Mathematics Master’s programs
#20 U.S. News & World Report ranking
Our two-year Master of Science program uses a student-focused curriculum to fit individual interests.
Get your Master’s degree one of three ways.
Plan A Master’s
Complete a defined sequence of courses and a thesis on a topic decided by you and your thesis advisor.
- 20 credits of coursework
- 10 thesis credits
Plan B Master’s
A flexible program that allows you to explore your interests in Mathematics and complete a comprehensive final oral exam instead of a thesis.
- 30 credits of coursework
Plan C Master’s
Strongly emphasizes the core courses.
- 30 credits of coursework
Emphasis areas (optional)
If you choose to pursue an area of emphasis, you must decide which area upon matriculation.
- Expands students' expertise to leverage mathematical thinking and data-driven approaches to solve real-world problems.
- Supports development of technical skills in the theory and practice of data science algorithms, analysis of data, statistical modeling and applied mathematics.
- Python programming skills empower students to apply machine learning and modeling approaches to practical datasets.
- Focused on practical experience.
- Rigorous coursework prepares students for the math encountered in industry.
- Participation in the Industrial Problems Seminar opens up opportunities for internships in industrial laboratories.
- The most popular option among students admitted to our standalone Master's program.
- Prepares students to become effective mathematics educators.
- Students complete the coursework to earn their initial or secondary teaching licensure in addition earning a MS in Mathematics.
- Five semesters long, including one summer session.
- Funding is provided through teaching assistantships during three semesters and one summer session, and tuition coverage is provided by fellowship during the student teaching semester.
Position yourself for a well-paying, fascinating career in quantitative finance through this professional master’s program.
The field applies mathematics, statistics, data science/machine learning, and scientific computing to:
- Risk management
Requires 2 courses that total at least 6 credits.
Our active, close-knit community helps students grow and flourish.
You’ll have abundant opportunities to:
- Receive support from mentors, advisors, peers, and alumni.
- Get involved.
- Interact with other students.
Dynamic urban environment
We’re situated on a sprawling campus, surrounded by vibrant urban neighborhoods. The Minneapolis-St. Paul area is known for its:
- Lively scene for dining, culture, arts, and recreation.
- Abundant trails, parks, and waterways, including several lakes and the Mississippi River.
- High quality of life.
- Thriving economy that features a diverse mix of industries and ample opportunities for graduates.