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%” | 73–80%“Mid- to high 70s” | 87–93%“High 80s to low 90s” |
| Required coursesforced into your top 6 — options are the row below | MCV4UMHF4U | ENG4U | ENG4UMCV4UMHF4USCH4USPH4U |
| Choose one ofany of these satisfies it | — | — | — |
| Prerequisitesas published |
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|
|
| More than marks?supplementary application | Marks only | Marks only | Yes
|
| Co-op | Available | Available | Available |
| Degree | — | — | — |
| First-year intakewhere published | 100 | 35 | 94 |
| What you study | Artificial IntelligenceInformation SystemsStatistics | Computer Animation and Visual EffectsComputer GamesDesign | Artificial IntelligenceComputer ScienceDesignGeneral or Integrated Engineering |
| 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. | This program teaches you how to create digital content across animation, game design, and visual media. Unlike a pure computer science degree, it balances technical skills with creative and design thinking. It suits people who want to build things that people see and interact with, rather than work mainly on backend systems or theory. | This program teaches you to design and build complex systems — often combining software, hardware, human behaviour, and business — that solve real-world problems. Unlike a traditional engineering program focused on one discipline, it blends computer science, design thinking, and management so you learn how systems work across multiple fields. It suits students who want engineering skills but prefer understanding how all the pieces fit together and spending time working in industry during their degree. |
| 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 | 29 published, 4 with no applicationfrom 75%See them | 4 published, 3 with no applicationfrom 80%See them |
| Source | Carleton University on OUInfo | York University on OUInfo | University of Waterloo on OUInfo |
Also compare with
Same subject area and a similar published range, at a campus you have not got in the table yet.
- Management Engineering (Co-op Only)83–90%+
- Multidisciplinary Design Engineering (4 years)80%+
- Data Science and Analytics – Computational Data Sciences77–80%+
- Data Science and Analytics – Financial Analytics77–80%+
- Génie de la conception multidisciplinaire (4 ans)78%+
- Génie mécanique et technologie de l'informatique (Double grade – 5 ans)78–80%+
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.