Course Overview
The Master in Data Science for Public Policy at Georgetown University 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. 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. 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. Employment Outcomes: McCourt graduates thrive in the public, private, nonprofit, and multilateral sectors. Each year, students are surveyed six months after graduation. For the classes of 2013 through 2015, 91% of graduates that responded were employed or furthering their education six months after graduation. Analytic Program Employment & Internship Outcomes: Employers agree that a good knowledge, coupled with strong exposure to analytic techniques and database management tools, are key to success in rewarding data science careers.