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MS in Machine Learning in Canada

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Study Machine Learning in Canada

Canada hosts two of the world's most influential ML research ecosystems — Mila (Québec AI Institute, co-founded by Yoshua Bengio) in Montréal, and the Vector Institute (co-founded by Geoffrey Hinton) in Toronto. MS in Machine Learning programmes at University of Toronto, McGill University, University of Waterloo, University of Alberta, and Université de Montréal are world-class and attract top global researchers.

The Pan-Canadian AI Strategy and the CIFAR AI Chairs programme fund significant ML research. The Global Talent Stream provides fast-tracked work permits for ML professionals. PGWP provides up to 3 years post-graduation work rights. Entry salaries range from CAD $90,000–$160,000 for ML roles at major tech firms.

Key Facts

  • Duration: 1.5–2 years
  • Intake: September and January
  • Tuition: CAD $16,000–$35,000/yr
  • PGWP: Up to 3 years
  • Entry salary: CAD $90,000–$160,000

Top Universities

  • University of Toronto — Machine Learning MS (Vector Institute)
  • McGill University / Mila — Machine Learning MS
  • Université de Montréal / Mila — ML MS
  • University of Waterloo — CS (ML) MS

Quick Stats

Mila: World's #1 ML research

PGWP: Up to 3 years

Entry Salary: CAD $90K–$160K

Commission: 0%

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Planning MS in Machine Learning for 2026–27

Before you commit, run the numbers: typical budgets are ₹15–30 lakh per year, and graduates get a PGWP of up to 3 years. Compare options with the MS in Canada guide, check English-test alternatives, plan funding via non-collateral loans and the Scholarship Finder, and get your per-university admission odds from the AI University Matcher — free.

Budget roughly ₹15–30 lakh per year including tuition and living costs, varying by university and city. Scholarships and education loans can cover a substantial share — AbroBot matches both to your profile.

Yes — graduates typically get a PGWP of up to 3 years. Verify current immigration policy before applying, as rules evolve.

Apply with evidence: AbroBot computes your per-university admission probability from 25 lakh+ student outcomes, flags visa-risk factors early, and pairs AI SOP analysis with human expert review.

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