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Innovation that matters

 

Our computer science programs encompass designing software, developing computer applications such as databases and graphics and investigating mathematical problems, and are designed to meet an increasing demand for graduates with scientific knowledge and creative skills to excel in the industry. 

A computer science degree will introduce students to tomorrow's technological world. 

 
 
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Latest News

News
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Showcasing the next generation of tech innovation: Highlights from ARIA 2026

On Nov. 10, Applied Research in Action (ARIA) returned for its 12th year, bringing together researchers, students and industry leaders to showcase bold ideas and explore how computer science can help solve real-world challenges.  

Hosted by the University of Toronto’s Department of Computer Science, the annual research and technology innovation event welcomed more than 1,000 attendees. 

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New report examines AI’s rapid evolution and impact on society

Professor Sheila McIlraith chairs the international committee guiding AI100, a century-long study examining the evolution of artificial intelligence and its impact on society.

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From virtual crime scenes to financial modelling: A preview of ARIA 2026
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In the Media

In the Media
Toronto Guardian: As AI Deepfakes Become Harder to Detect, Can Canadians Still Trust What They See?
Toronto Guardian: As AI Deepfakes Become Harder to Detect, Can Canadians Still Trust What They See?

Assistant Professor Aviad Levis explains why AI-generated fake images and videos are becoming nearly impossible to detect, and how Canadians can better protect themselves from deepfake scams.

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The Globe and Mail: How your AI search results are being manipulated
The Globe and Mail: How your AI search results are being manipulated

Professor Nick Koudas discusses how businesses are using AI tools to covertly shape the recommendations and search results that consumers see.

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The Atlantic: AI’s Real Gift to Science
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The Atlantic: AI’s Real Gift to Science
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Associate Professor Bo Wang’s work is cited in an examination of how AI can help scientists analyze vast amounts of biological data and identify promising areas for further research.

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Upcoming Events

Events Calendar
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Nov 17
Tech@RBC Insider Series — Theory to production: Enterprise cloud infrastructure at scale
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Department of Computer Science MSc & PhD Information Session
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Nov 19
Leslie Pack Kaelbling, "The Role of Rationality in Modern Robotics," MIT CSAIL
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Stef Hutka on What Your Machines Should Do
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Department of Computer Science MSc & PhD Information Session
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Dec 2
Toronto Computational Imaging & Computer Vision Fall 2026 Poster Session
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CACE 2027: The CS-CAN | INFO-CAN 1st Annual Conference of the Canadian Association for Computing Education
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