The MDSPP trains students to apply data science methods to public policy questions – like economics and job creation, health and health care, and education– in new and innovative ways.
The Master in Data Science for Public Policy (MDSPP) program combines the historic strengths of the McCourt School’s public policy analysis curriculum with the cutting-edge computational, mathematical, statistical methods training of the Georgetown Graduate Analytics program.
Oriented towards public service and civic engagement but relevant in the private and nonprofit sectors, graduates of the MDSPP program will not only be trained in the tools of data science and quantitative public policy analysis, but also in communicating their solutions effectively in the policy world.
In governments and the nonprofit sector, the demand for data analysts, scientists, and data savvy managers is rising quickly. The MDSPP emphasizes these skills, enabling graduates to be highly valuable in these settings in the US and around the globe.
McCourt graduates thrive in the public, private, nonprofit, and multilateral sectors. Each year, students are surveyed six months after graduation. For the classes of 2015 through 2017, 95.6% of graduates that responded were employed or furthering their education six months after graduation.
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