Applied Statistics, Master of Science (M.S.)

The graduate program in Applied Statistics is designed to prepare students to join twenty-first century business and industry in their growing needs for statistical analyses. An optimal mix of mathematical and computational background also enables the graduates to contribute effectively in the educational institutions.

Program Highlights

  • Nineteen graduate faculty members support the graduate programs. Faculty specialties include algebraic combinatorics, applied computational mathematics, combinatorial matrix theory, complex analysis, discrete mathematics, dynamical systems, elementary and secondary mathematics education, differential geometry, industrial mathematics, mathematical biology, numerical analysis, optimization, partial differential equations, probability, real analysis, ring theory, statistics, stochastic differential equations, stochastic processes, and topology.
  • Graduates of the program have found employment in a variety of fields, including software engineering, graphic design, insurance, community college teaching, secondary mathematics teaching and as statisticians. Others have gone on to obtain a Ph.D. in mathematics or statistics. 

Admission Requirements

  • Bachelor’s degree from an accredited university with a preferred minimum GPA of 3.0.
  • Resume.

Additional Requirements for International Applicants:

Application Deadlines

  U.S. Citizens International Applicants
Fall Start Rolling May 1
Spring Start Rolling October 1
Summer Start N/A N/A

Time to Completion: 2 years


Graduate Coordinator Contact

Dr. Han Wu
han.wu@mnsu.edu
507-389-1453

applied Statistics website