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 | 83–87%“Mid 80s” | 80–85%“80-85% (regular and co-op)” | 83–90%“Mid- to high-80s” |
| Required coursesforced into your top 6 — options are the row below | ENG4UMCV4UMHF4U | MCV4UMHF4U | ENG4UMCV4UMHF4USCH4USPH4U |
| Choose one ofany of these satisfies it | — | — | — |
| Prerequisitesas published |
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|
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| More than marks?supplementary application | Marks only | Marks only | Yes
|
| Co-op | Available | Available | Available |
| Degree | — | — | — |
| First-year intakewhere published | 400 | — | 90 |
| What you study | Artificial IntelligenceComputer ScienceInformation SystemsInformation Technology | Artificial IntelligenceBusiness StudiesComputer GamesManagement | Artificial IntelligenceBusiness StudiesEconomicsGeneral or Integrated Engineering |
| What it is | Computing at Queen's covers the theory and practice of building software, managing information systems, and developing artificial intelligence. You'll study programming, algorithms, data structures, and mathematics that underpin these fields. The program includes a co-op option, letting you alternate between classroom and paid work terms at tech companies, which sets it apart from a standard degree and gives you real industry experience alongside your studies. It suits people who like solving problems with code and want hands-on exposure to how software gets built in actual workplaces. | You study the theory and practice of building software, designing systems, and solving problems with computers. Carleton's program lets you focus on specializations like artificial intelligence, games, or software engineering, and includes a co-op stream where you alternate between classroom and paid work terms. This suits students who want hands-on industry experience alongside their degree and are interested in both the technical and applied sides of computing. | This program teaches you how to manage engineering projects and operations by combining business decision-making with technical knowledge of systems, data analysis, and software. Unlike a straight engineering degree, it focuses equally on the management and optimization side of engineering work, drawing from fields like operations research and artificial intelligence. It suits students who are strong in math and science but interested in leadership roles, problem-solving with data, and working on real problems through mandatory paid work terms. |
| The door tomajors you reach through it | computer sciencesoftware engineering | computer science | Applied to directly |
| Entrance awardsat this campus, by average | None published by average | 16 published, 9 with no applicationfrom 75%See them | 4 published, 3 with no applicationfrom 80%See them |
| Source | Queen's University on OUInfo | Carleton University on OUInfo | University of Waterloo on OUInfo |
Also compare with
Same subject area and a similar published range, at a campus you have not got in the table yet.
- Data Science and Analytics – Computational Data Sciences77–80%+
- Data Science and Analytics – Financial Analytics77–80%+
- Mathematics (Regular/Co-op)83–87%+
- Systems Design Engineering (Co-op Only)87–93%+
- Management and Organizational Studies83–93%+
- Business Administration Co-op International Dual Degree87–90%+
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.