- Ryerson University is now Toronto Metropolitan University, renamed in April 2022
- International tuition for the UBC Master of Data Science is CAD 59,767.92 for its 10-month programme, while the University of Toronto MScAC totals about CAD 90,050 over 16 months for international students
- The Canadian study permit fee is CAD 150.
In Canada, a Masters in Data Science programme typically lasts 10 to 16 months. International tuition varies widely by university and programme length, ranging from roughly CAD 30,000 to over CAD 90,000 for the full degree. Several universities offer entrance scholarships to international students; the UBC Master of Data Science awards up to CAD 25,000.
A masters degree in data science is a multidisciplinary field that combines statistics, programming and machine learning, covering data cleaning, preparation and analysis. Related degrees include Computer Science, Big Data and Mathematics, offered as general or specialised programmes.
Which Are the Top Colleges for Masters in Data Science in Canada?
International students pursuing a Masters in Data Science in Canada can choose from several highly ranked universities. The University of British Columbia, University of Toronto, Toronto Metropolitan University, University of Waterloo and HEC Montreal all offer respected data science or applied computing programmes with strong industry links and co-op or internship opportunities.
| University 2026 | Programme |
|---|---|
| University of British Columbia | Master of Data Science (MDS) |
| University of Toronto | MSc in Applied Computing (MScAC) — Data Science |
| Toronto Metropolitan University | Data Science and Analytics (MSc) |
| University of Waterloo | Master of Data Science and Artificial Intelligence (MDSAI) |
| HEC Montreal | MSc in Data Science and Business Analytics |
Why Should You Study a Masters in Data Science in Canada?
Canada combines world-class data science programmes with a welcoming immigration system. International graduates can apply for a Post-Graduation Work Permit, gain paid co-op experience, and pursue permanent residency. Strong demand across finance, healthcare, technology and government, plus competitive salaries, makes Canada an attractive destination for aspiring data scientists from India and elsewhere.
- Data science is one of Canada's fastest-growing career fields, with demand across technology, finance, healthcare and government.
- Entry-level data scientists in Canada earn competitive salaries, and demand for skilled analysts continues to rise.
- Canadian universities offer strong co-op and internship options, giving international students paid, real-world industry experience.
- A Canadian degree, combined with the Post-Graduation Work Permit, offers a clear pathway to work experience and permanent residency.
What Are the Course Details for Masters in Data Science in Canada?
In Canada, most Masters in Data Science programmes last between 10 and 16 months. Some universities offer an eight-month on-campus phase followed by an eight-month paid internship. Curricula typically combine statistics, programming, machine learning and data analysis, and data science is sometimes merged with data analytics into a single interdisciplinary degree.
Data Science vs Big Data
When choosing which related degree to pursue, overseas students can be unsure. A basic distinction between the two fields is provided below to help you make a more informed choice.
| Basis of Difference (2026) | Data Science | Big Data |
|---|---|---|
| Scope | Micro | Macro |
| Major Fields | Machine learning, AI, search engine engineering, corporate analytics | Customer, compliance and financial analysis, data communication and retail |
| Goal | Cleans, prepares and analyses data | Insights are analysed to make better judgments and strategic business moves |
Data Science vs Data Analytics
The terms data science and data analytics are often used interchangeably, but the two programmes are not identical. Data analysis focuses on processing and running statistical analysis on pre-set data to help display and communicate it. A table covering other differences is provided below.
| Basis of Difference (2026) | Data Science | Data Analysis |
|---|---|---|
| Scope | Macro | Micro |
| Major Fields | Machine learning, AI, search engine engineering, corporate analytics | Gaming, healthcare, travel and industries with immediate data needs |
| Goal | Helps in selecting the appropriate questions to ask | Assists in discovering data that can be used to make decisions |
Are There Online Data Science Courses You Can Take?
Online education has made data science accessible worldwide through virtual classrooms, recorded lectures and remote assessments. While fully online Masters options within Canada are limited, several universities offer blended or virtual delivery, and many global institutions provide online data science degrees and certificates that Indian students can complete remotely alongside work or further study.
Some widely recognised online data science courses include:
- Data ScienceTech Institute — MS in Data Science (France)
- Illinois Institute of Technology — MS in Data Science (Chicago)
- Merrimack College — MS in Data Science (Massachusetts)
- North Central University — MS in Data Science (San Diego)
- University of California — MS in Data Science (California)
- University of Missouri — MS in Data Science (Columbia)
How Does the Admission Process Work for Masters in Data Science?
The admission process for Masters in Data Science in Canada varies by university, but most programmes admit for the fall intake, with some winter and summer options. International applicants generally need a completed four-year bachelor's degree, English proficiency scores, and supporting documents, after which an acceptance letter allows them to apply for a study permit.
- Apply to your chosen university online by registering on that university's website.
- Complete all details of the application form and attach the supporting documents.
- Submit your English language proficiency test scores (IELTS or TOEFL).
- Once you apply, the university may take some time to process your application.
- If you receive an acceptance letter, you can then apply for a study permit in Canada.
Application deadlines vary by university and most programmes admit for the fall intake. For example, the University of Toronto MScAC deadline for the Fall 2026 intake was December 1, 2025. Always check each university's official admissions page for the current deadline.
What Is the Eligibility for Masters in Data Science in Canada?
International students must meet certain eligibility requirements to apply for Masters in Data Science programmes in Canada. Although each university sets its own criteria, common requirements include a recognised four-year bachelor's degree with a competitive GPA, English proficiency through IELTS or TOEFL, and sometimes GRE or GMAT scores or relevant work experience.
| Type | Requirements (2026) |
|---|---|
| Academic Requirements | A full-time bachelor's degree from a recognised institution with a competitive GPA (around 3.0/4.33) |
| English Language Test | IELTS (overall 7 with no band below 6.5) or TOEFL (varies by university) |
| GMAT/GRE (if required) | GMAT around 550-600, where applicable |
| Work Experience (if required) | Some programmes may require 2-3 years of full-time work experience |
Other university-specific entrance criteria are listed below:
| University (2026) | Minimum Eligibility |
|---|---|
| University of British Columbia | Professional experience (optional but desirable); around 65% or 8 on a 10-point scale in the UG degree |
| University of Toronto | 77-79% or B+ grade in bachelor's |
| Carleton University | GRE / GMAT score |
| Toronto Metropolitan University | B grade or a score of 73-76% |
| University of Waterloo | Average of 78% or B+ grade; 1 year of senior-level experience in statistics or CS |
| HEC Montreal | GMAT around 600 or GRE; French proficiency TEF/TCF B2 to C1 level |
English Language Proficiency Requirements
Below are the minimum English language proficiency requirements at some of the top universities:
| University (2026) | TOEFL iBT (minimum) | IELTS (minimum) |
|---|---|---|
| Carleton University | 100 | 7 (no band below 6.5) |
| University of Toronto | 93 | 7 (no band below 6.5) |
| University of British Columbia | 100 | 7.0 (no band below 6.5) |
| HEC Montreal | 95-114 | 7-8 |
| University of Waterloo | 100 | 7.5 (no band below 7) |
| Toronto Metropolitan University | 93 | 7 |
What Skills Do Data Scientists Need?
Successful data scientists combine three core strengths. Mathematics and statistics let them view data quantitatively and spot correlations. Technology and programming skills, sometimes called hacking skills, help them break down messy problems into solvable algorithms. Business and strategy sense lets them turn analysis into decisions that solve real organisational problems.
- Mathematics — the ability to view data through a quantitative lens, understanding texture, correlations and relationships expressed mathematically.
- Technology (hacking skills) — using technical skills creatively to find clever solutions, breaking down messy problems into solvable algorithms.
- Business and strategy — acting as business consultants who analyse data in ways others cannot and design strategies to solve business problems.
What Are the Tuition Fees for Masters in Data Science in Canada?
Tuition for a Masters in Data Science in Canada varies by university and programme length. International tuition for the UBC Master of Data Science is CAD 59,767.92 for the 10-month programme, while the University of Toronto's MScAC totals about CAD 90,050 over 16 months. Always confirm current fees on each university's official page.
The figures below are international tuition taken from each university's own official page. Fees at other universities vary by programme, so always confirm on the official website before applying.
| University (2026) | Programme | International Tuition (CAD) |
|---|---|---|
| University of British Columbia | Master of Data Science (10 months) | 59,767.92 |
| University of Toronto | MSc in Applied Computing / MScAC (16 months) | 90,050 (total) |
How Much Does It Cost to Live in Canada as a Data Science Student?
Beyond tuition, students should budget for pre-arrival and settlement costs. Pre-arrival expenses include the CAD 150 study permit fee, language test fees and insurance. After arriving, monthly living costs cover accommodation, from roughly CAD 350 to 2,000, plus public transport, utilities, food and lifestyle expenses that vary widely by city and personal choices.
The costs of pursuing a Masters in Data Science in Canada can be divided into pre-arrival costs and post-arrival or settlement costs. Exact figures are hard to estimate, but the approximate costs below give a useful guide.
- Study permit (visa) fee — CAD 150, plus an CAD 85 biometrics fee and any document costs
- Language test fees — TOEFL around USD 180 and IELTS around USD 240 in India
- Insurance cost — varies by province and provider
- Tuition fees — vary depending on the university and programme
- Accommodation — between CAD 350 and CAD 2,000 per month depending on type
- Public transport — upwards of CAD 100 per month
- Entertainment and lifestyle — between CAD 50 and CAD 100 per month
- Utilities — around CAD 80 per month
- Food and groceries — varies depending on lifestyle
Which Degrees Are Available in Data Science?
Data science can be studied at the postgraduate level through Masters or PhD degrees, and some universities also offer bachelor's and diploma options. Programmes typically cover applied statistics, programming languages such as SQL and Python, and machine learning, preparing graduates for roles in data architecture, computer engineering, analytics and software development.
Data science studies are available for higher studies like Masters or PhD degrees. The programme covers subjects such as applied statistics and programming skills (SQL, Python). Graduates can go on to work in data architecture, computer engineering and programming.
Other related degrees in data science
- Business Analytics — analysts study consumer and market data and observe the latest trends across businesses and markets.
- Information Systems — students are trained in IS design and analysis, database management and systems architecture.
Data analytics is another closely related field. A key feature of these Masters degrees is the capstone project, where students tackle a real-world problem by collecting and processing real data, designing the best method to solve it, and then implementing that solution. The USA and Canada are among the most popular destinations offering strong MS Data Science courses.
Apart from the master's degree, some Ontario universities also offer a bachelor's degree in Data Science. Other related options include:
- Computer Science (Acadia University)
- Mathematics and Statistics (Acadia University)
- Machine learning research (Mila — Quebec AI Institute, Montreal)
- Data mining courses (University of Toronto)
What Scholarships Are Available for Masters in Data Science in Canada?
Several scholarships help international students offset the cost of a Masters in Data Science in Canada. The UBC Master of Data Science offers entrance scholarships of up to CAD 25,000, while provincial and university awards such as the Ontario Graduate Scholarship support eligible students. Each award has its own eligibility criteria and deadlines.
| Scholarship | University (2026) | Amount (CAD) |
|---|---|---|
| Master of Data Science Entrance Scholarship | University of British Columbia | Up to 25,000 |
| Ontario Graduate Scholarship | Carleton University | Varies (province-funded) |
| Ontario Graduate Scholarship | University of Waterloo | Varies (province-funded) |
| Ontario Graduate Scholarship | Toronto Metropolitan University | Varies (province-funded) |
| School of Graduate Studies awards | University of Toronto | Varies |
| Entrance Scholarship | HEC Montreal | Varies |
Is a Masters in Data Science in Canada Worth It?
A Masters in Data Science in Canada offers strong value for Indian students. The curriculum blends machine learning, statistics, data mining and big data analytics with applied, project-based training that strengthens a CV. Although the degree is costly, Canadian tuition is often more affordable than comparable programmes, and graduates gain globally recognised skills and job prospects.
- The curriculum covers machine learning, data mining, applied statistics, probability models, database management, data visualisation and big data analytics, adding strong value to your CV.
- Canadian tuition for data science is often more affordable than comparable programmes in other countries, while still offering high-quality teaching.
- Applied, project-based learning prepares students for real-world roles and improves employability, including for high-paying jobs back in India.
What Careers Follow a Masters in Data Science in Canada?
Data science offers strong career growth in Canada and beyond. Graduates can work as data scientists, data analysts, machine learning engineers, data architects, business analysts or statisticians across technology, finance, healthcare and government. Employers such as Oracle, Apple, Microsoft, Walmart and analytics-focused firms regularly recruit skilled data professionals, often with competitive salaries and clear advancement paths.
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Data Architect
- Business Analyst
- Statistician
Some analytics-focused companies that regularly hire data scientists include NextDataScience, LatentView, BlueOcean, Manthan and Fractal Analytics.
In today's data-driven world, companies rely on the insights data scientists provide to stay ahead of competitors while keeping costs low. Large employers such as Oracle, Apple, Microsoft, Booz Allen Hamilton, State Farm and Walmart regularly post data science roles, often with strong compensation and clear advancement paths.