Study Artificial Intelligence in Canada: 5 AI & Business-Technology Programs for 2027
Not every AI course is the same. Some suit a student straight out of Grade 12; others are master’s degrees for graduates. Here is how to choose the right one for your profile — not just the most popular one.
Thinking about how to study AI in Canada? Artificial Intelligence is changing how businesses run, how products are built and how decisions get made. If you are planning a career in AI, data analytics, machine learning or technology management, Canada offers several well-structured pathways that combine classroom learning with real industry experience.
But before you pay a single deposit, the more useful question is not “Which AI course is best?” — it is “Which AI course is best for my academic background, budget and career plan?” This guide walks through five AI and AI-related programs, the money and eligibility behind them, the current job market, and how a student and their parents can decide sensibly.
Watch: a quick overview before you plan to study AI in Canada.
Why AI Is a Serious, Respected Career — Not a Trend
Parents sometimes worry that “AI” is a buzzword that will fade. The data suggests the opposite: AI has moved from research labs into mainstream business, and the demand for people who can build and apply it is rising faster than the supply.
The World Economic Forum’s Future of Jobs Report 2025 lists AI and machine learning specialists, big data specialists and related roles among the fastest-growing jobs globally, and ranks “AI and big data” as the single fastest-growing skill set through 2030. In Canada specifically, the Vector Institute’s Ontario AI Snapshot recorded roughly 17,196 new AI jobs created in 2024–25 (a 101% jump), with Toronto, Vancouver, Calgary and Ottawa leading demand.
The takeaway for a family is simple: AI-related skills sit at the centre of where hiring is heading. That does not guarantee any individual a job — no course or consultant can promise that — but it does mean a well-chosen, genuinely relevant AI qualification is a reasonable long-term bet if it fits the student’s aptitude.
AI Is Not Only About Coding
The biggest misconception is that every AI career means becoming a hard-core programmer. In reality the AI ecosystem runs across a chain: Data → Analytics → Machine Learning → AI Development → Business Strategy → Digital Transformation → Risk → Ethics → Management. A student who loves building models needs a very different pathway from one who wants to use AI for business decisions. That is exactly why the five programs below sit at different points on this chain.
1. Sheridan College — Honours Bachelor of Computer Science (AI Specialization)
Sheridan College
Bachelor’s
A strongly technical undergraduate route for students who want to build a solid computer-science foundation and specialise in machine learning, NLP, deep learning and generative AI. Delivered at the Trafalgar Campus in Oakville, Ontario.
| Duration | 48 months / 4 years |
| Intakes | January & September |
| Campus | Trafalgar Campus, Oakville, ON |
| First-year tuition | CAD $23,010 |
| Academic requirement | 65% · Grade 12 Mathematics required |
| English (IELTS / PTE / Duolingo) | 6.5 (6 each) / 60 (57 each) / 115 (55 each) |
| Work-integrated learning | 4-month internship + paid co-op up to 16 months |
AI specialization areas
- Machine Learning
- Natural Language Processing
- Deep Learning
- Generative AI
- Reinforcement Learning
- AI Application Development
- Data Ethics & Governance
- Advanced NLP
Career directions
AI Engineer · Machine Learning Engineer · AI Software Engineer · AI Research Scientist.
Best for: Grade 12 students with a genuine maths/coding aptitude who want the deepest technical AI foundation.
2. Toronto Metropolitan University — Bachelor of Business Technology Management
Toronto Metropolitan University
Bachelor’s
Built around the meeting point of business and technology. A strong option for students who want to work with AI, analytics and digital transformation from a business angle rather than a pure computer-science degree.
| Duration / format | 4 years · Full-time |
| Intakes | January & September |
| Campus | Toronto, ON |
| Tuition | Approx. CAD $44,476–$44,532 per year |
| Academic requirement | 70% in Grade 12 Mathematics |
| English (IELTS / PTE / Duolingo) | 6.5 / 60 / 120 overall |
Specialization options
- Artificial Intelligence & Analytics
- Cybersecurity
- Digital Transformation
What students learn
Business strategy & innovation, data analytics & visualization, AI and automation, emerging technology, systems analysis & design, financial & project management, and leadership — with real-world industry experience.
Career directions
Business Technology Analyst · Data Analyst · AI/Analytics Consultant · Cybersecurity Analyst · Digital Transformation Specialist · IT Project Manager · Business Systems Analyst.
Best for: Students who like technology but see themselves leading projects and strategy rather than coding all day.
3. Trent University (Durham GTA) — BSc (Hons) in Artificial Intelligence
Trent University — Durham GTA
Bachelor’s
A broad AI degree with a distinctive feature: students can choose between a Bachelor of Arts or Bachelor of Science pathway depending on their interests and plans.
| Duration | 60 months |
| Intakes | January, May & September |
| Campus | Durham GTA |
| First-year tuition | CAD $35,632 |
| Academic requirement | 70% Grade 12 Mathematics |
| English (IELTS / PTE / Duolingo) | 6.5 (6 each) / 59 / 115 · English waiver with MOE (per program info) |
Popular courses
- Introduction to AI
- Applied AI & Machine Learning
- LLM & NLP
- AI in Communication
- AI Innovators in Business
- Deep Learning
- Philosophy of AI
- Statistical Learning
Career & co-op
Paid co-op with work-integrated learning across machine learning, data science, software development and research.
Best for: Students wanting a broad AI degree that blends technical and applied learning, with BA/BSc flexibility.
4. Seneca Polytechnic — Master of Artificial Intelligence Design & Development
Seneca Polytechnic
Master’s
A postgraduate option for students who already hold a bachelor’s degree and want to move into advanced, hands-on AI design and development.
| Intake | January 2027 |
| Duration | 16 months |
| First-year tuition | CAD $20,000 per year |
| Entry requirement | 4-year honours degree or equivalent · min 70% |
| Backlogs | Up to 6 accepted (per program info) |
| English (IELTS / PTE / Duolingo) | 6.5 (6.0 each) / 60 / 120 |
| Work-integrated learning | 840 hours in final two semesters (two 4-month or one 8-month internship) |
Key skills
- AI & Machine Learning
- Deep Learning
- NLP
- Computer Vision
- MLOps
- Data Science for AI
- Applied Research
- Ethics in AI
- AI Project Management
Career directions
AI Engineer · AI Project Manager · Data Scientist · Deep Learning Engineer · ML Software Engineer · Lead Data Engineer.
Best for: Graduates (often engineering/CS/IT) who want a focused, practical AI master’s with heavy internship exposure.
5. Ontario Tech University — Master of Business Analytics and AI (MBAI)
Ontario Tech University
Master’s
Sits at the intersection of business, technology, data analytics and AI. A market-driven degree focused on digital strategy, analytics, AI, business ethics and data-driven storytelling — designed for Commerce/Business graduates.
| Length / mode | 16 months · Full-time |
| Tuition | CAD $57,535 (program) · Application fee CAD $110 |
| English requirement | IELTS 7.0 or TOEFL 100 |
| Capstone | Applied Integrative Analytics Project or Business Analytics Internship |
Program courses
- AI Programming
- Big Data Systems Design
- Business Analytics
- Digital Transformation
- Ethical & Legal Issues in AI
- Security, Privacy & Trust in AI
- Visualization & Storytelling
Career directions
Analytics Consultant · Business Analyst · Data Engineer · Data Scientist · Fraud Strategist · Marketing Analyst · Quantitative Analyst · Risk Analyst.
Best for: Commerce/Business graduates who want to add advanced analytics and AI to their business background.
For context, the Government of Canada’s Job Bank shows machine-learning-engineer wages commonly ranging from roughly $30 to $70 per hour. Salaries depend heavily on the city, employer and the individual’s skills — so treat these as a realistic picture of the market, not a promise of income.
Industry Demand: Who Is Actually Hiring AI Talent?
AI hiring is no longer limited to big tech companies. As Canadian organisations move from “trying AI” to building it into daily operations, demand has spread across banking, healthcare, retail, energy, logistics and government. Recent industry reporting suggests that over 250,000 Canadian jobs will require some level of AI-related knowledge, and that roughly 60% of hiring managers planned to add permanent staff in early 2026 — while most also said they lacked the AI skills they need in-house. That gap between demand and supply is exactly what makes a relevant AI qualification valuable.
Two practical points for families. First, pay varies by sector — finance and energy AI roles sit at the top of the scale, while every industry now competes for the same limited talent. Second, hiring has shifted to a “skills-first” approach: employers increasingly care less about your last job title and more about what you can actually do with data and AI tools. That rewards students who pick a program with real projects, co-op or internships — which is why work-integrated learning appears in most of the five programs above.
Future Outcomes: Where an AI Career Can Lead
A fair question from any parent is: “Ten years from now, where does this path go?” AI is one of the few fields where the long-term outlook is backed by hard numbers rather than hype.
Just as important as market size is the career ladder. AI is not a single job you land and stay in — it is a progression. A typical path, with approximate Canadian salaries, looks like this:
The other future-proofing point is direction of travel. The World Economic Forum estimates that about 39% of workers’ current skills will be transformed or outdated by 2030 — and “AI and big data” is the fastest-growing skill of all. In plain terms: AI ability is quickly becoming a baseline expectation across many careers, not a niche add-on. A student who builds it early is positioning for where the market is heading, not where it has been.
Which Program Should You Pick to Study AI in Canada?
Your choice should follow your current education, maths background, career objective and budget — in that order. Here is the at-a-glance comparison:
| Program | Level | Duration | Key focus | Tuition (per info) |
|---|---|---|---|---|
| Sheridan College | Bachelor’s | 48 months | Computer Science + AI | $23,010 / yr |
| Toronto Metropolitan University | Bachelor’s | 4 years | Business + Technology + AI | ~$44,500 / yr |
| Trent University | Bachelor’s | 60 months | Artificial Intelligence (BA/BSc) | $35,632 / yr |
| Seneca Polytechnic | Master’s | 16 months | AI Design & Development | $20,000 / yr |
| Ontario Tech University | Master’s | 16 months | Business Analytics + AI | $57,535 total |
If you are a Grade 12 student
Look at Sheridan, Toronto Metropolitan University or Trent, depending on your maths marks and whether you lean technical (Sheridan/Trent) or business-and-technology (TMU).
If you are a graduate
Consider Seneca’s Master of AI Design & Development (more technical/applied) or Ontario Tech’s MBAI (business + analytics), which builds naturally on a Commerce or Business degree.
If you want a technical AI role
Sheridan’s CS + AI, Trent’s AI degree, or Seneca’s AI master’s line up best.
If you want AI + business
TMU’s Business Technology Management and Ontario Tech’s MBAI give the stronger business-and-technology combination.
The Work & PGWP Perspective (For Parents)
A common parent question is: “After the degree, can my child work in Canada?” Many international graduates become eligible for a Post-Graduation Work Permit (PGWP), which allows work after studies — but eligibility depends on the specific program, institution and current immigration rules, and the final decision always rests with the Canadian government.
Final Advice Before You Apply
Canada’s AI education landscape has room for both Grade 12 students and graduates — from undergraduate computer-science and AI degrees to specialised master’s programs in AI development and business analytics. The most important step is not chasing the course with “AI” in the title, but matching the program to your academic background, budget and the type of AI career you actually want.
Before applying, check the latest admission requirements, tuition fees, intake availability and eligibility directly with each institution, because these details change from cycle to cycle. If you are unsure between AI, Computer Science, Business Technology, Data Analytics or an AI master’s, get your profile assessed first.
Planning to Study AI in Canada?
If you are confused between AI, Computer Science, Business Technology, Data Analytics or an AI master’s, have your academic background, budget and career goals assessed before you commit money to any single course. Your course choice should be based on your profile — not just the popularity of the program.
Frequently Asked Questions
Do I need a coding background to study AI in Canada?
Not always. Technical degrees (Sheridan’s CS + AI, Seneca’s AI master’s) expect maths and programming aptitude. But business-and-analytics programs like TMU’s BTM and Ontario Tech’s MBAI focus more on using AI and data for decisions, so they suit students who prefer strategy over heavy coding.
Which is better for Indian students — a technical AI degree or an AI + business degree?
Neither is universally “better.” It depends on your aptitude and career goal. If you enjoy building models, go technical. If you want to lead projects, analyse data and drive business decisions, an AI + business program fits better.
What IELTS score do I need for these AI programs?
Most of these programs list IELTS 6.5 overall (with 6.0 in each band). Ontario Tech’s MBAI asks for a higher IELTS 7.0 or TOEFL 100. Always confirm the current requirement with the institution, as bands can change.
Can I work in Canada after an AI degree?
Many graduates become eligible for a Post-Graduation Work Permit, and under current rules degree-level graduates are exempt from the PGWP field-of-study list. Eligibility still depends on the program, institution and immigration rules in force at the time, and the final decision is the government’s.
How much does it cost to study AI in Canada?
Among these five, first-year tuition ranges from about CAD $20,000 (Seneca) to roughly CAD $44,500 (TMU), with Ontario Tech’s MBAI at CAD $57,535 for the full program. Add living costs and proof of funds on top. Confirm the latest figures before you plan finances.
I am a Commerce graduate — can I still study AI?
Yes. Ontario Tech’s Master of Business Analytics and AI is designed for Commerce/Business graduates and builds analytics and AI onto your existing background, without requiring a computer-science degree.
Official & Reference Sources
Program details are based on the information provided and should be confirmed with each institution. Market and career figures were drawn from:
- Government of Canada — Job Bank (machine learning engineer wages)
- IRCC — PGWP field-of-study updates
- World Economic Forum — Future of Jobs Report 2025
- Vector Institute — Ontario AI Snapshot (2024–25)
- MarketsandMarkets / industry AI market forecasts (2024–2030)
- Glassdoor, Payscale, SalaryExpert — Canada AI/ML salary data (2026)
