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. For further details on the Data Science Track, please see the Statistics and Data Science MS, Data Science Track Catalog at the bottom of this page for further details on this Track.
Total Credit Hours Required: 36 Credit Hours Minimum beyond the Bachelor's Degree
- December 1
- April 1
- July 1
- January 15