a careful balance between your academic goals, financial capacity, and career ambitions. A structured, step-by-step approach will help you evaluate options effectively.

Step 1: Program curriculum
Review the course structure and ensure it matches your career interests. A curriculum aligned with your goals will provide the right knowledge and skills for your future path.

Step 2: Faculty expertise
Explore the professors’ research areas and teaching focus. A good match can lead to meaningful mentorship and research opportunities.

Step 3: Location and cost
Assess whether you can manage the cost of living in the university’s city along with tuition fees. Factor in housing, transport, and other daily expenses.

Step 4: Co-op/internship opportunities
Check if the program integrates internships or cooperative education. Such opportunities provide real-world experience and boost employability.

Step 5: Alumni network
Look into the strength and engagement of the university’s alumni community. A supportive network can help with mentorship, guidance, and job placements.

Step 6: Your profile
Be realistic about your chances of admission based on your GPA, test scores, and application strength. Applying strategically increases your likelihood of securing a place.

Choosing the right university for an MS in Data Science in Canada can be overwhelming. You are not just selecting a course. You are choosing your future. At Yocket, we understand this.

Our advanced AI tools can help you shortlist universities that perfectly match your profile. Our experienced counselors, many of whom have studied abroad themselves, can guide you through every step. From crafting a winning SOP to preparing for your visa interview, Yocket is here to help.

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