All About Universities

10 Top Data Science Universities in Canada 2024: Best Data Science Programs in Canada, Application Process, Scholarships & More 

Author_Image
Yocket Editorial Team
7.2k views

In Canada, many industries, including finance, healthcare, technology, and retail, are increasingly relying on data science to drive business decisions. Additionally, Canada has a growing startup ecosystem and tech industry, with many startups and established companies looking for data scientists to help them gain insights and make data-driven decisions.

The Canadian government has also recognized the importance of data science, and various initiatives are underway to promote the growth of this field. For instance, the government has launched the Pan-Canadian Artificial Intelligence Strategy, which includes investments in research and development, talent development, and commercialization of AI technologie

Not only this, many top Canadian universities now offer data science programs, and there are numerous boot camps and online courses available for individuals looking to enter the field. And so, if you are looking forward to studying data science in Canada, you should be well assured of your future! 

Moreover, to back you up with your research, we have come up with this blog on the best data science programs in Canada along with the top data science universities in Canada! 

Excited to start your journey to the true north?! Take this 15-minutes FREE consultation call with our Yocket Study Abroad Experts to kickstart your journey! 

Table Of Contents

Top 10 Data Science Universities in Canada 

Canada is home to many world-class universities that offer excellent programs in data science. Many of these institutions offer a variety of degree programs, including undergraduate, graduate, and postgraduate degrees, as well as specialized certificates and diplomas in data science and related fields.

We have shared some of the best data science universities in Canada for you to explore: 

University

QS Ranking 2024

Tuition Fees (International)

University of Toronto

21

CAD 55,300

University of British Columbia

34

CAD 38,000

McGill University

30

CAD 19,100 (per semester)

University of Alberta

111

CAD 28,010

University of Waterloo

112

CAD 31,815

University of Montreal

141

CAD 18,978 (per year)

Simon Fraser University

318

CAD 27,382

University of Calgary

182

CAD 29,158

York University

353

CAD 29,962

Ryerson University

801-1000

CAD 29,878

Can’t seem to find your perfect data science university in Canada? Reach out to our Yocket Advisors! 

Best Data Science Programs in Canada 

Canada has a wealth of data science programs offered by various universities across the country. The programs vary in structure and focus, but generally include coursework in statistics, machine learning, programming, and data analysis, among other topics.

Some of the most popular data science programs in Canada are offered by universities such as the University of Toronto, the University of British Columbia, McGill University, the University of Waterloo, and the University of Montreal, among others. These programs are typically taught by experienced faculty members who are experts in the field and have experience working in various industries.

Given below are some popular data science courses in Canada: 

University

Degree/Course Name

University of Toronto

Master of Science in Applied Computing (Data Science)

University of British Columbia

Master of Data Science

McGill University

Master of Science in Data Science and Analytics

University of Waterloo

Bachelor of Mathematics in Data Science, Master of Data Science

University of Montreal

Bachelor of Data Science, Master of Data Science

Simon Fraser University

Bachelor of Science in Computing Science (Data Science)

University of Alberta

Bachelor of Science in Computing Science (Data Science)

Ryerson University

Bachelor of Science in Data Science and Analytics

York University

Bachelor of Science in Applied Mathematics (Data Science)

University of Guelph

Master of Applied Data Science and Analytics

Carleton University

Bachelor of Computer Science with a Concentration in Data Science

McMaster University

Master of Science in Mathematics and Statistics (Data Science)

Data Science Programs in Canada Course Structure 

Now to give you an idea of how typical data science courses in Canada look like, we have collated the most popular ones: 

Name of Program

Program Type

Course Structure

Credits

Data Science and Analytics

Master's Degree

Mathematics for Data Science, Data Management, Machine Learning, Statistical Learning

30

Bachelor of Science in Data Science

Bachelor's Degree

Mathematics for Data Science, Programming for Data Science, Data Management, Machine Learning, Data Visualization

120

Data Science Certificate

Post-Graduate Certificate

Programming for Data Science, Machine Learning, Data Management, Big Data Analytics

18

Master of Data Science

Master's Degree

Mathematics for Data Science, Programming for Data Science, Data Management, Machine Learning, Data Visualization

30

Graduate Diploma in Data Analytics

Graduate Diploma

Mathematics for Data Analytics, Statistical Inference, Data Management, Machine Learning, Big Data Analytics

12

Admission Requirements at Data Analytics Universities in Canada 

Admission requirements for data analytics universities in Canada may vary depending on the program and university. However, here are some general admission requirements:

  • Educational Background: Applicants are generally required to have a bachelor's degree or higher from a recognized institution. The degree should be in a relevant field such as computer science, mathematics, statistics, engineering, or a related field. Some programs may also accept applicants with relevant work experience in lieu of a degree.
  • GPA: Many programs require a minimum GPA, typically around 3.0 (on a 4.0 scale) or higher. Some programs may require a higher GPA, depending on the competitiveness of the program.
  • English Language Proficiency: International students whose first language is not English may be required to submit proof of English language proficiency. This can be done through tests such as TOEFL or IELTS.
  • GRE or GMAT scores: Some programs may require GRE or GMAT scores, especially for master's programs.
  • Work Experience: Some programs may require or prefer applicants to have relevant work experience in data analytics or a related field.
  • Personal Statement or Letter of Intent: Many programs require a personal statement or letter of intent, where applicants are asked to outline their career goals and reasons for applying to the program.

Scholarships Available for Data Science Courses in Canada 

There are various types of financial aid available for data science programs in Canada, including scholarships, bursaries, grants, and loans. Many universities offer their own financial aid programs, such as merit-based scholarships and need-based bursaries. Additionally, the Canadian government provides financial aid to eligible students through programs like the Canada Student Loans Program (CSLP) and the Canada Student Grant Program (CSGP).

Given below is an amalgamation of some of the most popular scholarships available to pursue data science programs in Canada: 

Scholarship Name

Amount Offered

Eligibility Criteria

Canadian Graduate Scholarship - Master's Program (CGS-M)

$17,500

Canadian citizens or permanent residents enrolled in a master's program in data science or a related field, with a minimum GPA of 3.0.

Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Scholarships

$21,000 - $35,000

Canadian citizens or permanent residents enrolled in a doctoral program in data science or a related field, with a minimum GPA of 3.0.

Mitacs Globalink Research Award

$6,000 - $15,000

Undergraduate or graduate students from eligible countries (including Canada) enrolled in a data science research project.

Ontario Graduate Scholarship (OGS)

$15,000

Canadian citizens, permanent residents, or international students enrolled in a master's or doctoral program in data science or a related field, with a minimum GPA of 3.0.

Queen Elizabeth II Graduate Scholarship in Science and Technology (QEII-GSST)

$15,000

Canadian citizens, permanent residents, or international students enrolled in a master's or doctoral program in data science or a related field, with a minimum GPA of 3.7.

Co-Op Programs for Data Science Programs in Canada 

As cool as the name sounds, co-op programs in Data Science provide you with the opportunity to gain practical experience and build their skills in data analytics, machine learning, and related fields through alternating academic terms and work terms. These programs typically last for 4-5 years and involve multiple work terms with industry partners, allowing students to apply their classroom knowledge to real-world problems and develop valuable professional connections. Many universities in Canada offer co-op programs in Data Science, and we have listed the most popular ones below: 

Program Name

University

Duration

Credit

Data Science Co-op

University of Waterloo

5 years

20 academic terms + 5 work terms

Co-op Data Science

University of British Columbia

5 years

20 academic terms + 4 work terms

Data Science Co-op

Ryerson University

4 years

16 academic terms + 3 work terms

Co-op Data Analytics

Carleton University

4 years

16 academic terms + 4 work terms

Applied Data Science Co-op

Simon Fraser University

4 years

16 academic terms + 4 work terms

Co-op Data Science

University of Toronto

4 years

16 academic terms + 3 work terms

Career Prospects at Best Data Analytics Universities in Canada 

You as a graduate of data science in Canada can score a good average salary of CAD 81,000 per annum. Top recruiters at data analytics universities in Canada include Shopify, BMO, Microsoft, Amazon, Rogers Communications and more. 

Given below are some popular job profiles along with their average salaries post pursuing data science programs in Canada: 

University

Job Profiles

Average Salaries

University of Toronto

Data Scientist, Business Analyst, Data Analyst

$77k - $111k

University of British Columbia

Data Analyst, Business Intelligence Analyst, Data Scientist

$59k - $102k

University of Waterloo

Data Scientist, Machine Learning Engineer, Business Analyst

$65k - $117k

McGill University

Data Analyst, Business Intelligence Analyst, Data Scientist

$52k - $95k

Simon Fraser University

Data Analyst, Data Scientist, Business Analyst

$60k - $103k

Yocket Recommendations for Studying Data Science in Canada 

So, in conclusion, if you're interested in studying data science in Canada, here are our top recommendations to help you get started:

  • Research different programs: There are many universities and colleges in Canada that offer data science programs, each with its own unique curriculum and specializations. Research and compare different programs to find one that aligns with your interests and career goals.
  • Consider co-op programs: Co-op programs provide students with the opportunity to gain practical work experience in their field while completing their studies. Consider enrolling in a data science program with a co-op component to gain hands-on experience and improve your job prospects after graduation.
  • Build a strong foundation in math and programming: Data science requires a strong foundation in math and programming. Consider taking courses in calculus, linear algebra, statistics, and programming languages such as Python and R to prepare for your data science studies.
  • Participate in extracurricular activities: Participating in extracurricular activities such as hackathons, coding clubs, and data science competitions can help you gain valuable skills and experience in data science, as well as connect with other students and professionals in the field.
  • Seek out networking opportunities: Building a professional network can help you find job opportunities and advance your career in data science. Attend industry events and conferences, join data science groups on social media, and connect with professionals in the field on LinkedIn.
  • Stay up-to-date with industry trends and developments: Data science is a rapidly evolving field, and it's important to stay up-to-date with the latest trends and developments. Subscribe to industry publications, attend webinars and workshops, and take online courses to continue learning and expanding your knowledge in data science.

And, if you have chosen a data science university in Canada for yourself, its time to connect with our Yocket Counselors to understand the steps ahead! 

Frequently Asked Questions about Data Science Degree Programs in Canada 

What kind of skills do I need to succeed in a data science program?

What kind of jobs can I get with a data science degree?

What universities in Canada offer data science degree programs?

Do I need a background in computer science or statistics to apply for a data science program?

Are there any co-op programs for data science in Canada?

What is the average salary for a data scientist in Canada?

More Topics

Top Premium Admits

View all admits

Articles you might like

The Indian Dream To Go For Higher Studies Abroad?

Hold all the aces before you depart for your higher studies

What After SAT / ACT Exam? | Things to do for Studies Abroad

Upcoming Events

Free

Scholarships and Other Funding Strategies 2025

June 15th, 7:00 pm IST | 1hr

Free

Fireside chat with Brown uni admitted student

June 21st, 3:00 pm IST | 1hr

Free

Looking for Funding options: Scholarships, RA & TA are the way forward!

July 2nd, 5:00 pm IST | 1hr