- Published on March 18, 2026
- Bishnu K.
Canada is currently a global hotspot for Artificial Intelligence research and development, thanks to government initiatives like the Pan-Canadian AI Strategy. For international students, this means high-quality education, access to cutting-edge research labs, and excellent post-graduation work opportunities.
Below are the top Master’s degrees available on ApplyBoard that offer dedicated streams or strong research focus in AI and Machine Learning.
Northeastern University (Vancouver Campus)
Program: Master of Science in Computer Science (Align or Direct Entry).
Northeastern is a prestigious US university with a rapidly growing campus in Vancouver. It is famous for its “Co-op” model, which integrates work experience directly into the degree.
The AI Edge: The curriculum is heavily industry-focused. You won’t just learn AI theory; you will apply machine learning algorithms to real-world problems.
Key Features
Optional Co-op: Gain up to 8 months of professional work experience in Vancouver’s tech hub (home to Amazon, Microsoft, and SAP offices) before you graduate.
“Align” Option: If you don’t have a Computer Science undergrad, their “Align” program allows you to bridge into the Master’s—a rare find for non-tech graduates wanting to pivot to AI.
Who should apply?
Career switchers and students seeking a direct pathway to employment in the North American tech sector.
University of Windsor
Program: Master of Applied Computing (MAC)
Located right next to the US border (Detroit), Windsor is a powerhouse for automotive and industrial tech. The MAC program is a professional master’s designed specifically to get you job-ready.
The AI Edge: While you apply to the general “MAC” program, you can specialize once enrolled by choosing the AI Stream. This allows you to graduate with an “AI Stream” designation on your transcript by completing specific electives like Deep Learning and Natural Language Processing.
Key Features
Project-Based: Instead of a theoretical thesis, you complete a practical industry project or internship (often 8 months long).
Automotive Tech: With Windsor being Canada’s “Automotive Capital,” there is a strong focus on AI applications for autonomous vehicles and smart manufacturing.
Who should apply?
Students who want a practical, “hands-on” degree and are happy to choose their specialization after they arrive.
University of Regina
Program: Master of Science in Computer Science (MSc)
A hidden gem in the Prairie provinces, the University of Regina offers excellent research output at a more affordable tuition rate than big-city universities.
The AI Edge: The Computer Science department has a specific research focus on Artificial Intelligence and Deep Learning. Faculty here are actively researching granular topics like constraint programming and temporal reasoning.
Key Features
Flexible Routes: Offers both a Thesis-based (good for PhD hopefuls) and Project-based (good for industry jobs) route.
Cost of Living: Regina has a significantly lower cost of living compared to Toronto or Vancouver, making your budget go further.
Who should apply?
Budget-conscious students who do not want to sacrifice academic quality.
Carleton University (Ottawa)
Program: Master of Computer Science – Data Science, Analytics, and AI
Located in Canada’s capital, Ottawa, Carleton is deeply connected to the “Silicon Valley of the North” (Kanata tech park).
The AI Edge: This is a specialized stream (Collaborative Specialization in Data Science) that treats AI as a multidisciplinary tool. It covers the full pipeline: collecting data, processing it, and applying ML models to make predictions.
Key Features
Tech Hub Location: Ottawa has one of the highest concentrations of tech talent in North America (the “Silicon Valley of the North”).
Research Power: Excellent facilities for students interested in big data analytics alongside pure AI.
Who should apply?
Students interested in the intersection of Big Data and AI, and networking in Canada’s capital.
Trent University (Peterborough)
Program: Master of Science in Applied Modelling and Quantitative Methods (Big Data Analytics)
Trent offers a unique, boutique learning experience. Their “Big Data Analytics” stream is essentially a rigorous data science and ML bootcamp wrapped in a Master’s degree.
The AI Edge: While the name says “Modelling,” the curriculum is packed with Machine Learning techniques, Data Mining, and Visualization. It focuses on the mathematical foundations that drive modern AI.
Key Features
Fast Track: This is a course-based professional master’s that can be completed in just 16 months.
Industry Ready: Designed to produce Data Scientists and Analysts who can immediately step into corporate roles.
Who should apply?
Students with a strong math/stats background looking for a fast, intensive program.