McCourt School

A data science degree for those looking to have a greater impact in the public sector, the MDSPP equips graduates with cutting-edge computational, analytical, and governance skills.

From our smartphones and our credit cards; to our tweets and our cars – data is everywhere and in everything. Even in power lines, airports and the roads we drive on, data exists in places that we wouldn’t even think of.

The smart and intentional application of these data could allow us to make better public policy decisions, find patterns, and more effectively deliver critical services like healthcare, education and national security. In governments around the world and in the nonprofit and private sectors, the demand for data analysts, scientists, and data savvy managers is increasing quickly.

The Master in Data Science for Public Policy (MDSPP), a joint program of Georgetown’s McCourt School of Public Policy and Graduate Analytics program, combines these skills with core public policy analysis enabling graduates to be highly valuable in these settings in the US and around the globe.

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The MDSPP is a full-time, 14-course (39-credit) degree program. The curriculum is divided into core and elective courses and can be completed in two years.

The MDSPP provides a unique curriculum at the intersection of data science and quantitative public policy analysis, equipping graduates with cutting-edge computational, analytical, and governance skills.

The program 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.

In their first two semesters, students will attend non-credit Data Science in Action Seminars approximately once every month. These sessions will bring to Georgetown leading experts who are applying data science to difficult policy problems.

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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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