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Mathematics Master’s programs

Plan types

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.

Credit requirements

  • 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.

Credit requirements

  • 30 credits of coursework

Plan C Master’s

Strongly emphasizes the core courses.

Credit requirements

  • 30 credits of coursework

Emphasis areas (optional)

If you choose to pursue an area of emphasis, you must decide which area upon matriculation.

MS Mathematics: Data Science

  • 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.
Students studying

MS Mathematics: Industrial and Applied Mathematics

  • 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.
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MS Mathematics: Math Education 

  • 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. 
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Related programs

Master of Financial Mathematics

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:

  • Finance
  • Investment
  • Risk management

Mathematics minor

Requires 2 courses that total at least 6 credits.

Supportive community

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.

Student groups

Students studying outside

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.

Tuition and benefits

For all U of M graduate students.

Tuition and fees

Health and dental benefits


Applications are due March 1.

How to apply