Which Canadian universities should I look at for a Master's in Artificial Intelligence?
Canadian universities often considered for AI master's study include the University of Toronto (MScAC with an AI concentration), Waterloo (MDSAI), Alberta, McGill, Universite de Montreal and Ottawa. AI options usually sit within computer science, data science, machine learning or applied AI programmes, so compare each on its features.
Canada offers AI-related master's study through computer science, data science, machine learning and applied AI programmes. Instead of chasing one ranking, compare the programmes below on structure, internship or co-op options and research focus.
Universities and programmes to compare
| University | AI-focused programme or pathway | Key AI features |
|---|---|---|
| University of Toronto | MScAC with AI concentration | 8-month industrial internship |
| University of Waterloo | MDSAI | AI, data science and a co-op option |
| University of Alberta | Computing Science graduate programmes | Machine learning, AI and reinforcement learning |
| McGill University | MSc Computer Science | Machine learning stream |
| Universite de Montreal | MSc Computer Science or Professional MSc in ML | AI and ML through Mila |
| University of Ottawa | Applied AI pathways | AI and machine learning research |
How to weigh the options
- Course-based or research-based: this shapes your workload and outcomes.
- Internship or co-op: decide whether you want work experience built in.
- Research strengths: match them to the AI area you care about.
My Advice
Shortlist by the programme structure that fits your goals, then check each department's admission page for current prerequisites. Names and pathways can change, so verify before you apply.
Looking for a specific course in Canada?
We will find the universities that offer it, and whether you will get in.
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