The M.S. degree requires 30 credit hours, consisting of the 4 core courses, 5 elective courses providing a deeper understanding of specific methods, tools, and specific areas of application, and a 3-credit capstone practicum selected from an approved set of challenge areas developed in partnership with industry, government, and civic organizations.

The curriculum for the data analytics master's degree was developed with guidance from lead industry partner Booz Allen Hamilton, and is designed to meet the workforce needs of businesses, government agencies, and non-profit organizations. The program is intended for those with backgrounds outside of computer science, such as in business, engineering, healthcare, or physical or social sciences.