In this M.S. degree, students learn the science of collection, organization, analysis, and explanation of data with the opportunity to specialize in a subject relevant to their interests and needs. Course work includes advanced statistical theory, probability, methods, and data analysis, including linear and generalized linear models, time series, stochastic processes, sampling, design, biostatistics, spatial and environmental statistics, Bayesian methods, computing, and other topics. Students may select Plan A, which requires a formal thesis, or Plan B, which requires a project or a series of comprehensive exams. This online and DVD/VCD-based program provides continuing education opportunities to off-campus graduate students in a flexible, convenient format.