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 | 90–97%“Low to Mid-90s” | 77–80%“High 70s” | 83–87%“Mid 80s” |
| Required coursesforced into your top 6 — options are the row below | ENG4UMCV4UMHF4U | ENG4U | ENG4UMCV4UMHF4U |
| Choose one ofany of these satisfies it | — | — | — |
| Prerequisitesas published |
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|
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| More than marks?supplementary application | Yes
| Marks only | Marks only |
| Co-op | Available | Available | Available |
| Degree | — | — | — |
| First-year intakewhere published | 42 | — | 400 |
| What you study | Artificial IntelligenceBusiness StudiesComputer ScienceFinance | Artificial IntelligenceComputer ScienceFinanceInformation Systems | Artificial IntelligenceComputer ScienceInformation SystemsInformation Technology |
| What it is | You study computer science and finance together, learning to build software systems and understand money management, accounting, and business strategy. This is different from studying either field alone because you learn how technology and financial systems interact. The co-op requirement means you alternate between school and paid work terms, giving you real-world experience in tech or finance companies. This suits people who want both technical skills and business knowledge, and who are ready to commit to the co-op schedule. | 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. | 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 | finance | Applied to directly | computer sciencesoftware engineering |
| Entrance awardsat this campus, by average | 4 published, 3 with no applicationfrom 80%See them | 4 published, 1 with no applicationfrom 80%See them | None published by average |
| Source | University of Waterloo on OUInfo | Brock 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.