Master of Mathematics in Data Science in Waterloo Canada | University of Waterloo

Our graduate programs combine aspects of Statistics, Computer Science, and Optimization. There's a growing industry-wide demand for comprehensive graduate education spanning these fields. We strive to deliver both wide-ranging coverage and specialized knowledge in these three domains as they relate to the rapidly evolving, internationally acknowledged field of Data Science. Professionals skilled in this area are highly sought after. Whether you're enhancing your qualifications through a course-focused master's degree or pursuing a research-intensive master's or PhD program, you can anticipate an engaging, well-connected, and practical learning experience. The Master's of Mathematics (MMath) in Data Science is a thesis-based research program designed to be completed in four to six terms. Core requirements include four courses plus a thesis. Synthesize insights from computer science, statistics, and optimization to cultivate specialized data science proficiency. Achieve advanced mastery in a data science specialization that allows for making novel research contributions within a specific data science subfield.