Foundations of Data Science (MS): Mathematics Concentration

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Degree Requirements

Required Courses21
Statistics Core6
Fundamentals of Linear Models and Regression
Applied Statistical Methods I
Mathematics Core6
Linear Transformations and Matrix Theory
Convex Optimization Methods in Data Science
Computer Science Core
Design and Analysis Of Algorithms
Database Management concepts and Systems
Machine Learning Core3
Choose one of the following
Introduction to Statistical Learning
Automated Learning and Data Analysis
Concentration Electives9
A minimum of 9 hours of elective courses must be taken from the following courses:
Uncertainty Quantification for Physical and Biological Models
Numerical Analysis I
Numerical Methods for Nonlinear Equations and Optimization
Special Topics In Numerical Analysis