Data Science - Master of Math (MMath)

Pursue a high-demand career in data science through the Master of Mathematics (MMath) in Data Science, an interdisciplinary research-based thesis program. Learn to integrate knowledge from computer science, statistics, and optimization to develop expertise in the field of data science that is highly sought after across all industries.

You will learn not only how to apply certain methods, but when and why they are appropriate. You'll gain insight on how they may be adapted to create new and improved methods. Ultimately, you will reach a level of expertise in an area of data science that enables the development of an original research contribution in a sub-field of data science.

The MMath in Data Science is a collaborative program offered through the Faculty of Mathematics and is supported by the Cheriton School of Computer Science (CS), the Department of Statistics and Actuarial Science (S&AS), the Department of Combinatorics and Optimization (C&O) and the Department of Applied Mathematics. The Cheriton School of Computer Science has been ranked number one nationally four years in a row based on program and research reputation according to the Maclean’s 2024 university rankings. Waterloo and the Cheriton School are among the top 25 universities internationally for computer science according to the 2023, 2022 and 2021 Quacquarelli Symonds worldwide university subject rankings. Both attract exceptional students from all over the world.