U of T (Scarborough) Computer Science (regular and co-op)
University of Toronto — Scarborough
The published admission average for Computer Science (regular and co-op) at University of Toronto — Scarborough is 93–100% for September 2027 entry, under OUAC code TXC.
You study the theory and practice of computing, from writing software and building systems to artificial intelligence and how businesses use technology. The co-op stream requires you to alternate between semesters of coursework and paid work terms at tech companies, giving you real workplace experience alongside your degree. This suits students who want hands-on industry exposure while learning, or who prefer the traditional full-time study path.
Plain-English summary. The universities publish requirements but not an explanation of the program, so this one is written for you and checked against the official listing above. Read the university’s own page before you decide.
Admission average
93–100%
OUAC code
TXC
First-year spaces
165
University of Toronto — Scarborough publishes this as “Mid-90s (regular); high 90s (co-op)”
What’s the U of T (Scarborough) Computer Science (regular and co-op) acceptance rate?
University of Toronto — Scarborough doesn't publish an acceptance rate for Computer Science (regular and co-op), and no Ontario university publishes one for any program. What it publishes is the admission average: 93–100% for September 2027 entry. U of T (Scarborough) acceptance rate, program by program
Admission requirements
- Required
- ENG4U, MCV4U, MHF4U
U of T (Scarborough)’s own wording
- ENG4U
- MCV4U
- MHF4U
- See Ontario high school course codes.
How many other programs require these outright:
Also required
- No Supplementary Application Form required.
- Alternative Offers
- Alternative offer to another U of T Scarborough program; automatic consideration.
What it costs
U of T (Scarborough) charges U of T (St. George)'s tuition: $6,220 for an Ontario student in arts and science in 2026–27. U of T (St. George) tuition, program by program
Source: University of Toronto — Scarborough on Ontario Universities’ Info. Grade ranges change year to year and are not guarantees — confirm with the university before you apply.
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
Deadline reminders
Application dates move, and supplementary deadlines land before the January OUAC one. We’ll email you before the ones that apply to Computer Science (regular and co-op).
We send your email address and the programs you’ve starred, so the reminders are the right ones. Your marks and your average are never sent — they stay in this browser. Deadline emails only, a week before and the day before each date, and every one has a link to stop them.