Masters (MS) in Data Science in Canada: Course Details, Universities & Jobs

Masters (MS) in Data Science in Canada: Course Details, Universities & Jobs

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By Prabhadri Suman|Updated On - 2023-06-03 11:25:59

Master (MS) Data Science in Canada- Know course details, admissions process in top universities, scholarships, admissions process with fees, and job opportunities.

Masters (MS) in Data Science in Canada: Course Details, Universities & Jobs

Topics Covered:

  • Masters in Data Science in Canada Course Highlight
  • Why pursue MS in Data Science in Canada?
  • Masters in Data Science in Canada Course Comparison
  • Top universities for Masters in Data Science in Canada
  • What to Know Before Applying?
  • Document checklist for MS in Data Science
  • Scholarships for Masters in Data Science in Canada
  • Masters in Data science in Canada Placements
  • Conclusion

Data science is the research, analysis and study of vast volumes of data collected over time in a specific field. The data used for analysis can come from many different sources and are presented in various formats. Data science detects patterns and derives meaningful information through data analysis to enable critical business decisions. It uses complex machine learning algorithms to build predictive models.

Needless to say, data science has attracted a lot of traction among companies looking to improve their revenues. Which is why this is the perfect time to obtain a degree in masters in data science in Canada.

Demand for data scientists will increase by 28% by 2026. (Source: Glassdoor and Forbes)     

In the next five years, Canada is expected to offer an abundance of data science related job openings, projected to be around four million. A person who holds a Master's degree in Data Science and is just starting out can make a salary of 48,000 CAD annually, which equates to approximately 29 lakhs. The average salary of someone who has earned a MS in Data Science in Canada is 70,000 CAD.

Masters in Data Science in Canada Course Highlight 

Duration 1-2 years
Type of Study Full-time / Part-time
Average Annual Tuition Fee  CAD 20,000 -40,000 
Top Universities in Canada for masters in data science
  • University of Toronto
  • University of British Columbia
  • University of Waterloo
  • McGill University
  • HEC Montreal 
  • MSc Data Science and Business Analytics
  • Graduate Certificate in Cloud Computing
  • MSc in Allied Computing-Data Science
  • MSc Computer Science- Data Science
  • Master of Management Analytics
  • Professional master’s program in computer science-specialization in big data
Specializations Offered
  • Artificial Intelligence
  • Data Mining
  • Big Data Analytics
  • Statistical Analysis
  • Informatics

Why pursue MS in Data Science in Canada?

By studying abroad Canada , you study in one of the best countries in the world in terms of infrastructure and standard of academics. The country offers a high standard of living, top-level education, and a hospitable environment to study and succeed through the duration of your course.

Masters in Data Science in Canada is a 2-year program with specialization of Masters in Computer Science, Big Data, or Mathematics. Getting this degree in Canada opens up a world of job opportunities for international students not just in Canada, but anywhere else in the world. 

The Information and Communications Technology Council (ICTC) expects the demand for data scientists in Canada to reach more than 305,000 over the same period. It has identified data scientists among the 15 top digital jobs in demand through 2023. 

Masters in Data Science in Canada Course Comparison

Students typically need 1 to 1.5 years to finish a master's degree in data science in Canada. Some universities offer a combination of 8 months of physical classes and an 8-month internship. Alternatively, it is possible to find programs that combine data science and data analysis into one single program.

Data Science vs Big Data vs Data Analytics     

Parameters      Data Science      Big Data      Data Analysis     
Scope Macro Macro Micro
Top Universities

McGill University

University of Toronto

Georgian College

Trent University

University of Montreal

University of Calgary

Major Fields

Machine learning

Artificial intelligence

Search engine engineering

Corporate analytics

Customer, compliance

Financial analysis



and retail

Gaming, healthcare

Travel, industries with immediate data needs.


Interested in studying abroad? Our Experts will evaluate your profile for FREE

Top universities for Masters in Data Science in Canada

An MS in Data science in Canada will be filled with innovative learning experiences, technology, and industrial experiences. Let us take you through the MS in Data Science in Canada fee and top universities.

University Name      Program      Tuition Fees in CAD     
University of Toronto MS in Applied Computing - Data Science 41,47,126
McGill University MS Data Science 32,68,347
University of British Columbia Masters in Data Science 30,05,550
University of Calgary MS Data Science and Analytics 29,88,836
HEC Montreal MS Data Science and Business Analytics 20,64,481
University of Waterloo     MS Data Science and Artificial Intelligence 32,67,780
Carleton University     Masters in Computer Science - Data Science (collaborative masters) 16,96,217
Toronto Metropolitan University     Masters in Data Science and Analytics 13,83,989
Thompson Rivers University     MS Data Science 23,32,561
Simon Fraser University Professional master’s program in Computer Science-Big Data Specialization Not available

What to Know Before Applying?

International applicants are required to have completed 16 years of education for applying    top universities in Canada . The general admission requirements for MS Data Science in Canada are given below.

MS in Data Science in Canada Eligibility:

  • Average GPA 3.0/Grade B/75%
  • Language Proficiency: The average IELTS score required is 6.5 for most of the universities.

Note: There are different English language proficiency tests ( IELTS / TOEFL / PTE ) accepted at different universities. Applicants must make sure that the test they are taking is accepted by their selected university.

  • GRE/GMAT score (not compulsory)

One can apply for an MS in  Data science in Canada without GRE  or GMAT score. However, some universities like University of Toronto and HEC Montreal accept an average quantitative score of 160.

Check out the Masters in Data Science in Canada requirements for admission     

Universities      Eligibility Requirements     
The University of British Columbia
  • TOEFL(IBT): 100
  • IELTS: 7 Overall
University of Waterloo
  • TOEFL(IBT): 90
  • IELTS: 7 overall
  • UG Degree: 75% (Mini.)
University of Toronto
  • TOEFL(IBT): 93
  • IELTS: 7 Overall
McGill University
  • TOEFL(IBT): 86
  • IELTS: 6.5 Overall
Carleton University
  • TOEFL(IBT): 86
  • IELTS: 6.5 overall
  • UG Degree
Ryerson University    
  • GPA: 3.0 out of 4.3
  • TOEFL(IBT): 93
  • IELTS: 7 Overall
HEC Montreal
  • GPA : 3.0 out of 4.3
Simon Fraser University
  • GPA: 3.0 out of 4.3
  • TOEFL(IBT): 93
  • IELTS: 7 Overall
University of Western Ontario
  • TOEFL(IBT): 94
  • IELTS: 7 Overall
  • UG Degree: 70% (Mini.)
Queen’s University
  • GMAT: 650

Document checklist for MS in Data Science     

Documents checklist:     

Applications are taken between September to October for the oncoming academic session next year. Candidates need to apply through the admission portals of respective universities. The application fee to be paid at the time of form submission is 50-250 CAD. Admission decisions are intimated through mail after 6-8 weeks of application deadline date.

Scholarships for Masters in Data Science in Canada

The average annual tuition fee for Masters-level data science course  is around 40,000 CAD which is equivalent to around 24 lakhs for Indian students. The average living expenses in Canada is about 900 CAD - 1500 CAD per month. 

Students who find it difficult to afford the MS in data science in Canada may apply for Canada scholarships . There are a number of scholarships for meritorious students to pursue masters in data science in Canada with scholarship. They include government funded, privately funded and university-specific scholarships.

List of Scholarships:     

Scholarship Name      Eligibility      Award      
Lester B Pearson International Scholarships, University of Toronto International students who have got admission to University of Toronto Tuition and all other expenses
International Major Entrance Scholarship, University of British Columbia International applicants with demonstrable academic performance Variable
International Entrance Scholarships, HEC Montreal International applicants with demonstrable academic performance 2,000-4,000 CAD
President’s Graduate Scholarship, University of Waterloo  Outstanding graduate students Variable

Masters in Data science in Canada Placements

Canada is predicted to have a booming opportunity of around 4 million jobs in data science in the coming years. Demand for data scientists is 50% higher than that of software engineers.

With an MS in Data Science degree in Canada, a fresher can make an average salary of 48,000 CAD (29 lakhs INR) per year. The average salary of an MS in Data Science graduate is 70,000 CAD in Canada. The average salary of a data scientist in Canada is CAD 85,389 CAD. 

Job Profiles      Average Annual Salary (in CAD)     
Data Analyst 42,000-78,000
Business Intelligence Analyst 50,000-82,000
Software Developer 50,000-90,000
Data Engineer 58,000-114,000
Senior Software Engineer 80,000-132000

Besides, one can also pursue higher education in various specializations like artificial intelligence, data mining, supply chain analytics, etc. or start a business after completing MS in Data Science in Canada.


If you have the qualifications and the necessary skills, making Data Science your profession is a great option to consider. With technology being an area, which is rapidly growing, the requirement for data analysts is sure to increase. Masters in data science in Canada is an excellent choice given its friendly environment, educational grants and inexpensive way of life.

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