Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

Modeling
Complete 4 semester hours from the following:
Applied Linear Algebra and Matrix Analysis
Introduction to Mathematical Methods and Modeling
Numerical Analysis 1
Graph Theory
Probability 1
Statistics
Complete 4 semester hours from the following:
Machine Learning and Statistical Learning Theory 1
Applied Statistics

Electives

Complete 8 semester hours from subject area MATH, including but not limited to the following:
Analysis 1: Functions of One Variable
Algebra 1
Partial Differential Equations 1
Numerical Analysis 2
Riemannian Optimization
Optimization and Complexity
Machine Learning and Statistical Learning Theory 2
Probability 2
Mathematical Statistics
Applied Statistics
Regression, ANOVA, and Design

Program Credit/GPA Requirements

16 total semester hours required
Minimum 3.000 GPA required