Masters in Artificial Intelligence in Canada

Artificial Intelligence is everywhere—from self-driving cars to voice assistants like Alexa and Siri. AI jobs have grown 32% in the last two years in Canada - it is one of the best places to study and work in this field. 

Why Choose Canada for AI?

• AI programs at University of Toronto, UBC, and McGill rank among the best.
• High demand for AI experts in tech, healthcare, finance, and robotics.
  AI jobs are on Canada’s priority list for permanent residency.
• Most master’s programs last 12 to 24 months, with tuition fees ranging from CAD 30,000 – 60,000 (₹18 – 37 lakh) per year.
• Salaries for AI professionals range between CAD 80,000 – 120,000 (₹50 – 74 lakh) per year.

Example: The MSc in AI at Queen’s University is a 12-month course that includes industry projects with AI startups and big tech companies.

If you’re looking for a high-paying career, find out more about a Master's in Artificial Intelligence in Canada.

Read: Education System in Canada

Quick Highlights of Master's in Artificial Intelligence in Canada

Here’s a quick overview of what to expect when pursuing a Master's in Artificial Intelligence in Canada.

Which Universities Offer the Best Master’s AI Programs in Canada?

Canada is a global leader in Artificial Intelligence research, with universities offering some of the best AI master’s programs in the world. The programs provide the technical skills and industry connections needed for careers in AI, machine learning, and data science.

Here’s a look at the top universities for Master's in Artificial Intelligence in Canada.

1. University of Toronto – Master of Science in Applied Computing (MScAC) - AI Specialization

Location: Toronto, Ontario – Canada’s AI & tech hub

The University of Toronto is a world leader in AI research, with faculty members like Geoffrey Hinton, one of the pioneers of deep learning. The MScAC (AI Specialization) program combines AI theory with hands-on industry experience, offering a 4-month internship with top tech companies.

QS World University Rankings 2025: #1 in Canada for Computer Science & AI

Admission Requirements

Bachelor’s Degree: Minimum B+ (77-79%) in Computer Science, Engineering, or a related field.
English Proficiency: IELTS 7.0+, TOEFL 100+.
Programming Skills: Strong knowledge of Python, Machine Learning, and Deep Learning.
GRE: Not required.

Tuition Fees

CAD 55,000 - 60,000 per year (₹34-37 lakh)

Specializations & Courses

Deep Learning & Neural Networks
AI for Robotics & Automation
Big Data & AI Ethics
Natural Language Processing (NLP)

2. McGill University – Master’s in Machine Learning & AI

Location: Montreal, Quebec – Strong AI research & bilingual job market

McGill University is known for its AI research labs and close ties to Mila (Montreal Institute for Learning Algorithms), a world-leading AI research center. The program offers cutting-edge courses in AI ethics, reinforcement learning, and computer vision.

QS World University Rankings 2025: #2 in Canada for AI Research

Admission Requirements

Bachelor’s Degree: Minimum B (75%) or higher in Computer Science, Mathematics, or Engineering.
English Proficiency: IELTS 7.0+, TOEFL 100+.
Mathematical & Programming Skills: Strong knowledge of linear algebra, probability, and Python.
GRE: Recommended but not required.

Tuition Fees

CAD 40,000 - 45,000 per year (₹24-27 lakh)

Specializations & Courses

AI for Healthcare & Medicine
Ethical AI & Bias in Machine Learning
Generative AI & Computer Vision
Autonomous Systems & Robotics

3. University of Alberta – Master of Science in Computing Science (AI Specialization)

Location: Edmonton, Alberta – Top-ranked for AI & reinforcement learning

The University of Alberta is one of the best AI research universities in the world, known for its expertise in reinforcement learning and deep learning. It has strong connections to DeepMind and Amii (Alberta Machine Intelligence Institute).

QS World University Rankings 2025: #3 in Canada for AI & Machine Learning

Admission Requirements

Bachelor’s Degree: Minimum B+ (77-79%) in Computer Science, Data Science, or related fields.
English Proficiency: IELTS 7.0+, TOEFL 100+.
Programming & ML Knowledge: Python, TensorFlow, and PyTorch skills required.
GRE: Not required.

Tuition Fees

CAD 38,000 - 42,000 per year (₹23-25 lakh)

Specializations & Courses

Reinforcement Learning & AI Game Theory
AI in Robotics & Automation
Computer Vision & Deep Learning
AI in Finance & Business Analytics

4. University of British Columbia (UBC) – Master of Data Science (MDS) – AI Track

Location: Vancouver, British Columbia – Strong in AI for Data Science & NLP

UBC’s Master of Data Science (MDS) with AI specialization is perfect for students who want to apply AI to data science, finance, and big data. The program is highly practical, industry-focused, and includes a capstone project with real-world AI applications.

QS World University Rankings 2025: #4 in Canada for AI & Machine Learning

Admission Requirements

Bachelor’s Degree: Minimum B+ (77-79%) in Computer Science, Statistics, or Data Science.
English Proficiency: IELTS 7.0+, TOEFL 100+.
Programming & Data Skills: Python, R, SQL, and Machine Learning.
GRE: Not required.

Tuition Fees

CAD 45,000 - 50,000 per year (₹27-30 lakh)

Specializations & Courses

AI for Big Data & Cloud Computing
Machine Learning for Business Analytics
Natural Language Processing (NLP) & Speech Recognition
Deep Learning for Financial Forecasting

5. Université de Montréal – Master’s in Machine Learning & AI

Location: Montreal, Quebec – Home to Mila, one of the world’s leading AI research labs

The Université de Montréal is a global powerhouse in AI research. It is closely linked to Mila (Montreal Institute for Learning Algorithms), founded by Yoshua Bengio, one of the pioneers of deep learning. The university offers a Master’s in Computer Science (AI & Machine Learning Track), with a strong focus on research.

QS World University Rankings 2025: #1 in Canada for AI Research

Admission Requirements

Bachelor’s Degree: Minimum B+ (77-79%) in Computer Science, Mathematics, or Engineering.
English Proficiency: IELTS 7.0+, TOEFL 100+.
French Requirement: Some courses are in French, so basic proficiency is recommended.
Mathematics & Programming Skills: Strong knowledge of Python, deep learning frameworks, and linear algebra.
GRE: Not required.

Tuition Fees

CAD 35,000 - 40,000 per year (₹21-24 lakh)

Specializations & Courses

Deep Learning & Reinforcement Learning
Generative AI & Neural Networks
AI for Healthcare & Biomedical Research
AI Ethics & Responsible AI

Must Read: Why Study in Canada

6. Simon Fraser University (SFU) – Master of Science in Computing Science (AI Specialization)

Location: Vancouver, British Columbia – Growing AI & tech hub

Simon Fraser University is one of Canada’s top universities for AI and data science, offering a Master’s in Computing Science with AI & Machine Learning Specialization. SFU has strong industry connections and is known for its work in computer vision, NLP, and AI ethics.

QS World University Rankings 2025: Top 5 in Canada for AI & Data Science

Admission Requirements

Bachelor’s Degree: Minimum B (75%) in Computer Science, Data Science, or Engineering.
English Proficiency: IELTS 6.5+, TOEFL 90+.
Programming Skills: Python, TensorFlow, PyTorch required.
GRE: Recommended but not required.

Tuition Fees

CAD 38,000 - 42,000 per year (₹23-25 lakh)

Specializations & Courses

AI for Robotics & Automation
NLP & Speech Recognition
Deep Learning for Image Processing
Big Data & Cloud AI

7. University of Waterloo – Master of Mathematics in AI

Location: Waterloo, Ontario – Close to Canada’s biggest AI & tech companies

The University of Waterloo is a top choice for students interested in AI, data science, and machine learning. Its Master of Mathematics in AI is unique because it blends advanced AI techniques with mathematical modeling, making it ideal for students looking for careers in AI-driven finance, robotics, and cloud computing.

QS World University Rankings 2025: Top 4 in Canada for AI & Machine Learning

Admission Requirements

Bachelor’s Degree: Minimum B+ (77-79%) in Computer Science, Mathematics, or Statistics.
English Proficiency: IELTS 7.0+, TOEFL 100+.
Strong Math & Programming Background: Python, R, Linear Algebra, Probability.
GRE: Not required.

Tuition Fees

CAD 40,000 - 45,000 per year (₹24-27 lakh)

Specializations & Courses

Mathematical Foundations of AI
AI for Cybersecurity & Risk Analysis
Quantum Computing & AI
Autonomous Systems & Robotics

What Will You Study in a Master's in AI Program?

The program covers computer science, data science, and advanced AI techniques. Whether you want to build self-driving cars, chatbots, or AI-driven healthcare solutions, the right courses will prepare you for it.

Core Subjects

• Machine Learning & Deep Learning – How computers learn from data.
• Natural Language Processing – How AI understands speech and text.
• Computer Vision – How AI recognizes images and videos.
• Big Data & Cloud Computing – How AI handles large data and cloud storage.
• AI Ethics & Bias – How to prevent unfair AI results.
• Optimization & Statistical AI – How math makes AI better.

Specializations

• AI in Healthcare – AI for medical tests and drug research.
• Autonomous Systems – AI for self-driving cars and robots.
• AI in Finance – AI for fraud detection and banking.
• Cognitive Computing – AI for smart assistants and business tools.

Hands-on Learning

• Industry Projects – Work with companies like Google and Amazon.
• Internships – Gain real-world AI experience.
• Capstone Research – Solve real problems using AI.

Eligibility and Admission Requirements for a Master's in Artificial Intelligence in Canada

AI is a competitive field, and universities in Canada look for students with strong analytical and coding skills. Here’s what you need to apply:

Academic Qualifications

• A bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field
• A B+ (77-79%) or higher in your undergraduate studies
• Some universities accept students from physics, economics, or statistics backgrounds, but they may need to take extra courses

Programming & Technical Skills

• Python is a must, along with knowledge of TensorFlow, PyTorch, and other AI frameworks
• A strong background in mathematics, linear algebra, probability, and statistics
• Some programs may require you to complete a coding test or AI-related project as part of the application

English Language Requirements

• IELTS: 6.5 - 7.0 (no band below 6.0)
• TOEFL: 90 - 100 (with a minimum score in each section)
• PTE: Some universities accept PTE scores of 65+

Other Requirements (Varies by University)

• GRE: Some universities recommend it, but it’s usually not required
• Statement of Purpose (SOP): A clear explanation of why you want to study AI and your career goals
• Letters of Recommendation (LORs): Two strong references from professors or employers
• Resume/CV: Showcasing your AI projects, internships, and research work

Can Non-CS Students Apply?

• Yes, but they may need to take prerequisite courses in programming and AI fundamentals
• Some universities offer preparatory bridge programs for students from non-tech backgrounds

How to Apply for a Master's in AI?

• Step 1: Shortlist Universities – Choose universities based on tuition fees, AI specializations, and career opportunities.
• Step 2: Check Admission Requirements – Review eligibility, GPA requirements, and entrance exams (if needed).
• Step 3: Take Required Tests – Prepare for IELTS/TOEFL (English proficiency) and GRE (if required).
• Step 4: Gather Your Documents – Prepare all necessary paperwork.
• Step 5: Submit Applications – Apply through the university portal or common platforms like OUAC (Ontario universities).
• Step 6: Track Deadlines – Submit applications before the deadline. Some universities offer rolling admissions.
• Step 7: Wait for Offers & Apply for Visa – Once accepted, start your student visa application and arrange funding.

Required Documents

• Statement of Purpose (SOP) – A well-written SOP explaining why you want to study AI.
• Letters of Recommendation (LORs) – Usually 2-3 letters from professors or employers.
• Resume/CV – Highlights your AI-related experience, research, and projects.
• Academic Transcripts – 10th, 12th, and bachelor’s degree marksheets.
• English Proficiency Test Scores – IELTS/TOEFL score report.
• GRE Score (If Required) – Needed by some universities.

Deadlines & Intakes

• Fall Intake (September) – Most popular, apply between October to March.
• Winter Intake (January) – Limited programs, apply by June to October.
• Summer Intake (May) – Few universities offer AI programs in summer.

Suggested Read: Average Salary in Canada

How Much Does a Master’s in AI Cost in Canada?

The cost of studying Master's in Artificial Intelligence in Canada varies by university and city. Tuition fees are different for each university, and living costs depend on where you stay.

Tuition Fees & Other Costs

Additional Costs

• Lab Fees & Course Materials – CAD 1,500 to 3,000 per year.
• Health Insurance – CAD 800 to 1,200 per year (varies by province).
• Student Services & Technology Fees – CAD 500 to 1,000 per year.

Cost of Living in Major Cities

Financial Planning Tips for International Students

• Apply for Scholarships – Many universities offer merit-based and need-based financial aid.
• Work Part-Time – Students can work up to 20 hours per week to cover living expenses.
• Choose Affordable Housing – Living off-campus or with roommates helps save money.
• Use Student Discounts – Public transport, food, and entertainment have student discounts.

Master's Scholarships for AI Students in Canada

Many universities, government bodies, and companies offer scholarships to AI students. These scholarships help cover tuition fees, living expenses, and research costs.

Types of Scholarships Available

1. Merit-Based Scholarships – Given to students with high academic scores and research experience in AI.
2. Need-Based Scholarships – For students who need financial support to study.
3. Government-Funded Scholarships – Provided by the Canadian government to attract AI talent.
4. University-Specific Scholarships – Offered by universities for AI and tech students.
   Industry-Funded Scholarships – Given by tech companies for students working in AI projects.

Top Scholarships for AI Students

• Vanier Canada Graduate Scholarship – Covers tuition and living costs for top students.
• Ontario Graduate Scholarship (OGS) – Available for AI students in Ontario universities.
• University of Toronto AI Scholarship – For students in AI and data science programs.
• UBC Graduate Support Initiative – Financial aid for international students.
• Mitacs Globalink Research Award – Funds AI research projects in Canada.

How to Secure a Scholarship?

• Apply Early – Scholarship deadlines are before university deadlines.
• Strong Academic Record – Higher grades increase chances of winning scholarships.
• Work on AI Projects – Hands-on AI experience makes applications stronger.
• Write a Good Scholarship Essay – Show passion for AI and future goals.

Student Visa & Work Rules for International Students

Studying in Canada means you need a student visa (study permit). Here’s what you should know:

Visa Requirements for Studying AI in Canada

• University Offer Letter – You need an official admission letter.
• Proof of Funds – Show you can afford tuition and living expenses.
• English Proficiency – IELTS (6.5 or higher) or TOEFL (90-100).
• Medical Exam & Biometrics – Required for some countries.
• Visa Fee – Approx. CAD 150 (~₹9,300).

Work Rules for Students in Canada

• During Study – You can work up to 20 hours per week (part-time) during classes.
• During Holidays – Full-time work is allowed during semester breaks.
• On-Campus Jobs – No extra permit needed for on-campus work.

Internships & Co-op Opportunities

• Many AI programs offer paid internships with tech companies.
• Co-op programs allow students to work for 4-12 months in AI-related jobs.
• Some universities have tie-ups with Google, Amazon, IBM, and Canadian AI startups.

Job Prospects After a Master's in Artificial Intelligence in Canada

According to reports, demand for AI professionals in Canada has increased by 32% since 2022, and top companies are actively hiring AI graduates.

High-Demand AI Jobs in Canada

Industries Hiring AI Graduates

• Tech & Software Development – AI for automation, cloud computing, and software solutions.
• Finance & Banking – AI in fraud detection, trading algorithms, and risk management.
• Healthcare & Biotech – AI in diagnostics, medical imaging, and drug development.
• Cybersecurity – AI-powered threat detection and network security.
• Retail & E-commerce – AI-driven customer insights, inventory forecasting, and recommendation systems.

How Universities Help with Job Placements

• Internships & Co-op Programs – Many AI programs offer paid work experience with companies like Google, Amazon, and IBM.
• Career Fairs & Networking Events – Universities organize events where students meet recruiters from top AI firms.
• AI Research Labs – Working on research projects helps students gain hands-on experience.
• Alumni Networks – Many universities have strong AI alumni groups that help students connect with employers.

Ready to Apply? Here’s What to Do Next!

Getting into a Master's in Artificial Intelligence in Canada requires planning, but with the right steps, you can make it happen!