4 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.
| Full | ||||
|---|---|---|---|---|
| Your average, their wayrequired courses forced in | ||||
| Published rangetheir exact wording | 83–87%“Mid-80s” | 65%“65%+” | 78% | 77–87%“High 70s to mid 80s” |
| Required coursesforced into your top 6 | ENG4UMCV4UMHF4U | ENG4UMHF4U | MCV4UMHF4U | ENG4UMCV4UMHF4USBI4USCH4USPH4U |
| Prerequisitesas published |
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| More than marks?supplementary application | Marks only | Marks only | Marks only | Marks only |
| Co-op | Available | Available | Available | Available |
| Degree | — | — | — | — |
| First-year intakewhere published | 300 | — | — | 55 |
| What you study | MathematicsStatistics | Computer Science | Computer ScienceEconomicsMathematicsPhysics | Business StudiesEconomicsMathematicsStatistics |
| What it is | A program where you study pure mathematics and applied statistics together, building strong foundations in both subjects before specializing. The co-op requirement means you alternate between classroom terms and paid work terms at employers who use these skills. It suits students who enjoy both abstract problem-solving and real-world data analysis, and who want work experience alongside their degree. | You study the mathematical and programming foundations of artificial intelligence and data analysis, including how to build systems that learn from large datasets and make predictions. This program goes deeper into AI and statistics than a general computer science degree. It suits people who want to work with machine learning, data analysis, or AI systems and are comfortable with both math and coding. | An Honours Mathematics degree means you study pure and applied mathematics at depth over four years, with required courses in calculus, algebra, analysis, and proof-based theory. Unlike a general math program, this honours stream demands rigorous mathematical reasoning and includes optional specializations through electives in computer science, physics, statistics, or economics. It suits students who enjoy abstract problem-solving and want a foundation for graduate studies or technical careers. | Data Science is the study of extracting useful insights and predictions from large amounts of data using mathematics, statistics, and computer programming. This program combines mathematics and statistics with practical business and economics applications, so you learn both the theory behind data analysis and how to apply it to real-world problems. It suits people who enjoy working with numbers and want to understand how organizations use data to make decisions, especially if you want hands-on workplace experience through co-op placements. |
| The door tomajors you reach through it | mathematicsstatistics | statistics | mathematicsstatistics | Applied to directly |
| Entrance awardsat this campus, by average | 5 published, 3 with no applicationfrom 75%See them | 7 published, 7 with no applicationfrom 80%See them | 16 published, 9 with no applicationfrom 75%See them | 29 published, 4 with no applicationfrom 75%See them |
| Source | McMaster University on OUInfo | Algoma University on OUInfo | Carleton University on OUInfo | York 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.