The following is a summary of the Master of Science degree requirements in statistics. Course listings are consistent with the current University General Catalog. More information on specific Graduate School requirements referred to in the following sections can be found in the Graduate and Professional Bulletin. The undergraduate major of a prospective student is not important. Students are required to have had at least three semesters of calculus, a course in linear algebra, and at least one proof-based mathematics course such as real analysis. Additional background that is useful but not required for admission: Upper division statistics courses and experience in at least one computer programming language. Students may elect one of the following MS degree options: Plan A (thesis option), or Plan B (project option), or Plan B (exam option) The course requirements for all three options are as follows. The courses leading to the M.S. degree are categorized into the three groups listed below. The course requirements are designed to cover the fundamental topics of probability, mathematical statistics, and statistical methodology (Group I), to provide an exposure to a range of areas in statistics (Group II), and to allow further specialization in a subject of the student's choosing (Group III).

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