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 | 80–85%“80-85%” | 77–80%“High 70s” | 73–80%“Mid to high 70s” |
| Required coursesforced into your top 6 — options are the row below | MCV4UMHF4U | ENG4U | 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 | 100 | — | — |
| What you study | Artificial IntelligenceInformation SystemsStatistics | Artificial IntelligenceComputer ScienceFinanceInformation Systems | AccountingArtificial IntelligenceBusiness StudiesEconomics |
| What it is | Data Science is the study of extracting useful insights from large datasets using statistics, programming, and artificial intelligence techniques. Unlike a pure statistics or computer science program, it combines all three fields to prepare you for roles where you analyze real business and research problems. It suits people who enjoy math and coding and want to work with data across many industries. | You study how to use data and statistical tools to solve problems in finance and banking. The program combines computer science, mathematics, and finance, so you learn to build models and analyze trends rather than just learning finance theory or coding separately. It includes paid work terms with employers, giving you real experience before you graduate. This suits people who want a technical, analytical career in financial institutions or companies that rely on data to make decisions. | 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 | Applied to directly | Applied to directly | Applied to directly |
| Entrance awardsat this campus, by average | 16 published, 9 with no applicationfrom 75%See them | 4 published, 1 with no applicationfrom 80%See them | 13 published, 4 with no applicationfrom 75%See them |
| Source | Carleton University on OUInfo | Brock 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.