Computer Science programs in Ontario

135 programs across 25 campuses, with published admission ranges starting at 65%. Sorted by the range each one publishes, lowest first, so you can see where you land.

Programs

135

Campuses

Lowest range

65%

What this leads to

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

Software engineers and developers design system hardware requirements and software applications, utilizing principles of computer science theory and practice and analysing processes to implement effective changes. Machine Learning Engineers design, build, train, and deploy ML models into production systems.

In its favour

Entry-level graduates can earn around $98,000 on average, with significant upside as you gain experience
You're training for the jobs actually hiring: cloud engineers, AI architects, data scientists, and ML developers are all on Robert Half Canada's high-growth list for 2026
AI tools are now part of standard development workflows, not a niche skill—80% of engineering organizations rely on AI-assisted tools, so you'll learn this during your degree

Worth knowing

Entry-level developer salaries in Ontario are around $63,000, not the $98,000 average—it takes years of experience to reach that figure
Junior developers aged 22 to 25 saw a 20% drop in employment from late 2022 to mid-2025, showing the market for fresh grads is tightening
Routine coding tasks are being automated: 40% of coding tasks are already being automated, and 45% more could be by 2030—you need to specialise in system design, architecture, or AI work to be competitive
The fastest-growing roles (software engineering, cybersecurity, data science) take years of experience to break into; they're hard to fill precisely because they require depth, not entry-level hires

How AI is changing this work

AI is automating routine coding and testing but creating new roles in AI architecture, machine learning, and system design that require deeper problem-solving. Most of your degree will teach you to write code by hand, but that work is being done increasingly by AI tools—the real demand is for people who can design systems and integrate AI, not people who can code basic features. If you graduate with only traditional programming skills, you will compete directly against tools that are getting better every semester. The degree is still worth it, but only if you use it to specialise in something beyond "I can code," like data systems, cloud infrastructure, or AI integration.

Where this came from (6 sources)