Statistics
Admission Requirements Submit a letter of application stating qualifications, personal goals, and objectives of graduate study; three letters of reference; application for admission to the Graduate School; official GRE scores (official TOEFL or IELTS scores for international students); and official copies of all college transcripts. Specific prerequisites include the following courses, or equivalent: Math 171, 172, and 273 (calculus I, II, and III); Math 220 (linear algebra); at least one 3-credit course in computer programming; and at least one undergraduate 3-credit course in statistical methods. We recommend that students take Math 401, 402 (analysis I and II), and Math 420 (linear algebra II), or equivalent. Program Description Statistics is the science that deals with the collection, analysis, display, and interpretation of data. Graduate training in this degree program emphasizes the connection of statistics to its many fields of application, as well as the traditional connection to mathematics. Courses taken by degree candidates provide training in the application of statistical methods to the biological, physical, and social sciences, the theory of statistical methods, probability, and statistical computing. Many disciplines and sub-disciplines require extensive advanced training in statistics to do graduate research work. Students in agricultural economics, economics, decision sciences, and mathematics who want to receive advanced statistical training (at the master’s level), which will better prepare them to do research in their primary doctoral degree-granting field, can simultaneously be enrolled in the statistics program and the program of their primary doctoral degree-granting unit. Opportunities for individuals trained in statistics abound in business, industry, government, and academia.
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