2 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” |
| Required coursesforced into your top 6 — options are the row below | ENG4UMHF4U | ENG4UMCV4UMHF4U |
| Choose one ofany of these satisfies it |
| — |
| Prerequisitesas published |
|
|
| More than marks?supplementary application | Marks only | Marks only |
| Co-op | Available | Available |
| Degree | — | — |
| First-year intakewhere published | 50 | 400 |
| What you study | MathematicsStatistics | Artificial IntelligenceComputer ScienceInformation SystemsInformation Technology |
| What it is | You study pure and applied mathematics along with statistics, learning how to solve problems using mathematical reasoning and data analysis. Unlike a straight math degree, you can choose to do co-op, which means you work at paid internships in industry or research between study terms. This suits people who want flexibility in their career path and value real-world experience alongside theory. | 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. |
| The door tomajors you reach through it | mathematics | computer sciencesoftware engineering |
| Entrance awardsat this campus, by average | 29 published, 4 with no applicationfrom 75%See them | None published by average |
| Source | York University on OUInfo | Queen's 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%+
- Mathematics – Non-Honours (3 years)78%+
- Science des données- Informatique et mathématiques (Double grade – 5 ans)78–80%+
- Management Engineering (Co-op Only)83–90%+
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.