Mathematics programs in Ontario

92 programs across 22 campuses, with published admission ranges starting at 70%. Sorted by the range each one publishes, lowest first, so you can see where you land.

Programs

Campuses

Lowest range

70%

What this leads to

The picture for mathematics as of 2026-08-17, not a description of this particular program.

Math graduates work as data scientists and machine learning engineers (the fastest-growing category), actuaries assessing financial risk, and secondary school teachers. Some move into quantitative analysis roles in finance or AI research positions.

In its favour

Strong salary growth potential: entry-level math roles start around $100k in Ontario, and can exceed $165k after 8 years
Data science and AI roles are expanding fast, with AI-driven demand expected to grow 36% through 2031
Employers often value the degree itself; many positions don't require you to be a pure mathematician—your skills apply across tech, finance, insurance, and government
Many positions offer co-op terms during your degree, which substantially boost your starting pay and job prospects after graduation

Worth knowing

Entry-level positions in non-specialist roles (data entry, basic analysis) are being automated by software right now
If you don't want to teach or go into data science, job options narrow significantly, and many roles require a master's degree to be competitive
The gap between entry-level hiring and the $100k salaries is real: fresh graduates often start at $55–70k across all fields unless they land a top-tier tech job
Graduate school (master's degree) is increasingly expected for research roles and some finance positions, adding 2 years and $50–150k to your timeline and costs

How AI is changing this work

Right now, AI is automating routine mathematical work—data processing, basic statistical analysis—but not complex problem-solving or proof development. If you're starting a degree in 2027, you'll graduate into a job market where AI handles grunt work but needs mathematicians to design better models, validate results, and work on unsolved problems. The degree protects you as long as you develop skills in coding, machine learning, or applied problem-solving rather than pure theory. Pure research positions remain AI-resistant because they require human creativity and judgment.

Where this came from (6 sources)