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The department's Master of Science in applied statistics program aims to expand the pool of professionals with comprehensive training in statistical methods applicable to industrial, business, and government environments. This program focuses on equipping students with the fundamental skills needed to effectively implement contemporary statistical techniques. The curriculum covers essential theoretical foundations along with specialized methodologies such as experimental design, regression analysis, categorical data analysis, computational statistics, quality control procedures, Bayesian methods, non-parametric approaches, multivariate analysis, reliability engineering, survey sampling, and temporal data analysis. Modern statistical software applications are emphasized throughout all practical coursework. To support working professionals, required classes are scheduled during late afternoons or evenings. Competitive teaching assistantships are offered to full-time students.
Within the applied statistics master's program, students can pursue a biostatistics specialization. This track prepares graduates with quantitative expertise for health-related positions in academic institutions, corporations, and public agencies, covering areas like clinical research, epidemiological investigations, survey methodology, and genetic studies.