The primary purpose of the graduate programs leading to the M.S. degree in Statistics is to educate broadly-based statisticians in the theory and methods of statistics towards successful applications of statistical tools to immediate and specific problems which arise in virtually every area of societal and scientific endeavors. The successful practice of statistics will require substantial competence in the theory of statistics, a sound knowledge of statistical methodology, and statistical computing. Hence students are expected to pursue a program appropriately balanced between theory and methods. The Department maintains the highest standards of academic and professional excellence.
Areas of Study
Possible areas of specialization include most areas of statistical theory, biostatistics, and operations research. The faculty is currently engaged in research in the following areas: biostatistics, statistical inference theory and applications of experimental designs, survey sampling, linear models, sequential analysis, exploratory data analysis, regression analysis, nonparametric analysis, multivariate analysis, time series, stochastic processes, clinical trials, statistical computing, graphics, history of statistics, categorical data analysis, approximation theory, spline smoothing, health systems evaluation, pharmaceutical statistics, and operations research.
The Statistics Department, offers a series of courses, Statistics 5000 through 5900, designed specifically for the student who is not a statistics major but desires comprehensive training in the use of statistical techniques. Emphasis is on the application of the techniques to real-life problems in diverse disciplines.