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 | 80–86%“80 to 86%” | 77–87%“High 70s to mid 80s” | 73–80%“Mid to high 70s” |
| Required coursesforced into your top 6 — options are the row below | ENG4UMHF4U | ENG4UMCV4UMHF4U | ENG4UFRA4UMCV4UMHF4U |
| Choose one ofany of these satisfies it | — |
| — |
| Prerequisitesas published |
|
|
|
| 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 | — | 55 | — |
| What you study | Business StudiesEconomicsFinanceManagement Studies | Business StudiesEconomicsMathematicsStatistics | AccountingArtificial IntelligenceBusiness StudiesEconomics |
| What it is | You study how businesses make money and financial decisions, combining economics, accounting, and management. This program includes a mandatory work placement period where you alternate between classroom and paid internships in real companies, letting you apply what you learn while building experience. It suits students who want practical business skills alongside theory and prefer learning on the job as much as in lectures. | Data Science is the study of extracting useful insights and predictions from large amounts of data using mathematics, statistics, and computer programming. This program combines mathematics and statistics with practical business and economics applications, so you learn both the theory behind data analysis and how to apply it to real-world problems. It suits people who enjoy working with numbers and want to understand how organizations use data to make decisions, especially if you want hands-on workplace experience through co-op placements. | 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 | finance | Applied to directly | Applied to directly |
| Entrance awardsat this campus, by average | 12 published, 4 with no applicationfrom 75%See them | 29 published, 4 with no applicationfrom 75%See them | 13 published, 4 with no applicationfrom 75%See them |
| Source | University of Guelph on OUInfo | York 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.