Beginning with students admitted in the fall of 2026, all students pursuing on-ground master's degree programs must complete a university-level experiential learning requirement. This requirement may be fulfilled through the curriculum, co-op, or other work- or industry-integrated learning experiences.
Complete all courses and requirements listed below unless otherwise indicated.
Core Requirements
| Code | Title | Hours |
|---|---|---|
| Algebra 1 and Analysis 1 | ||
| MATH 5101 | Analysis 1: Functions of One Variable | 4 |
| MATH 5111 | Algebra 1 | 4 |
| Algebra 2 and Analysis 2 | ||
| MATH 5102 | Analysis 2: Functions of Several Variables | 4 |
| MATH 5112 | Algebra 2 | 4 |
Electives
| Code | Title | Hours |
|---|---|---|
| Complete 16 semester hours from the following; no course can be used to satisfy both a requirement and an elective: | 16 | |
| Geometry 1 | ||
| Partial Differential Equations 1 | ||
| Numerical Analysis 1 | ||
| Numerical Analysis 2 | ||
| Topology 2 | ||
| Riemannian Optimization | ||
| Graph Theory | ||
| Optimization and Complexity | ||
| Probability 1 | ||
| Machine Learning and Statistical Learning Theory 1 | ||
| Topology 3 | ||
| Machine Learning and Statistical Learning Theory 2 | ||
| Probability 2 | ||
| Mathematical Statistics | ||
| Applied Statistics | ||
| Regression, ANOVA, and Design | ||
Program Credit/GPA Requirements
32 total semester hours required
Minimum 3.000 GPA required