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MS in Data Engineering in Canada

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Study Data Engineering in Canada

Canada's growing technology sector — anchored by Toronto, Vancouver, and Montréal — has strong demand for data engineers across banking, e-commerce, healthcare, and AI companies. MS in Data Science and Data Engineering programmes are offered at University of Toronto, University of British Columbia, University of Waterloo, McGill University, and Simon Fraser University.

The PGWP provides up to 3 years of Canadian work experience post-graduation, supporting Express Entry PR via NOC 21211 (Data Scientists). Shopify, TD Bank, RBC, Telus, and global tech firms (Google, Microsoft, Amazon) with Canadian offices are major employers. Entry salaries range from CAD $90,000–$145,000 in data engineering roles.

Key Facts

  • Duration: 1.5–2 years
  • Intake: September and January
  • Tuition: CAD $18,000–$40,000/yr
  • PGWP: Up to 3 years
  • Entry salary: CAD $90,000–$145,000

Top Universities

  • University of Toronto — Data Science MScAC/MEng
  • University of British Columbia — Data Science MEng
  • University of Waterloo — Data Science MEng
  • McGill University — Data Science MEng

Quick Stats

Avg Tuition: CAD $28,000/yr

PGWP: Up to 3 years

Shopify HQ: Ottawa

Commission: 0%

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Planning MS in Data Engineering 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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