Artificial Intelligence programs in Ontario
47 programs across 14 campuses, with published admission ranges starting at 70%. Sorted by the range each one publishes, lowest first, so you can see where you land.
Programs
47
Campuses
14
Lowest range
70%
What this leads to
The picture for artificial intelligence as of 2026-08-17, not a description of this particular program.
Most graduates work as machine learning engineers, data scientists, or AI engineers building and deploying models for companies across tech, finance, healthcare, and manufacturing. Others become data analysts, analytics engineers, or AI support specialists, cleaning data and validating models under more senior researchers.
In its favour
- Entry-level salaries start at $75,000–$86,000 CAD and grow quickly; senior roles exceed $150,000–$190,000
- Job openings are real: 2,982+ AI engineer positions posted in Canada right now, with 35,000+ new roles expected over five years
- Practical skills from internships matter more than pedigree; employers hire on portfolios and shipped projects, not just grades
- The field itself is not being automated; you are learning to build the tools that automate other jobs
Worth knowing
- Entry-level positions are shrinking: early-career workers in AI-exposed roles have seen 13% employment decline, which is the opposite of growing
- Internships and co-ops are now essential, not optional—if you graduate without them, you will struggle to compete against candidates with real project experience
- You must constantly learn new frameworks and tools; the baseline Python knowledge from year one becomes obsolete by year four
- Routine junior tasks (data cleaning, basic model training) are already being automated; you need to level up to system design and orchestration faster than your degree timeline allows
How AI is changing this work
AI is automating the repetitive junior work that used to be the entry point into the field—data sorting, basic preprocessing, training baseline models. This is happening now, not in 2035. At the same time, demand is growing for people who can architect systems, audit AI output for bias and security, and combine domain knowledge with ML skills. If you're prepared to get hands-on experience during undergrad (internships, real projects, shipped work), you're entering a field that is augmenting its workforce, not shrinking it. If you're hoping for a lecture-heavy degree followed by entry-level rote work, you will graduate into a role that no longer exists.
Where this came from (6 sources)
- 1. AI-Proof Careers: How to Future-Proof Your Degree in Canada (2026)
- 2. Artificial Intelligence Engineer (AI) Jobs in Canada - 2026 | Wellfound
- 3. 2,982 artificial intelligence engineer jobs in Canada, June 2026 | Glassdoor
- 4. The Complete Guide to Starting an AI Career in Canada in 2026
- 5. The 2026 Canadian AI & Employment Report
- 6. 1,222 artificial intelligence jobs in Toronto, ON, August 2026 | Glassdoor
All 47 programs
- 70–73%Ontario TechBusiness Analytics and Artificial Intelligence
- 70–73%Ontario TechCommerce
- 70–75%WindsorComputer Science
- 70%LakeheadComputer Science (co-op available) (Thunder Bay and Barrie)
- 73–77%Ontario TechArtificial Intelligence (Computer Science)
- 73–77%Ontario TechArtificial Intelligence (Computer Science) (Co-op)
- 73–77%Ontario TechArtificial Intelligence Engineering
- 73–77%Ontario TechArtificial Intelligence Engineering (Co-op)
- 73–80%York (Glendon)International Studies & Business Administration (iBA/BBA Dual Degree)
- 73–80%York (Glendon)Mathematics and Its Applications (BA, iBA)
- 73–77%Ontario TechMechanical Engineering
- 73–77%Ontario TechMechanical Engineering (Co-op)
- 73–77%Ontario TechMechatronics Engineering
- 73–77%Ontario TechMechatronics Engineering (Co-op)
- 75–80%CarletonEngineering – Computer Systems
- 75–80%CarletonEngineering – Software
- 77–80%BrockData Science and Analytics – Computational Data Sciences
- 77–80%BrockData Science and Analytics – Financial Analytics
- 80–83%BrockBusiness Administration
- 80–85%CarletonComputer Science
- 80–83%YorkComputer Science (BA - Co-op available)
- 80–83%YorkComputer Science (BSc - Co-op available)
- 80–83%YorkComputer Science (iBA - Co-op available)
- 80–83%YorkComputer Science (iBSc - Co-op available)
- 80–85%CarletonCybersecurity
- 80–83%YorkCybersecurity (BA - Co-op available)
- 80–83%YorkCybersecurity (BSc - Co-op available)
- 80–85%CarletonData Science
- 80–85%CarletonEngineering – Mechatronics
- 80–87%U of T (St. George)Humanities
- 82–85%CarletonNursing with RN Prescribing
- 83–87%Queen'sComputing
- 83–93%HuronManagement and Organizational Studies
- 83–90%WaterlooManagement Engineering (Co-op Only)
- 83–87%WaterlooMathematics (Regular/Co-op)
- 87–90%BrockBusiness Administration Co-op International Dual Degree
- 87–93%WaterlooComputer Engineering (Co-op Only)
- 87–93%WesternEngineering
- 87–93%WaterlooMechatronics Engineering (Co-op Only)
- 87–93%WaterlooSystems Design Engineering (Co-op Only)
- 90–97%WaterlooBusiness Administration (Laurier) and Computer Science (Waterloo) Double Degree (Co-op Only)
- 90–97%WaterlooComputer Science (Regular/Co-op)
- 90–97%WaterlooComputing and Financial Management (Co-op Only)
- 90–97%WaterlooSoftware Engineering (Co-op Only)
- 93–100%U of T (Scarborough)Computer Science (regular and co-op)
- —TrentArtificial Intelligence (Honours Arts)
- —TrentArtificial Intelligence (Honours Science)
Other subjects
- Business Studies 203
- Interdisciplinary Studies 187
- Computer Science 135
- Education Studies 117
- Environmental Studies 116
- Psychology 109
- General or Integrated Engineering 104
- Law & Criminology 101
- Media and Communication Studies 98
- Economics 95
- Biological Sciences 92
- Others in Subjects Related to Medicine 92
Ranges are what universities publish, not guaranteed cutoffs. Work out your top 6 to see which of these you actually clear.