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MS in Software Engineering in Canada 2026

PGWP, Express Entry PR, and Canada's booming tech corridor — guided by AbroBot's 0% Commission, 100% Unbiased platform.

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Top Canadian Programs for MS Software Engineering

UniversityProgramFees (CAD/year)Duration
University of WaterlooMEng Software Engineering$25,0001 year
University of TorontoMEng (ECE / Software)$30,0001 year
UBCMEng (Software Engineering)$28,00016 months
McGill UniversityMEng Software Engineering$22,0001 year
McMaster UniversityMEng Software Engineering$20,0001 year

Toronto–Waterloo Tech Corridor

The Toronto–Waterloo corridor is North America's third-largest tech hub after Silicon Valley and New York, housing 15,000+ tech companies including Google, Microsoft, Amazon, Shopify, Thomson Reuters, and TD Bank's digital teams. PGWP allows 1–3 years of work post-graduation; software engineers (NOC 21232) qualify for Federal Skilled Worker Express Entry, with ITAs typically issued within 3–6 months of a strong CRS score.

Salary Data

Graduate software engineers in Toronto earn CAD $80,000–$100,000. Senior engineers earn CAD $120,000–$160,000. Staff engineers at Shopify, Wealthsimple, and scale-ups command CAD $180,000–$250,000 in total comp.

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Planning MS in Software 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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