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%” | 83–87%“Mid 80s” | 80% |
| Required coursesforced into your top 6 — options are the row below | MCV4UMHF4U | ENG4UMCV4UMHF4U | MCV4UMHF4U |
| 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 | — | — | Bachelor of Science, BSc, Bachelor of Science (Co-op), BSc (Co-op) |
| First-year intakewhere published | 100 | 400 | — |
| What you study | Artificial IntelligenceInformation SystemsStatistics | Artificial IntelligenceComputer ScienceInformation SystemsInformation Technology | Computer ScienceGeneral or Integrated EngineeringInformation TechnologyInterdisciplinary Studies |
| 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. | 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. | You study computer science and mathematics together as equally important subjects, rather than taking one as your main focus. This joint honours program lets you combine theoretical math with practical computing skills in ways a single-subject program cannot. It suits students who enjoy both fields and want to understand how mathematics powers computational problem-solving. |
| The door tomajors you reach through it | Applied to directly | computer sciencesoftware engineering | Applied to directly |
| Entrance awardsat this campus, by average | 16 published, 9 with no applicationfrom 75%See them | None published by average | 22 published, 5 with no applicationfrom 75%See them |
| Source | Carleton University on OUInfo | Queen's University on OUInfo | University of Ottawa 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%+
- Management Engineering (Co-op Only)83–90%+
- Systems Design Engineering (Co-op Only)87–93%+
- Mathematics (Regular/Co-op)83–87%+
- Engineering Systems and Computing (BEng) (co-op admission only)84–89%+
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.