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Data Analytics & AI

Data analytics and artificial intelligence programs and research at U of T Engineering is reshaping processes to improve lives and generate value for people around the world.

of total industry partner funding supports this research
U of T Engineering is located in the heart of Toronto's booming AI scene
undergraduate machine intelligence major in Canada
  • Artificial Intelligence
  • Augmented Reality
  • Autonomous Vehicles
  • Bioinformatics
  • Communications
  • Computing Systems (from Internet of Things to hardware and software)
  • Computer Architecture
  • Computational Medicine
  • Cybersecurity
  • Data Mining
  • Fintech
  • Intelligent Robotic Systems
  • Intelligent Transportation
  • Machine Learning
  • Neural Networks
  • Smart City Platforms

Vector Institute

The Vector Institute strives to attract the best global talent focused on research excellence in deep learning and machine learning. Its researchers and academic partners are part of a vibrant community of innovative problem-solvers, working across disciplines on both curiosity-driven and applied research.

Centre for Management of Technology and Entrepreneurship

CMTE is a research leader in communications technology for the Canadian financial services industry. Researchers collaborate with national financial institutions to conduct research into next-generation financial technology. 

Computer Hardware for Emerging Sensory Applications

COHESA is a strategic partnership between 19 leading research groups across Canada and technology companies with a long-term interest in machine learning.

Centre for Analytics and Artificial Intelligence Engineering

CARTE is the hub for collaborations and partnerships in analytics and AI at the Faculty of Applied Science and Engineering. We partner with industry and government to drive collaborative research and provide support to match funds from government sources. Through these partnerships, we also cultivate new experiential learning opportunities for students.

Southern Computing for Innovation 

SOSCIP pairs academic and industry researchers with advanced computing platforms to fuel Canadian innovation within the areas of agile computing, health, water, energy, cities, mining, advanced manufacturing, digital media and cybersecurity.

Smart Applications on Virtual Infrastructure

SAVI advances Canada’s Digital Economy Strategy by strengthening the industrial base in information and communications technology (ICT) through the active participation of its partners.

Study Data Analytics & Artificial Intelligence at U of T Engineering

Our Master of Engineering students can choose from a wide range of technical emphases, including Robotics & Mechatronics and Analytics. Within the Engineering Science program, undergraduates can major in Robotics or Machine Intelligence — the first program of its kind in Canada to specialize in the study, development and application of algorithms that help systems learn from data. Undergraduates in our core engineering disciplines can pursue complementary studies in Robotics & Mechatronics through multidisciplinary minors.

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ECE professor Alberto Leon-Garcia is working towards a platform that will provide first responders in Edmonton with predictions of emergency-event occurrences in the city. The tool is being developed in collaboration with Edmonton Fire Rescue Services (FRS) and TELUS, through its Data for Good program, to bring about more effective responses and efficient resource allocation.

The occurrence of many emergency events can be predicted because people's behaviours are predictable, says Leon-Garcia.

“The pulse of the city is driven by people and their activity