The program’s primary goal is to provide the basis for the skilled and competent application of modern statistical methods. Areas of methodology in the program, in addition to a basic theoretical foundation, include design of experiments, regression analysis, discrete data, statistical computing, statistical process control, Bayesian, non-parametric, multivariate, reliability, sample survey and time series methodology. All applied courses make use of and stress the importance of modern statistical computing software. Courses required for the program are offered in the late afternoon or evening to accommodate the part-time student. Teaching assistantships are available to full-time students on a competitive basis

A biostatistics concentration is offered within the Master of Science in applied statistics degree program. This coursework provides students with the quantitative knowledge and skills required for health-related careers within academia, industry and government, including clinical trials, epidemiology and observational studies, survey research and genetics.