Indiana University Purdue University Indianapolis

M.S. in Mathematics: Applied Statistics

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This program is designed to increase the number of professionals with the broad training in statistical methodology that is suitable for applications in industry, medicine, business and government. A typical student in this program will be exposed to a broad base of practical techniques and applications from a wide variety of fields. At the same time the student's background in theory is developed so that the learning process will continue in any professional environment pursued after graduation.

The primary goal of the master’s degree program is to provide a basis for the skilled and competent application of modern statistical methods. In addition to the basic theoretical foundations, areas of methodology include regression analysis, design of experiments, multivariate analysis, quality control, survival analysis, time series, sample surveys, categorical and nonparametric methodology. All applied courses use and emphasize the importance of modern statistical computing software. Most courses are offered in the late afternoon or evening to accommodate students who are engaged in professional development while maintaining full-time careers.

Applied Statistics Course Requirements

The plan of study must include the following five core courses: Applied Regression Analysis, Design of Experiments, Probability Theory, Applied Multivariate Analysis, and Mathematical Statistics

The remaining five courses are electives and should be chosen with the approval of the student's advisor, subject to one of the two options below:

  • Option I- No Thesis: At least 9 credit hours must be taken in statistics beyond the core curriculum. The remaining courses may be taken in mathematics or in areas related to statistics, subject to the approval of the academic advisor.
  • Option II- Thesis:A 6-credit written thesis must be submitted for an oral defense. The thesis topic must be approved by the student's advisor. Also at least 6 credit hours must be taken in statistics beyond the core curriculum. The remaining courses may be taken in mathematics or in areas related to statistics, subject to the approval of the academic advisor.

Comprehensive Examination

In addition to the above coursework, each student must pass a written and oral comprehensive examination over the material in the core courses. All students are strongly encouraged to complete the comprehensive exam as soon as possible after completing the core courses and not at the very end of the program.

General Requirements and Policies

The Graduate Student Handbook contains the details of the program requirements, policies, and procedures.

Additional Information

For further information, contact Prof. Hanxiang Peng at 317-274-8070 or hpeng@math.iupui.edu.