Applied Computing
Program Overview
The University of Toronto’s Master of Science in Applied Computing (MScAC) Program is committed to educating the next generation of world-class innovators.
With concentrations in Artificial Intelligence, Artificial Intelligence in Healthcare, Applied Mathematics, Computer Science, Data Science, Data Science for Biology, and Quantum Computing, our program will provide students with a truly unparalleled academic experience. Not only will students learn from world-class faculty about the latest developments in cutting edge technologies, they will also have the opportunity to apply that knowledge through a practical applied-research internship at one of our partner companies.
Quick Facts
| Domestic | International | |
|---|---|---|
| Application deadline | MScAC: Fall 2026 entry December 2025
| MScAC: Fall 2026 entry December 2025
|
| Minimum admission average | MScAC: B+ in the final year of Bachelor’s | MScAC: B+ in the final year of Bachelor’s |
| Direct entry option from bachelor's to PhD? | MScAC: No | MScAC: No |
| Is a supervisor identified before or after admission? | MScAC: Before | MScAC: Before |
| Is a supervisor assigned by the graduate unit or secured by the applicant? | MScAC: Graduate unit | MScAC: Graduate unit |
| Are any standardized tests required/recommended? | MScAC: GRE recommended for applicants without a Canadian university degree | MScAC: GRE recommended for applicants without a Canadian university degree |