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 | 73–77%“Mid-70s” | 75% | 83–87%“Mid 80s” |
| Required coursesforced into your top 6 — options are the row below | ENG4UICS4UMHF4U | No course codes parsed — see prerequisites | ENG4UMCV4UMHF4U |
| Choose one ofany of these satisfies it |
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| — |
| Prerequisitesas published |
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| More than marks?supplementary application | Marks only | Marks only | Marks only |
| Co-op | Available | No | Available |
| Degree | Bachelor of Science, BSc, Bachelor of Science and Management, BSc&Mgt | — | — |
| First-year intakewhere published | 140 | — | 400 |
| What you study | Computer Science | Computer ScienceDesignInterdisciplinary StudiesOthers in Technology | Artificial IntelligenceComputer ScienceInformation SystemsInformation Technology |
| What it is | Data Science focuses on collecting, analyzing, and interpreting large amounts of data to solve real-world problems using statistics, mathematics, and computer programming. The BSc&Mgt variant adds business courses alongside the technical ones, preparing you for leadership roles in data-driven organizations. This program suits people who enjoy both math and computers, want hands-on problem-solving skills, and appreciate learning how to turn raw data into decisions. | You study computer science and design together in a hands-on, project-based way rather than as separate subjects. The program emphasizes learning through real problems and experimentation, so you'll build working projects alongside traditional coursework. This suits people who want to understand how technology and design connect and prefer learning by doing. | 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 | statistics | Applied to directly | computer sciencesoftware engineering |
| Entrance awardsat this campus, by average | 3 published, 3 with no applicationfrom 85%See them | 22 published, 5 with no applicationfrom 75%See them | None published by average |
| Source | Ontario Tech University on OUInfo | University of Ottawa 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%+
- Game Programming80–83%+
- Génie de la conception multidisciplinaire (4 ans)78%+
- Systems Design Engineering (Co-op Only)87–93%+
- Multidisciplinary Design- Experiential Learning (4 years)75%+
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.