Course Overview
The curriculum will consist of approximately 8 courses. The emphasis of the program will be primarily on statistical methods, data analysis, and professional development. Data Analysis and Methods Core (~50%) : Emphasis will be on applied linear and non-linear models; supervised data analysis; model diagnostics and sensitivity analyses; communicating analysis results. Methods course will include topics in continuous and discrete multivariate analysis, survey sampling, time series, and biostatistics. Professional Development and R (~25%) : Topics to include: Communication skills - both written, oral, and web design; Computing skills - SAS and data base management; Professional and research ethics; Resume writing and interview skills; A data analysis portfolio; Introduction to consulting; Supervised consulting experiences; Careers in Statistics Speaker Series. Theory Core (~25%) : Emphasis will be on the theory of probability and mathematical statistics that form the foundations for statistical methods and practice.
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