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Master of Science
Program Overview

This master of science degree in applied statistics provides students with a broad spectrum of skills in statistical methods as described in the previous section. Successful graduates will have completed 30 credit hours of core and elective courses carefully designed by our faculty based on the current demands from employers and the standards in the field of applied statistics.

Our MS students work with their faculty advisors on establishing a plan of study. This process typically involves selection of a concentration based on the student’s interests and desires of specific types of employment. Each concentration consists of two elective courses with an arbitrary selection of the remaining electives. These concentrations are optional, that is, a student can also design his or her own sequence of elective courses. The following five concentrations are available:

Predictive Analytics:
    STAT-745 Predictive Analytics
    STAT-773 Time Series Analysis and Forecasting

Data Mining/Machine Learning:
    STAT-735 Advanced Statistical Theory
    STAT-747 Principles of Statistical Data Mining

Industrial:
    STAT-621 Statistical Quality Control
    CQAS-682 Fundamentals of Lean Six Sigma

Biostatistics:
    STAT-762 SAS Database Programming
    STAT-775 Design and Analysis of Clinical Trials

Theory:
    STAT-735 Advanced Statistical Theory
    STAT-756 Multivariate Analysis