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.
We lead a national network of researchers from academia and industry that are designing computer chips that are optimized for artificial intelligence.
- 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
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.
Leading innovation starts here
Connect with our partnerships team to discuss how a partnership with U of T Engineering can benefit your organization.
A new computer algorithm developed by Professor Parham Aarabi (ECE) can store and recall information strategically, just like our brains do.
Aarabi has also created an experimental tool that leverages the new algorithm to help people with memory loss. His framework is explored in a paper presented next week at the IEEE Engineering in Medicine and Biology Society Conference in Glasgow, Scotland.
“Most people think of AI as more robot than human,” says Aarabi