Mathematics Master's Degree Curriculum Overview
The mathematics master’s degree offers core courses in fundamental topics such as algebra, analysis, and topology. As electives it is possible to deepen study in these core topics or to take courses in graph theory, stochastic processes, optimization, and differential equations. This program is well-suited for students wishing to pursue a Ph.D. in mathematics, as well as students who want to solidify their mathematical foundations in order to effectively use and understand advanced mathematical techniques like those emerging in data science.
By the end of this program, students will be able to:
- Recognize and formulate mathematically rigorous arguments
- Apply advanced mathematics from your field to solve problems
- Pursue studies at the Ph.D. level
Below are some of the typical courses available in this program.
Core Courses Include:
- Linear Algebra
- Foundations of Algebra I
- Functional Analysis I
- Topology I
- Functions of a Complex Variable I
- Foundations of Algebra II
- Intro to Networks & Graph Theory
- Stochastic Processes
- Combinatorial Analysis
- Convex Analysis & Optimization
- Functional Analysis II
- Intermediate Partial Differential Equations
- Algebraic Topology
- Special Problems in Mathematics (MS)
- Special Topics in Mathematics
If you have existing graduate credits or experience in this area of study, contact [email protected] to discuss opportunities to include it in the curriculum.