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 | 75–80%“75-80%” | 77–87%“High 70s to mid-80s” | 77–80%“High 70s” |
| Required coursesforced into your top 6 — options are the row below | ENG4UMHF4U | ENG4UMHF4U | ENG4U |
| Choose one ofany of these satisfies it |
| — | — |
| Prerequisitesas published |
|
|
|
| More than marks?supplementary application | Marks only | Marks only | Marks only |
| Co-op | Available | No | Available |
| Degree | — | — | — |
| First-year intakewhere published | — | 100 | — |
| What you study | Computer Science | General or Integrated EngineeringInformation Technology | Artificial IntelligenceComputer ScienceFinanceInformation Systems |
| What it is | You study the theory and practice of computer programming, algorithms, data structures, and software development. This program lets you alternate between classroom semesters and paid work terms at tech companies, giving you real-world experience while you learn. It suits people who want hands-on industry experience alongside their degree and are comfortable juggling work and study schedules. | This program teaches you applied engineering and IT skills together, focusing on how to design, build, and manage digital systems and software in real-world settings. Unlike a pure computer science degree, it balances hands-on technical work with engineering principles. It suits students who want practical technical training and are comfortable mixing math-heavy coursework with project-based learning. | 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. |
| The door tomajors you reach through it | computer science | Applied to directly | Applied to directly |
| Entrance awardsat this campus, by average | 2 published, 0 with no applicationfrom 85%See them | None published by average | 4 published, 1 with no applicationfrom 80%See them |
| Source | Toronto Metropolitan University on OUInfo | York University — Markham on OUInfo | Brock 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%+
- Computing83–87%+
- Management and Organizational Studies83–93%+
- Computer Science and Mathematics (Joint Honours – 4 years) (French Immersion Stream is available)80%+
- Engineering – Computer Systems75–80%+
- Musique et informatique (Double grade – 5 ans)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.