Applied Mathematics with Scientific Computing and Scientific Machine Learning at University of Waterloo

Leads to the Bachelor of Mathematics in Applied Mathematics with Scientific Computing and Scientific Machine Learning ­. 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. Available in the regular system of study or the co-op system.

Faculty: Faculty of Mathematics  |  Study mode: full-time  |  Location: Waterloo, Ontario, Canada

What you will study

In second year, you'll continue to take foundational courses in calculus, linear algebra, statistics, and computer science. You'll also take courses in computational mathematics, optimization, and differential equations that will lay the foundations for applying machine learning to science and engineering. Sample upper-year courses include Data-Driven Mathematical Models, Scientific Machine Learning.

Career pathways

This major is ideal preparation for high-end technology jobs developing machine learning models for increasingly broad application areas in industry, tech companies, and government. Career options include positions such as machine learning engineer, data scientist, AI research scientist, and LLM data scientist.

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