Master of Science in Statistics and Data Science

The Master of Science in Statistics and Data Science provides a sound foundation in statistical theory, statistical methods, numerical methods in statistics, and the application of computer methodology to statistical analyses. The MS is particularly suited for individuals who have completed an undergraduate program in mathematics, statistics, or computer science, but is also available to those from other disciplines who wish to develop an expertise in statistics and data science. The Statistics and Data Science MS program requires a minimum of 36 credit hours beyond the bachelor's degree. The degree in Statistics and Data Science includes 21 credit hours of required courses, 9 credit hours of restricted electives, and passing an oral defense of thesis or completing a research project and an additional elective. Students must maintain a minimum GPA of 3.0, as well as a "B" (3.0) in all courses completed toward the degree and since admission to the program. This degree has 1 track: Data Science Track. Total Credit Hours Required: 36 Credit Hours Minimum beyond the Bachelor's Degree.

The GRE is not required for admission to this program. Résumé. 3 Letters of Recommendation Applicants applying to this program who have attended a college/university outside the United States must provide one official transcript and official certification of degree, with date awarded. Applicants not qualified for regular graduate status may be initially admitted to the university in non-degree-seeking status and later admitted to regular status once all deficiencies have been eliminated, although only nine hours of graduate course work taken as a non-degree-seeking student can count toward a graduate degree.