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%” | 80–83%“Low 80s” | 83–87%“Mid 80s” |
| Required coursesforced into your top 6 — options are the row below | MCV4UMHF4U | ENG4UMHF4U | ENG4UMCV4UMHF4U |
| Choose one ofany of these satisfies it | — | — | — |
| Prerequisitesas published |
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| More than marks?supplementary application | Marks only | Marks only | Marks only |
| Co-op | Available | Available | Available |
| Degree | — | — | — |
| First-year intakewhere published | 100 | 40 | 400 |
| What you study | Artificial IntelligenceInformation SystemsStatistics | Business StudiesMathematicsOperational ResearchStatistics | Artificial IntelligenceComputer ScienceInformation SystemsInformation Technology |
| 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. | Actuarial Science is the study of risk and uncertainty using mathematics, statistics, and business analysis to help insurance companies, pension funds, and other organizations make financial decisions. Unlike a pure mathematics degree, this program focuses on applied problem-solving for real-world financial scenarios. The co-op option lets you work in the field while studying, giving you practical experience alongside your coursework. This program suits people who enjoy mathematics and statistics, think logically about complex problems, and want a career with strong technical foundations and professional prospects. | 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 | Applied to directly | Applied to directly | computer sciencesoftware engineering |
| Entrance awardsat this campus, by average | 16 published, 9 with no applicationfrom 75%See them | 29 published, 4 with no applicationfrom 75%See them | None published by average |
| Source | Carleton University on OUInfo | 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.
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.