Watson Institute for International and Public Affairs

Data-Driven Policy Track


Mintaka Angell MPA '16 

This track prepares MPA students to do data analytic work in government, nonprofit, and for-profit organizations. Students are introduced to a variety of programming languages used to manipulate and analyze data including Stata, SQL, and Python, and gain the tools to turn large data sets and behavioral science into improved policy. Students also acquire hands-on, practical experience with data cleaning, analysis, visualization, and designing and implementing policy evaluations. For the Policy-in-Action Consultancy, students work in a policy lab at Brown or elsewhere to integrate data-driven research with experiential learning. Students also write a term paper that demonstrates their ability to use programming, data visualization, and empirical tools to provide systematic evidence of a public policy problem or rigorously evaluate the effectiveness of various policy solutions.