PhD in Data Science

This interdisciplinary doctorate responds to the need for new methods to handle very large and complex datasets, and to turn observations into recommendations. Students work with faculty and industry partners on problems such as using predictive analytics against cyber threats, improving health outcomes and helping cities make informed policy choices. The program draws on computing, mathematics and the business school, and revolves around areas such as integrative data science, business intelligence, data management and mathematical analytics. The plan of study has coursework and research totaling at least sixty credit hours beyond the master's requirement. Applicants who hold only a bachelor's degree first earn the master's through its thesis option. Applicants can inquire or apply from the program page, which also links to admission requirements. Data science appears on the application form alongside engineering, science and mathematics options.