Cutoffs

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.

U of T (Mississauga)

Mathematical & Computational Sciences

OUAC TMZ

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Carleton

Data Science

OUAC CSD

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Queen's

Computing

OUAC QD

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Your average, their wayrequired courses forced in
Published rangetheir exact wording80–83%Low 80s80–85%80-85%83–87%Mid 80s
Required coursesforced into your top 6 — options are the row belowENG4UMCV4UMHF4UMCV4UMHF4UENG4UMCV4UMHF4U
Choose one ofany of these satisfies it
Prerequisitesas published
  • ENG4U
  • MCV4U
  • MHF4U
  • All courses also recommend MDM4U
  • Alternative Offers
  • +1 more on the program page
  • Advanced Functions (MHF4U)
  • Calculus (MCV4U)
  • 4 best 4U/M courses
  • Alternative Offers
  • Find more information about alternative offers
  • +1 more on the program page
  • ENG4U
  • MHF4U
  • MCV4U
  • 3 additional 4U/M courses
More than marks?supplementary applicationMarks onlyMarks onlyMarks only
Co-opAvailableAvailableAvailable
Degree
First-year intakewhere published250100400
What you studyInformation SystemsMathematicsStatisticsArtificial IntelligenceInformation SystemsStatisticsArtificial IntelligenceComputer ScienceInformation SystemsInformation Technology
What it isYou study the mathematics and computer science behind solving real-world problems with data and algorithms. This program combines pure mathematics, statistics, and information systems rather than focusing on just coding or theoretical math alone. A mandatory co-op component means you'll work in industry during your degree, giving you practical experience alongside classroom learning. It suits people who enjoy both math and problem-solving and want to see how their skills apply in actual jobs.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.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 itmathematicsstatisticsApplied to directlycomputer sciencesoftware engineering
Entrance awardsat this campus, by average4 published, 4 with no applicationfrom 90%See them16 published, 9 with no applicationfrom 75%See themNone published by average
SourceUniversity of Toronto — Mississauga on OUInfoCarleton University on OUInfoQueen's University on OUInfo

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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.