3 programs, side by side
Rows marked with a dot are where these differ. Everything is each university’s own published wording; the “your average” row is yours, calculated the way each program does it.
| Your average, their wayrequired courses forced in | |||
|---|---|---|---|
| Published rangetheir exact wording | 73–77%“Mid-70s” | 75–80%“75-80%” | 75% |
| Required coursesforced into your top 6 — options are the row below | ENG4UICS4UMHF4U | ENG4UMHF4U | No course codes parsed — see prerequisites |
| Choose one ofany of these satisfies it |
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| Prerequisitesas published |
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| More than marks?supplementary application | Marks only | Marks only | Marks only |
| Co-op | Available | No | No |
| Degree | Bachelor of Science, BSc, Bachelor of Science and Management, BSc&Mgt | — | — |
| First-year intakewhere published | — | — | 21 |
| What you study | Artificial IntelligenceComputer Science | Computer Science | Computer ScienceDesignInterdisciplinary StudiesOthers in Technology |
| What it is | You study how to build computer systems that learn and make decisions on their own, using mathematics, programming, and data analysis. This program pairs computer science fundamentals with a focused specialization in artificial intelligence techniques and applications. A co-op component lets you work terms in industry alongside your studies. It suits people who want hands-on experience applying AI to real problems while completing their degree. | You study computer science — programming, algorithms, data structures, software design, and related computing theory — on a schedule that lets you work or manage other commitments at the same time. Part-time means you take fewer courses per term and spread your degree over a longer period than full-time students. This suits people who need to balance education with work, caregiving, or other responsibilities. | You study design across multiple disciplines, blending computer science, visual and product design, and hands-on problem-solving. Unlike a single-discipline design program, this approach lets you explore how technology, creativity, and practical application intersect in real projects. It suits people who want to design solutions but aren't sure whether they lean toward coding, visual work, or engineering, and who learn best by doing. |
| The door tomajors you reach through it | Applied to directly | Applied to directly | Applied to directly |
| Entrance awardsat this campus, by average | 3 published, 3 with no applicationfrom 85%See them | 2 published, 0 with no applicationfrom 85%See them | 22 published, 5 with no applicationfrom 75%See them |
| Source | Ontario Tech University on OUInfo | Toronto Metropolitan University on OUInfo | University of Ottawa on OUInfo |
Also compare with
Same subject area and a similar published range, at a campus you have not got in the table yet.
- Conception multidisciplinaire - apprentissage expérientiel (4 ans)75%+
- Génie de la conception multidisciplinaire (4 ans)78%+
- Data Science and Analytics – Computational Data Sciences77–80%+
- Data Science and Analytics – Financial Analytics77–80%+
- Engineering – Computer Systems75–80%+
- Digital Media (BA) – Lassonde School of Engineering73–80%+
Ranges are what each university publishes, not guaranteed cutoffs, and limited-enrolment programs often admit above them. Confirm anything you are about to act on with the university; each column links to its source.