Quick Answer: As of June 2026, no major Canadian university publicly uses AI to make or reject admissions decisions. AI is increasingly used behind the scenes for administrative processing, scholarship matching, and identifying students who may need support after enrollment. University of Toronto, University of Waterloo, McMaster, and other Ontario universities continue to evaluate applicants based on Grade 12 marks submitted through OUAC, supplementary applications, reference letters, and extracurricular records.
The risk is not that AI rejects your application. The risk is that AI literacy and experience increasingly differentiates candidates in supplementary questions. Students who understand and have experience with AI arrive at university with a meaningful advantage
Key Highlights of How Canadian Universities Are Using AI in Admissions
- No major Canadian university has publicly confirmed using AI to accept or reject undergraduate applications as of June 2026
- AI is actively used at Canadian universities for administrative processing, scholarship recommendation systems, and student retention analytics
- University of Waterloo’s acceptance into CS, Math, and Engineering programs is heavily GPA-dependent, with supplementary AIF (Admission Information Form) used for differentiation at the borderline
- University of Toronto continues to assess applicants through grades, personal profiles, and college-specific criteria, not AI scoring
- Several Canadian universities including UofT and Waterloo are members of research consortia studying AI in education, making them likely early adopters of AI-assisted administration
- Students applying to STEM programs increasingly face questions in supplementary applications about digital literacy and experience with technology
The Current State of AI in Canadian University Admissions
The conversation about AI in university admissions in Canada is different from the one in the United States, where some institutions have piloted AI essay scoring tools. Canadian universities, operating through centralized systems like OUAC, receive structured application data (marks, credits, course selections) that is already standardized. That standardization reduces the surface area where AI could add value in the evaluation step itself.
However, that does not mean AI is absent from the admissions process. Several uses are confirmed or highly likely based on institutional priorities and published research partnerships.
Where AI Is Currently Used in Canadian University Processes
1. Application Data Processing and Verification
Universities receive thousands of applications through OUAC within narrow windows, particularly between the November application opening and early acceptance deadlines. Processing that volume involves checking OUAC application data against program prerequisites, flagging applications with missing courses, and routing files for human review. Automated systems (which may use machine learning components) have handled this administrative layer for years. What is new in 2026 is the sophistication of these systems, not their existence.
2. Scholarship Matching and Financial Aid Recommendation
Several Canadian universities use recommendation algorithms to match enrolled and incoming students with scholarship opportunities based on profile characteristics (GPA, program, background, interests). This is not the same as using AI to evaluate admissions merit, but it does mean that AI systems are making consequential resource allocation decisions for students. For Ontario students exploring scholarship opportunities, understanding that AI-driven matching affects which opportunities appear in institutional portals is worth knowing.
3. Student Retention and Success Prediction
Multiple Canadian universities have publicly discussed using predictive analytics to identify students at risk of dropping out or underperforming. These systems analyze early academic performance data to flag students who might benefit from support services. University of Waterloo, Ryerson (now Toronto Metropolitan University), and others have published research in this area. These tools are post-enrollment, not pre-admissions, but they represent the growing role of algorithmic decision-making in how universities manage their student populations.
4. Supplementary Application Review Tools
Some universities are researching AI tools to assist human evaluators in reviewing personal statements and supplementary applications. As of June 2026, no major Canadian institution has confirmed deploying AI to score or rank personal statements for undergraduate admissions. However, at institutions receiving tens of thousands of supplementary applications, the operational pressure to use AI assistance is significant. Watch for policy announcements in this area over the next 12 to 24 months.
What University of Toronto, Waterloo, and McMaster Actually Look At
University of Toronto
UofT uses a holistic review that combines academic marks, a personal profile (supplementary application), and college-specific criteria. The Grade 12 courses required by the program of interest set the baseline. For competitive programs like Engineering Science, Computer Science, or Life Science, applicants with top marks still complete supplementary questions. No AI scoring of those responses has been publicly confirmed. The conditional offer process remains based on final Grade 12 marks meeting stated requirements.
University of Waterloo
Waterloo uses the Admission Information Form (AIF) for most programs. This is a structured supplementary application asking about activities, interests, and experiences. For Computer Science and Mathematics programs, applicants with identical marks are differentiated by AIF quality and, for some programs, a writing or math contest. AI experience is increasingly mentioned in successful AIFs for CS programs. Students who have completed relevant AI courses, coding projects, or competitive programming have a tangible advantage. Our guide on free AI courses for school students is directly relevant for students targeting Waterloo CS.
McMaster University
McMaster uses an overall average for most programs, with supplementary applications for Health Sciences and Engineering. Their OUAC applications are reviewed by admissions staff. No publicly confirmed AI scoring. For Health Sciences, the supplementary application is explicitly evaluated for critical thinking, communication, and self-awareness, qualities that AI cannot generate authentically on your behalf.
How AI Experience Is Becoming a Real Differentiator for Canadian University Applicants
Even if Canadian universities are not using AI to evaluate applications, there is a growing expectation that applicants to STEM programs have meaningful AI literacy. This shows up in three ways.
In supplementary application questions: Questions like ‘describe a problem you solved using technology’ or ‘tell us about a skill you developed outside the classroom’ are direct invitations to discuss AI project experience. Students who have completed a Harvard CS50 AI course, built a Python project with AI components, or participated in a Kaggle competition have specific, credible answers. Students who have only used ChatGPT for homework do not.
In reference letters: Teachers and counsellors who can speak to a student’s ability to use technology thoughtfully and ethically are providing stronger references than those who can only speak to course performance.
In competitive program differentiation: At programs where 40% of applicants have a 95%+ average, differentiation happens on the depth and specificity of extracurriculars. An AI project, a completed free online course from a recognized institution, or participation in an AI club speaks more specifically than generic community involvement.
For Ontario students in Grade 11 and Grade 12 targeting competitive Canadian university programs, building AI literacy now rather than in first year is a meaningful strategic advantage.
What This Means for Your OUAC Application Right Now
If you are submitting your OUAC application this cycle, the most important things have not changed: strong Grade 12 marks in the prerequisite courses for your chosen programs, an on-time application, and a compelling supplementary if required. AI is not a shortcut through that process, and using AI to write your personal statement or supplementary application answers risks producing generic text that admissions readers immediately recognize as inauthentic.
If you need to raise your Grade 12 average before conditional offer deadlines, our guide on how to raise your Grade 12 average before university cutoffs explains the credit upgrading and course repeating options available in Ontario. USCA Academy offers credit course upgrades on a flexible timeline outside the public school semester structure.
| Preparing your OUAC application or looking to upgrade your Grade 12 marks? USCA Academy’s university preparation program and credit courses help Ontario students reach their university entrance targets. Explore university preparation at USCA or call +1 (905) 232-0411. |
Frequently Asked Questions About AI in Canadian University Admissions
1. Are Canadian universities using AI to reject applications?
Not in the direct sense. No major Canadian university has publicly confirmed using AI to reject undergraduate applicants as of June 2026. AI is used for administrative processing and data management within OUAC-connected systems, but human admissions officers make consequential acceptance and rejection decisions for most programs. This may change as application volumes increase.
2. Does having AI experience help with Canadian university applications?
Yes, specifically for supplementary applications to computer science, engineering, data science, and some business programs. Questions asking about technology experience, problem-solving, and skills beyond coursework are direct opportunities to mention AI literacy, completed AI courses, or coding projects involving AI components. This is a real differentiator at the margin when applicants have similar marks.
3. Can I use ChatGPT to write my university personal statement?
You can use ChatGPT to brainstorm ideas, review grammar, or get feedback on structure. What you should not do is submit ChatGPT-generated text as your own personal statement. Admissions readers at Canadian universities read thousands of applications and can identify AI-generated text through stylistic uniformity, absence of specific personal detail, and generic phrasing.
A personal statement that sounds like it could have been written by any student is not serving your application. Beyond detection, Grade 12 academic integrity policies in Ontario apply to supplementary application submissions, and some universities explicitly require applicants to certify that supplementary materials are their own work.
