MS in AI in Canada 2026: Top Universities, Requirements & Fees

With Canada emerging as a global AI research hub, an MS in AI from a Canadian university can help you prepare for high-paying careers in machine learning, robotics, or data science. Here are key reasons to consider an MS in AI in Canada:

• High Job Demand: Canada faces a shortage of AI and machine learning specialists across healthcare, finance, autonomous systems, and manufacturing. You can receive job offers within 6 months of graduation, with an average salary of CAD 83,000 (₹55 lakhs) per year.
• World-Class Research Environment: Canada is home to three of the world's leading AI research institutes: the Vector Institute in Toronto, Mila in Montreal, and Amii in Edmonton. You can access funded research projects and industry collaborations through university partnerships with these institutes.
• Fastest PR Pathway Among English-Speaking Countries: Canada's Express Entry and Provincial Nominee Programs actively prioritise AI and technology professionals. After you complete your MS in AI and gain one year of work experience in Canada, you can apply for permanent residency through the Canadian Experience Class.
• Strong Industry Ecosystem: You can access strong networking and hiring opportunities because companies such as Google DeepMind, Apple, Samsung, and Uber operate major AI labs in Toronto and Montreal.

Here's the list of the top Master's in Artificial Intelligence programs at Canadian universities:

1. University of Toronto

The MScAC programme at the University of Toronto focuses strongly on applied artificial intelligence through machine learning, data science, and AI systems. You can gain hands-on industry experience through the mandatory 8-month internship while working with AI companies, startups, and research organisations connected to Toronto’s growing AI ecosystem. 

2. University of British Columbia

The Master’s in Computer Science programme at the University of British Columbia offers strong AI research opportunities in areas such as computer vision, natural language processing, robotics, and machine learning. You can also participate in research-driven projects while accessing advanced AI labs and collaborations with technology companies in Vancouver’s tech sector. 

3. University of Waterloo

The MDSAI programme at the University of Waterloo combines AI coursework with co-op and experiential learning opportunities to help you solve real-world machine learning and data science problems. Its location near Canada’s largest tech corridor also gives you direct exposure to AI startups and major technology employers like Google, Shopify, OpenText, and NVIDIA. 

4. McGill University

An MS in Computer Science at McGill University will give you exposure to cutting-edge AI research projects in association with Mila – Quebec Artificial Intelligence Institute, a world-renowned AI research centre, founded by Yoshua Bengio.

5. University of Montreal

The Computer Science department at the University of Montreal does cutting-edge work in video games and computer graphics, artificial intelligence, computational linguistics, and quantum computing. You will also get the option to study abroad in France for six months through their student exchange program.

6. The University of Alberta

An MS in Computer Science at The University of Alberta will give you direct access to Alberta Machine Intelligence Institute (Amii), one of Canada’s major AI research hubs. From gaming to robotics, you will learn basic and applied aspects of AI while earning from globally recognised AI researchers.

Admission requirements for MS in AI programmes across Canada vary by university, but most expect a strong academic background in computer science, mathematics, engineering, or related fields.

Eligibility Criteria 

Here are the common eligibility requirements for a Master's in AI in Canada: 

• Bachelor’s degree: 4 years or equivalent in STEM or related fields
• Minimum GPA: 3.0 on a 4.0 scale (or 70–75%)
• Mathematics Foundation: Background in statistics, linear algebra, and algorithms
• English language proficiency scores:IELTS 7.0+ or TOEFL 100+
• GRE scores: Only if required by the university

Documents Required for an MS in Artificial Intelligence in Canada

The commonly required documents for an MS in AI in Canada include:

• Academic mark sheets and transcripts
• Updated Resume or CV highlighting technical skills and experience
• 2 LORs from professors or employers
• A SOP focused on your AI interests and career goals
• Valid Passport copy
• Canada Student Visa
• Essay (if required)
• Research proposal (for thesis-based MS in AI)

Here are the steps required to apply for an MS in AI in Canada.

• Step 1: Shortlist universities and fill out the application form available on their respective websites.
• Step 2: Gather your academic transcripts and other required documents like LOR, SOPs, etc.
• Step 3: Submit your English language test scores, like TOEFL or IELTS, as required by the university.
•  Step 4: Once the university accepts your application form, send a reply and pay the tuition fee within the allotted time to confirm your admission.
• Step 5: Apply for a Canadian study permit once you receive the acceptance letter from your college.

The average cost to study an MS in Artificial Intelligence (AI) in Canada for Indian students ranges from $28,000 to $60,000 CAD(₹16 lakhs to ₹40 lakhs) per year. Besides tuition fees, your overall cost of studying will depend on your city, accommodation type, and lifestyle.

Tuition Fee

The tuition fees for an MS in AI in Canada generally range between CAD 10,000 and CAD 30,000 (₹6.8 lakhs to ₹20 lakhs) per year for international students. A thesis-based MS in AI can partially fund your tuition fee through research assistantships.

Cost of Living

Living expenses in Canada depend largely on the city, lifestyle, and type of accommodation you choose. Average living expenses for Indian students in Canada are CAD 18,000 to CAD 30,000 (₹12 lakhs to ₹20 lakhs) per year.

Universities in Canada offer merit-based entrance scholarships for international students pursuing an MS in Artificial Intelligence. Here are a few scholarships that can significantly reduce your tuition costs while studying an MS in AI. 

Studying MS in Artificial Intelligence in Canada can lead to careers across data science, machine learning, and AI product management with an average salary ranging from $ 81,350 to $150,000 (₹56 lakhs to ₹1 crore) per year.

Here are some of the top career opportunities after an MS in AI in Canada:

Source: Payscale (Conversion Rate: 1 CAD= ₹68.5)

Pursuing a Master's in Artificial Intelligence (AI) in Canada can place you at the centre of one of the fastest-growing technology ecosystems globally. Choose an MS in AI programme that aligns with your long-term career plans.

If you're still unsure about the ideal Canadian university for your master's degree in AI, let Yocket Premium guide you. Our experts will evaluate your profile, aspirations, and preferences for a personalised study abroad plan.