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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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NSERC launches Geoffrey Hinton Prizes honouring U of T Nobel laureate

2024 Nobel laureate Geoffrey Hinton, whose pioneering work helped launch the AI revolution, is the namesake of new NSERC prizes supporting the next generation of AI-driven discovery.

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Vanguard–U of T Computer Science partnership: from graduate talent to home-grown enterprise AI systems
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Thomas Ristenpart receives USENIX Security Test of Time Award

Research that explored a new AI security threat in 2016 was recognized for its lasting impact on the field.

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In the Media

In the Media
CNN: This city is one of the world’s most important AI hubs. It’s not where you’d expect
CNN: This city is one of the world’s most important AI hubs. It’s not where you’d expect

Faculty members Geoffrey Hinton, Gennady Pekhimenko and Raquel Urtasun, along with alumnus Nick Frosst, discuss Toronto’s status as a leading hub for AI.

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Quanta Magazine: ‘Huge Breakthrough’ in the Math of Imbalance
Quanta Magazine: ‘Huge Breakthrough’ in the Math of Imbalance

Associate Professor Aleksandar Nikolov is among the experts quoted on a long-sought advance in the mathematics of fair division, bringing researchers closer to proving a 30-year-old conjecture.

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The Globe and Mail: AI researcher Sanja Fidler raises US$90-million for robotics startup
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The Globe and Mail: AI researcher Sanja Fidler raises US$90-million for robotics startup
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Associate Professor Sanja Fidler launches a Toronto startup aimed at using AI-generated simulated worlds to train robots, securing US$90-million in venture funding.

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Upcoming Events

Events Calendar
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Sep 15
Systems@UofT Seminar Series: Swamit Tannu, “Building the FTQC Stack: Architectural Principles for Performance and Scalability in Fault-Tolerant Quantum Computing” 
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Sep 17
Allan Borodin, "Reflections on a Long Career and What's Next," University of Toronto, Department of Computer Science
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Sep 23
Robotics Institute Seminar: Graham Schelle, “Physical AI from Cloud to Robot: An AMD Perspective”
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Department of Computer Science MSc & PhD Information Session
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Sep 29
Joseph M. Hellerstein, "Determinations: Theory and Practice," UC Berkeley
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Sep 29
Tech@RBC Insider Series: Debug, design, deliver
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Oct 1
CANSSI Ontario 2026 Distinguished Lecture in Statistical Sciences
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Oct 2
CANSSI Ontario 2026 Distinguished Lecture in Statistical Sciences
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