Materials Science programs in Ontario

21 programs across 8 campuses, with published admission ranges starting at 73%. Sorted by the range each one publishes, lowest first, so you can see where you land.

Programs

Campuses

Lowest range

73%

What this leads to

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

Materials scientists conduct research into the properties, composition and production of materials such as ceramics and composite materials. Graduates also work as materials engineers, process engineers in manufacturing, and R&D specialists in electronics, aerospace, pharmaceuticals, and energy sectors like fuel cells.

In its favour

Current job postings in Canada show salaries from $70K–$90K+ for early-career roles
Jobs are distributed across multiple Canadian cities including Toronto, Vancouver, Calgary, and Montreal
Many positions require only a Bachelor's degree, though advanced degrees (MSc/PhD) open senior R&D roles
Field combines lab work, problem-solving, and direct impact on real products (batteries, coatings, alloys)

Worth knowing

Entry-level positions often require hands-on lab experience or internships before graduation
AI-driven automation in materials research integrates machine learning, robotics, and instrumentation into closed-loop systems for design, synthesis, and characterization — routine experimental work is increasingly automated
Many job postings require a Master's degree or PhD for research scientist positions, meaning a four-year degree alone limits you to technician-level roles
Supply of candidates from engineering and chemistry programs means competition for positions is stiff at entry level

How AI is changing this work

AI-driven systems are now automating material discovery, design, synthesis, and characterization — identifying optimal compositions and minimizing the number of required experiments. Fully automated labs now use robots guided by AI to speed up materials science discoveries. The shift means that traditional bench science (running experiments by hand) is being replaced by work that requires understanding how to interpret AI results, design experiments for machines to run, and combine domain expertise with data science. You'll likely use these tools rather than replace them, but only if you can learn to work with them — that requires stronger computational and data skills than the field traditionally required.

Where this came from (6 sources)

All 21 programs

Other subjects

Ranges are what universities publish, not guaranteed cutoffs. Work out your top 6 to see which of these you actually clear.

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