Master of Mathematics (MMath) in Data Science
University of Waterloo · ON · SJSal1ARi2
Master of Mathematics (MMath) in Data Science is a Masters degree at University of Waterloo, ON. It covers areas like computational mathematics, machine learning, statistical computing, databases, database systems, statistical learning. The summary below is compiled from public course information — approximate, not official.
University of Waterloo
Masters
What you'll study in Master of Mathematics (MMath) in Data Science
Example subjects: Fundamentals of Optimization, Computational Inference, Data Visualization, Statistical Learning - Classification, Statistical Learning - Advanced Regression, Fundamentals of Optimization, Combinatorial Optimization, Convex Optimization and Analysis, Optimization for Data Science, Topics in Continuous Optimization, Fundamentals of Computer Science for Data Science, Database Systems Implementation.
Frequently asked questions
What will I study in Master of Mathematics (MMath) in Data Science?
Master of Mathematics (MMath) in Data Science covers areas like computational-mathematics, statistical-computing, machine-learning, statistical-learning, data-science, data-mining, data-analytics, database-systems.
Who offers Master of Mathematics (MMath) in Data Science?
Master of Mathematics (MMath) in Data Science is offered by University of Waterloo, ON.
Considering Master of Mathematics (MMath) in Data Science?
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Sources: University of Waterloo official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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