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Jan 20, 2025
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Graduate Record 2024-2025
Combination Degree - Data Science, M.S & Public Policy, M.P.P.
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The School of Data Science and the Frank Batten School of Leadership and Public Policy offers a combined degree program in which a student may earn both a Master of Public Policy (MPP) and Master of Science in Data Science, Residential (MSDS). Once admitted independently to each school’s degree programs, the interested applicant may apply to the Program. Admission to the Program will be judged according to criteria developed by the program committee and will not be guaranteed by virtue of acceptance at both schools.
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Program Requirements
The program is designed to take two years to complete. At the conclusion of the second year, students who have satisfied the relevant degree requirements, which include a minimum of 33 credits when enrolled in the School of Data Science and a minimum of 30 credits when enrolled in the Batten School, will be awarded both the MPP and MSDS degrees. Students do not earn course credit for the public policy internship that is required by the Batten School during the second summer of the program.
Students follow a Plan of Study and will take most of their courses from the two schools and, as appropriate, from other graduate offerings at the University and are enrolled as follows:
Year 1, Summer: 6 credits, enrolled in the School of Data Science
Year 1, Fall and Spring: 30 credits, enrolled in the Batten School
Year 2, Summer: 3 credits, enrolled in the School of Data Science
Year 2, Fall and Spring: 24 credits, enrolled in the School of Data Science
School of Data Science Electives
MSDS students select their elective courses in consultation with the Program Director. Students are required to take a minimum of 6 total credit hours of elective courses. Elective courses must be at the 5000 level or higher to count toward the MSDS program unless otherwise preapproved. Examples of electives:
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