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 | 65%“65%+” | 77–80%“High 70s” | 70–75%“70-75%” |
| Required coursesforced into your top 6 — options are the row below | ENG4UMHF4U | ENG4U | ENG4U |
| Choose one ofany of these satisfies it | — | — |
|
| Prerequisitesas published |
|
|
|
| More than marks?supplementary application | Marks only | Marks only | Marks only |
| Co-op | Available | Available | No |
| Degree | — | — | — |
| First-year intakewhere published | — | — | — |
| What you study | Computer Science | Artificial IntelligenceComputer ScienceFinanceInformation Systems | Business StudiesInformation TechnologyManagement StudiesOthers in Technology |
| What it is | 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. | 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. | You study how to manage technology within business organizations — combining business strategy, IT systems, and hands-on management skills. Unlike a pure computer science or business degree, this program focuses specifically on the intersection: how companies implement and lead technology projects. It suits people who want to work in tech-related roles but prefer understanding the business and people side over deep programming. |
| The door tomajors you reach through it | statistics | Applied to directly | Applied to directly |
| Entrance awardsat this campus, by average | 7 published, 7 with no applicationfrom 80%See them | 4 published, 1 with no applicationfrom 80%See them | 2 published, 0 with no applicationfrom 85%See them |
| Source | Algoma University on OUInfo | Brock University on OUInfo | Toronto Metropolitan 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%+
- Business (Thunder Bay and Orillia)70%+
- Business Administration73–78%+
- Business Technology Management (Co-op Available)70–75%+
- Business - International Dual Degree (Thunder Bay and Orillia)70%+
- Computer Science (co-op available) (Thunder Bay and Barrie)70%+
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.