Master of Mathematics (MMath) in Computational Mathematics
University of Waterloo · ON · SJI6gJA0o2
Master of Mathematics (MMath) in Computational Mathematics at University of Waterloo lists 53 subjects. Subjects include Finance 1, Introduction to Symbolic Computation and Fundamentals of Optimization. The topics that come up most are computational mathematics, computational biology and mathematical economics (28, 12 and 10 subjects).
Compiled from public course information: approximate, not official.
University of Waterloo
Masters
What you'll study in Master of Mathematics (MMath) in Computational Mathematics
Example subjects: Finance 1, Introduction to Symbolic Computation, Fundamentals of Optimization, Numerical Solution of Partial Differential Equations, Computational Inference, Data Visualization, Statistical Learning - Classification, Statistical Learning - Advanced Regression, Numerical Analysis, Fundamentals of Optimization, Combinatorial Optimization, Integer Programming.
Frequently asked questions
What will I study in Master of Mathematics (MMath) in Computational Mathematics?
Master of Mathematics (MMath) in Computational Mathematics covers areas like computational-mathematics, computational-biology, mathematical-economics, machine-learning, statistical-computing, computing, computational-linguistics, numeracy.
Who offers Master of Mathematics (MMath) in Computational Mathematics?
Master of Mathematics (MMath) in Computational Mathematics is offered by University of Waterloo, ON.
Considering Master of Mathematics (MMath) in Computational Mathematics?
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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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