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” | 83–87%“Mid 80s” | 78% |
| Required coursesforced into your top 6 — options are the row below | MCV4UMHF4U | ENG4UMCV4UMHF4U | MCV4UMHF4U |
| Choose one ofany of these satisfies it | — | — | — |
| Prerequisitesas published |
|
|
|
| More than marks?supplementary application | Yes
| Marks only | Marks only |
| Co-op | Available | Available | No |
| Degree | — | — | — |
| First-year intakewhere published | — | 400 | — |
| What you study | MathematicsStatistics | Artificial IntelligenceComputer ScienceInformation SystemsInformation Technology | Computer ScienceEconomicsMathematicsPhysics |
| What it is | You study pure mathematics and statistical analysis — everything from algebra and calculus to probability and data methods. This program includes optional co-op terms where you work in industry or research settings alongside your studies, giving you real experience before graduation. It suits people who want deep technical skills in mathematics or statistics and prefer learning through a mix of classroom theory and workplace application. | 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. | A three-year mathematics degree where you study pure and applied mathematics without the depth required for honours. You choose electives from computer science, physics, statistics, and economics to build a program suited to your interests rather than following a fixed honours sequence. This suits students who want solid mathematical training for careers in business, teaching, or technical fields without committing to graduate-level mathematics study. |
| The door tomajors you reach through it | mathematicsstatistics | computer sciencesoftware engineering | Applied to directly |
| Entrance awardsat this campus, by average | 4 published, 1 with no applicationfrom 80%See them | None published by average | 16 published, 9 with no applicationfrom 75%See them |
| Source | Brock University on OUInfo | Queen's University on OUInfo | Carleton University 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 – Honours (4 years)78%+
- Management Engineering (Co-op Only)83–90%+
- Mathematics (Regular/Co-op)83–87%+
- Science des données- Informatique et mathématiques (Double grade – 5 ans)78–80%+
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.