Best Universities in Canada for Data Science [2025 Guide]

Canada is among the top destinations to study Data Science, known for its globally ranked universities, modern labs, and strong career outcomes in AI and analytics. Leading Canadian universities offer Bachelor’s and Master’s in Data Science with a focus on coding, big data, and machine learning.

In this guide, we explore the best universities in Canada for Data Science, along with their key programs, eligibility, and average fees, helping you choose the right path to study and work in Canada’s data-driven future.

Top Universities in Canada for Data Science

Best Canadian Universities for Data Science

University of Toronto

The University of Toronto offers one of the most advanced Data Science programs in Canada, integrating computer science, statistics, and AI. Its strong research focus and ties to the tech industry make it ideal for students aiming for global data careers.

• Best For: Research-focused students interested in advanced analytics and AI.
• Highlights: Strong academic reputation, diverse data science specialisations, and close ties with global tech industries. Offers both undergraduate and graduate pathways with flexible course structures and internship options.

University of British Columbia

UBC’s Master of Data Science (MDS) program is globally recognised for its practical curriculum, real-world projects, and strong career outcomes. Students gain expertise in big data, visualisation, and predictive modelling, which makes it one of the best data science universities in Canada.

• Best For: Students seeking a practical, industry-aligned Data Science education.
• Highlights: Renowned Master of Data Science (MDS) program with hands-on learning, small class sizes, and project-based modules. Excellent post-graduation employability and research opportunities.

McGill University

McGill provides top-tier programs in Data Science and Machine Learning, emphasising analytical thinking and research. Its interdisciplinary approach prepares graduates for roles in technology, healthcare, and finance. With so much to offer, it is among the top Canadian universities for Data Science.

• Best For: Students aiming for interdisciplinary learning and strong academic credentials.
• Highlights: Combines Data Science, Machine Learning, and Business Analytics. Offers collaborative research options and access to global data innovation networks for career advancement.

University of Waterloo

Known for innovation and co-op education, Waterloo offers programs combining Data Science, AI, and Computer Science. Among the best universities in Canada for MS in data science, students who study here gain real-world experience through internships and partnerships with major tech firms.

• Best For: Students who value innovation, internships, and real-world experience.
• Highlights: The co-op education model allows paid work experience during study. Integrates Data Science with Computer Science, AI, and entrepreneurship, ideal for tech-driven careers.

University of Montreal

The University of Montreal is at the forefront of AI and Data Science research, especially through its association with Mila, the world-renowned AI institute. Its programs emphasise machine learning, big data, and computational modelling. Studying in such an environment promotes innovation and international collaboration.

• Best For: Research-oriented students focusing on AI, deep learning, and data modelling.
• Highlights: Collaborates with Mila AI Institute; strong focus on data research and analytics. Offers bilingual study options and a global research environment.

University of Alberta

The University of Alberta is a global leader in Artificial Intelligence and Data Analytics education. Its programs offer a strong research orientation, blending data modelling, predictive analytics, and software design. With Edmonton emerging as a growing tech hub, it is one of the best data science universities in Canada.

• Best For: Students pursuing research and technical expertise in AI and analytics.
• Highlights: Known for high-impact AI research and advanced computing facilities. Offers opportunities for industry partnerships, internships, and doctoral studies.

Simon Fraser University

Simon Fraser University offers interdisciplinary Data Science programs combining computer science, statistics, and business analytics. As one of the best universities in Canada for a Master's in Data Science, SFU focuses on applied learning through real-world projects and industry collaborations.

• Best For: Students looking for practical exposure and applied learning.
• Highlights: Offers interdisciplinary courses in computer science and business analytics. Focuses on real-world data projects and industry collaborations with top tech companies.

Western University

Western University’s Data Analytics and Computer Science programs bridge the gap between technical knowledge and business strategy. The curriculum includes modules on data visualisation, machine learning, and cloud technologies. Students benefit from career mentorship, internships, and research collaborations that strengthen their professional profile.

• Best For: Students seeking a balance between technical and business-focused data studies.
• Highlights: Programs in Data Analytics and Computer Science with strong links to finance, business, and research sectors. Great choice for leadership roles in analytics.

Queen's University

Queen’s University is among the best universities in Canada for a Master's in Data Analytics, offering advanced programs in Data Science and AI focused on innovation, leadership, and problem-solving. Students gain hands-on experience through interdisciplinary coursework and projects, leading to strong career opportunities.

• Best For: Students aiming for leadership and strategic roles in Data Analytics.
• Highlights: Combines computing, management, and statistics into a single curriculum. Offers strong career placement, industry mentorship, and global exposure opportunities.

Carleton University

Carleton University offers diverse Data Science and Analytics programs integrating mathematics, computer science, and statistics. The curriculum emphasises real-world applications like big data, predictive modelling, and policy analytics. Located in Ottawa, its proximity to government and research organisations provides strong internship and job opportunities.

• Best For: Students interested in data-driven research, policy analytics, and public sector roles.
• Highlights: Curriculum integrates mathematics, statistics, and computing. Located in Ottawa, offering access to internships with government and private research bodies.

Why Study Data Science in Canada?

Canada is a leading destination for Data Science studies, offering globally recognised degrees, modern infrastructure, and strong career growth in analytics and AI. Here’s why it’s a top choice for international students:

• Global Recognition: Canadian Data Science degrees are valued worldwide for their academic quality and practical focus.
• Growing Job Demand: The tech sector in Canada is expanding rapidly, creating high demand for data professionals.
• Post-Study Work Options: International students can stay and work in Canada for up to three years after graduation.
• Industry-Focused Learning: Most programs include internships and projects in collaboration with leading tech companies.
• High Earning Potential: Data Science graduates in Canada earn an average of CAD 70,000–100,000 annually.
• Easy Immigration Pathways: Supportive visa and PR policies make it easier to settle and build a long-term career.

Key Programs in Data Science in Canada

Below are some of the most popular program options available across leading universities in Canada:

Eligibility to Study Data Science in Canada

To pursue a Data Science degree in one of the best universities in Canada, students must meet certain academic and language requirements. These vary slightly by university and program level (Bachelor’s or Master’s), but the general criteria are as follows:

For Undergraduate (BSc / BA in Data Science):

• Completion of Class 12 with Mathematics as a compulsory subject.
• A minimum score of 70–85% in aggregate, depending on the university.
• English language proficiency through exams such as IELTS (6.5 overall), TOEFL (minimum 88), or PTE Academic (minimum 60).
• Some universities may require a Statement of Purpose (SOP) and academic transcripts.

For Postgraduate (MSc / MDS / MASc in Data Science):

• A Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, or a related field.
• Minimum GPA of 3.0 on a 4.0 scale (or equivalent 75%).
• Proof of English proficiency – IELTS (6.5–7.0), TOEFL (90+), or PTE (65+).
• GRE scores may be required for certain universities (though not always mandatory).
• A Statement of Purpose (SOP), Letters of Recommendation (LORs), and an updated resume/CV showing programming or analytical skills.

Tip: Knowledge of programming languages such as Python, R, SQL, or Java, along with hands-on experience with analytics tools, gives candidates a strong edge during admissions.

Fee Structure

Career Opportunities After Studying Data Science in Canada

Graduates with a Data Science degree from Canada are in high demand across industries. The country’s growing digital economy and shortage of skilled data professionals make it an excellent place to start or grow a data-driven career.

Popular Job Roles:

• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Engineer
• AI Specialist
• Statistician / Research Analyst
• Research Assistant
• Database Administrator
• Quantitative Analyst
• Business Analytics Consultant

Top Industries Hiring Data Science Graduates:

• Information Technology
• Banking and Financial Services
• Healthcare and Biotechnology
• E-commerce and Retail
• Consulting and Government Agencies

Note: International students can apply for the Post-Graduation Work Permit (PGWP), which allows them to work in Canada for up to three years after completing their degree, a valuable pathway toward permanent residency (PR).

Scholarships to Study Data Science in Canada

1. Master of Data Science (MDS) International Scholarship – University of British Columbia (Okanagan)

• Value: CAD $5,000 for an international student entering the MDS program.
• Eligibility: Strong academic and leadership achievements with admission into the MDS program.
• Note: Specific to the Master’s in Data Science track, making it highly relevant for international students.

2. Master of Data Science and Artificial Intelligence (MDSAI) Graduate Scholarship – University of Waterloo

• Value: CAD $17,500 per year for graduate students in the MDSAI program.
• Eligibility: Full-time enrollment in the MDSAI program with a minimum cumulative average of 80% or equivalent.
• Note: Focused on Data Science and AI, ideal for research-driven students.

3. Master of Data Science (MDS) Domestic/International Scholarships – UBC (Vancouver & Okanagan)

• Value: Up to CAD $25,000 entrance scholarship for international students in the MDS program.
• Eligibility: Based on academic excellence and diversity criteria.
• Note: Also offers scholarships for Indigenous students and other underrepresented groups in the Data Science field.

4. General Scholarships for International Students in Canada

• The Government of Canada and various organisations offer funding options for international students pursuing higher education.
• Many Canadian universities also provide merit-based and need-based scholarships that can be applied toward Data Science programs.
• These may not be specific to Data Science, but can help reduce tuition and living costs.

Final Thoughts

Canada is one of the top destinations for students pursuing a career in analytics and AI. The best universities in Canada for Data Science provide globally recognised degrees, practical training, and excellent job prospects.

Whether at the bachelor’s or master’s level, studying Data Science in Canada helps you build strong technical and analytical skills for today’s data-driven world. With great work opportunities and PR options, it’s an ideal place to launch your Data Science career.