MS in Data Science in Canada (2026)

Top universities for MS Data Science in Canada

• University of British Columbia — QS #38 · IELTS 6.5 · 53% acceptance · CAD 9–35k/yr · details
• Western University — QS #114 · IELTS 6.5 · 45% acceptance · CAD 30k/yr · details
• University of Waterloo — QS #115 · IELTS 7 · 53% acceptance · CAD 30k/yr · details
• Université de Montréal — QS #141 · IELTS 6.5 · 50% acceptance · CAD 24k/yr · details
• McMaster University — QS #176 · IELTS 6.5 · 45% acceptance · CAD 26k/yr · details
• University of Calgary — QS #182 · IELTS 6.5 · 56% acceptance · CAD 22k/yr · details

Each is a strong choice for MS Data Science with international support and good graduate outcomes. Use the free predictor for your personalised list.

Cost, requirements & intakes

• Tuition: CAD 20,000–40,000/yr for international students.
• Living cost: CAD 12,000–18,000/yr.
• Entry: IELTS 6.5 (or TOEFL/PTE), SOP, 2–3 LORs, transcripts; GRE/GMAT for some programs.
• Intakes: Fall (Sep), Winter (Jan), Summer (May).
• Post-study work: PGWP up to 3 years · PR: PR: ~1–3 yrs after qualifying work.

Comparing the shortlist for MS Data Science in Canada

13 of the 31 Canada universities in our dataset run a programme matching MS Data Science. The 6 below are the highest-ranked of those.

Acceptance across this shortlist runs from 45% to 56%. That range matters more than any single number: a list of six universities with one at 45% and another at 56% is not six equivalent applications, and treating it as one is how students end up with an all-reach list and no offer.

English requirements are not uniform either — this shortlist spans IELTS 6.5 to 7. Preparing to the lowest figure on the list quietly removes the other universities from your options before you have applied.

Ranks here span 38 to 182. Rank is the weakest of the three columns for choosing a MS Data Science programme — it is dominated by research output and reputation surveys across the whole institution, neither of which tells you who teaches your modules or whether the department has industry links where you want to work. Use it to sanity-check, not to sort.

The practical sequence for Canada: confirm the intake you are targeting (Fall (Sep), Winter (Jan), Summer (May)), because entry requirements and funding both key off it; budget tuition of CAD 20,000–40,000/yr against living costs of CAD 12,000–18,000/yr rather than tuition alone, which is the most common underestimate; and check post-study work terms — PGWP up to 3 years — before you commit, since that is what converts the degree into the outcome most students are actually buying.

What the table above does not tell you

Four things decide a MS Data Science application in Canada that no ranking column captures, and they are usually what separates an offer from a rejection at the same institution.

• Acceptance rate is institutional, not departmental. A university reporting 56% overall can run a MS Data Science programme far below that, because competitive departments carry the selective end of the distribution. Always look for the programme's own intake numbers; where they are not published, class size and the number of entry routes are decent proxies.
• The English score is a floor, not a target. IELTS 6.5 clears the gate; it does not compete. Where a programme is oversubscribed, admissions staff read the band breakdown, and a strong overall score hiding a weak Writing band is a common quiet rejection. Check whether the university sets per-section minimums as well as an overall figure — many do, and applicants routinely miss it.
• Funding decisions run on a different calendar to admissions. In Canada the intakes are Fall (Sep), Winter (Jan), Summer (May), but most scholarship deadlines sit weeks to months ahead of the application deadline. Applying "on time" for admission and late for money is one of the most expensive ordinary mistakes in the process, and it is entirely avoidable.
• Post-study work rules are what you are really buying. PGWP up to 3 years The onward route matters too — PR: ~1–3 yrs after qualifying work. These terms are set by government policy rather than by the university, so they can change between the year you apply and the year you graduate. Verify them on the official immigration site at the point of applying rather than trusting any third-party summary, this page included.

If you are choosing between Canada and somewhere else for MS Data Science, compare on total cost to a work permit rather than on tuition or rank. Tuition of CAD 20,000–40,000/yr plus living costs of CAD 12,000–18,000/yr over the length of the programme, set against what the post-study work window realistically lets you earn back, is the comparison that actually changes decisions — and it frequently reverses the ordering you get from ranking tables alone.