The Master of Science in Data Science for Public Policy (MS-DSPP) is a 39-credit STEM-eligible graduate program designed to equip students with advanced data science skills and a strong foundation in public policy analysis. This program uniquely blends cutting-edge data science methodologies with the McCourt School's renowned policy curriculum, preparing graduates for impactful roles in public service and policy-making. The curriculum is structured over two years, with an intensive 21-month full-time course sequence. Students will develop expertise in areas such as statistical learning, data visualization, advanced modeling techniques, and data ethics, alongside core policy topics like microeconomics, politics of policy-making, and public management. The program emphasizes practical application through a mandatory internship and extensive elective options, allowing students to tailor their studies to specific policy areas.
The MS-DSPP program requires 39 credits, including core courses, electives, and a mandatory internship. The full-time, on-campus program is designed to be completed in 21 months. The curriculum is divided into a two-year sequence with specific course requirements per semester.
Graduates of the MS-DSPP program are prepared for a variety of roles that require expertise in data science and public policy. The program's strong emphasis on quantitative reasoning, policy analysis, and communication equips students with the skills to tackle complex societal challenges.
Additional mandatory and optional fees apply. Please visit the Tuition & Fees page for an up-to-date listing. Information regarding need-based aid, grants, and loans can be found on the Office of Student Financial Services website. Federal loans require enrollment in at least 6 credit hours per semester.
For the academic year 2026-2027, the cost per credit hour is $2,758.00. The total tuition for the 30-credit program is $82,740. Full-time students paying for 9 credit hours per semester will pay $24,822 per semester.
The MS-DSPP program is a 39-credit STEM-eligible graduate program designed to be completed in 21 months of full-time study over two academic years.
Graduates are prepared for roles such as Data Scientist, Policy Analyst, Data Visualization Specialist, Quantitative Researcher, and Management Consultant. The program equips students with skills for tackling societal challenges in public service and policy-making.
Yes, Georgetown University offers merit-based scholarships for highly qualified incoming students, with 41% of the incoming class receiving scholarships in the 25/26 academic year. Additionally, external scholarships like the Leidos Scholarship for AI/ML Advancement may be available.
Applicants must submit an online application, academic transcripts, at least two letters of recommendation, a statement of purpose, and a resume or CV. International applicants may need to provide proof of English proficiency.