Apply your human expertise to artificial intelligence
Learn how to use artificial intelligence techniques and numerical methods to tackle real-world scientific and engineering challenges for a future increasingly reliant on AI.
This new major focuses on the mathematical and computational tools and techniques that underlie the application of machine learning models to problems in science, medicine, and technology.
Scientific machine learning models learn from data while incorporating the rules of physics, biology, and engineering. This makes them more accurate, interpretable, and efficient for solving real-world problems. You’ll work with experienced, award-winning professors who will help you understand the power of mathematical modelling, scientific computing, and data-driven prediction.
You’ll gain the skills to model and analyze complex systems in science, medicine, and technology using machine learning and scientific computing along with practical expertise that can open doors to careers in research, tech, engineering, finance, and beyond.
Faculty:
Faculty of Mathematics
Degree:
Bachelor of Mathematics in Applied Mathematics with Scientific Computing and Scientific Machine Learning
Available as a co-op program?
Yes
Available as a regular program?
Yes
Available as a minor?
No
Partnerships with Waterloo.AI, the Centre for Computational Mathematics, the Institute for Quantum Computing, and the Perimeter Institute for Theoretical Physics provide unique academic and career opportunities available exclusively to students in this major.
Two years of work experience. Opt for co-op and get 24 months of paid, on-the-job experience with research and tech organizations.
Co-op = relevant paid work experience
In the world's leading co-op program, you'll explore potential careers, learn to interview for jobs, graduate with up to two years of valuable experience — and make money!
Sample co-op job titles
- Machine learning research engineer
- Data analyst
- STEM software developer
Starting in second year, you'll normally alternate between school and work every four months, integrating your classroom learning with real-world experience. You can return to the same employer for a couple of work terms to gain greater knowledge and responsibility or work for different employers to get a broad range of experience.
Your first work term will be after first year (May to August 2027).
| Year | September to December (Fall) | January to April (Winter) | May to August (Spring) |
|---|---|---|---|
| First | Study | Study | Co-op |
| Second | Study | Co-op | Study |
| Third | Co-op | Study | Co-op |
| Fourth | Study | Co-op | Co-op |
| Fifth | Study | Study |
Admission requirements
Ontario students: six Grade 12 U and/or M courses including
- Advanced Functions
- Calculus and Vectors
- Any 4U English
- One other 4U course
Recommended course: Grade 11 U Introduction to Computer Science
Admission averages: Individual selection from the mid-80s
How to apply?
Apply to Mathematics. You'll choose Applied Mathematics with Scientific Computing and Scientific Machine Learning as your major at the end of first year. There are supplementary information forms, including the Admission Information Form, which are required for admission. We'll email you detailed instructions once we receive your application.
We strongly encourage you to participate in the Canadian Senior Mathematics Contest and/or the Euclid Mathematics Contest to enhance your admissions status.
To be considered for entrance scholarships in the Faculty of Mathematics, you must write one or both of the contests. If you complete both contests, we'll use the results of the contest in which you performed best.
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Questions about courses, programs, requirements, or careers?
Please contact the Faculty of Mathematics recruitment team who can answer any questions you have.