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MS Statistics at Pennsylvania State University

Pennsylvania State University, United States

Programme overview

Graduate instruction and research opportunities are available in most areas of statistics and probability, including linear models, nonparametric statistics, robustness, statistical computing, analysis of count data, multivariate analysis, experimental design, reliability, stochastic processes and probability (applied and theoretical), distribution theory, statistical ecology, and biometrics.

Faculty: The Graduate School  |  Duration: 30 credits  |  Study mode: full-time  |  Location: University Park, PA, United States

What you will study

Courses include Regression Analysis and Modeling, Design and Analysis of Experiments, Theory of Statistics I, Theory of Statistics II, Stochastic Processes and Monte Carlo Methods.

Official programme page

Application information

Entry requirements

Applicants apply for admission to the program via the J. Jeffrey and Ann Marie Fox Graduate School application for admission . While applications from all students (including those who already have done graduate work) are reviewed, completion of a standard calculus sequence is regarded as a prerequisite. Students with a 3.00 or better junior/senior average (on a 4.00 scale) and with appropriate course backgrounds will be considered for admission. The best-qualified applicants will be accepted up to the number of spaces that are available for new students. Exceptions to the minimum 3.00 grade-point average may be made for students with special backgrounds, abilities, and interests. Students hoping to earn a Ph.D. in statistics may apply directly to the Ph.D.

Duration: 30 credits

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