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. Students may apply to the Data-Driven Policy Track in mid-July, at the conclusion of Summer Sequence 1.
Introduction to Data Science and Programming (MPA 2065) Introduces students to the process of gathering, manipulating, and analyzing data in programs such as Python and SQL.
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In the spirit of Brown’s Open Curriculum, students may work with a faculty advisor to design their own specialization. Students choose electives to pursue deeper knowledge and gain proficiency in the methods, skills, and substance of particular policy areas. MPA graduates have focused on areas as diverse as cybersecurity, health policy, environmental advocacy, national intelligence, and early-childhood education.