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 | 80–87%“Low to Mid-80s” | 65%“65%+” | 73–80%“Mid to high 70s” |
| Required coursesforced into your top 6 — options are the row below | ENG4UMCV4U | ENG4UMHF4U | ENG4UFRA4UMCV4UMHF4U |
| 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 | Marks only |
| Co-op | Available | Available | No |
| Degree | — | — | Bachelor of Arts, BA, International Bachelor of Arts, iBA |
| First-year intakewhere published | — | — | — |
| What you study | Computer ScienceMathematicsStatistics | Computer Science | AccountingArtificial IntelligenceBusiness StudiesEconomics |
| What it is | This program combines mathematics, statistics, and computer science to prepare you for work with data. The "Pathway" structure means you'll study foundational theory first, then specialize in one area as you progress. The mandatory co-op placements let you apply what you're learning in real workplaces while you study. It suits people who want to move beyond pure math into practical problem-solving with data and code. | You study the mathematical and programming foundations of artificial intelligence and data analysis, including how to build systems that learn from large datasets and make predictions. This program goes deeper into AI and statistics than a general computer science degree. It suits people who want to work with machine learning, data analysis, or AI systems and are comfortable with both math and coding. | This program lets you study mathematics while choosing how to apply it — through business, economics, statistics, artificial intelligence, or education. Unlike a pure mathematics degree, you're expected to connect mathematical theory to real-world problems in fields like finance, operations, or data analysis. It suits students who enjoy math but want flexibility to explore where it leads them, rather than committing to one specialty upfront. |
| The door tomajors you reach through it | mathematicsstatistics | statistics | Applied to directly |
| Entrance awardsat this campus, by average | None published by average | 7 published, 7 with no applicationfrom 80%See them | 13 published, 4 with no applicationfrom 75%See them |
| Source | Queen's University on OUInfo | Algoma University on OUInfo | York University — Glendon on OUInfo |
Also compare with
Same subject area and a similar published range, at a campus you have not got in the table yet.
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.