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. 

Application Requirements

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

Additional Requirements for International Applicants:

• Minimum TOEFL iBT scores of 61 or IELTS band score of 5.5.
• Credential Evaluation prepared by a National Association of Credentials Evaluation Service member.

Application Deadlines

	U.S. Based Applicants	International Applicants
Fall Start	Rolling	May 1
Spring Start	Rolling	September 1
Summer Start	N/A	N/A

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Time to Completion: 2 years

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