Public Policy Specialization
Which public policies are doing what they're designed to do, and which could do their job better? The Public Policy Analysis specialization gives you tools to make these evaluations and play a leading role in evaluating and creating policy that better serves the public good.
You'll learn the analytical and quantitative skills you’ll need to create and assess policy responses to important public issues and urban problems. And you’ll graduate ready to address big questions: How can cities create and implement policies for growth and development? What are the next steps to solving global poverty? Which policies are most effective at minimizing racial disparities? How can education policy improve the performance and equity of US educational systems?
DEGREE CORE COURSES
Students complete the following courses:
Students must also choose and complete one of the following policy formation courses:
Students who plan to apply for quantitative analyst positions post-graduation should complete one of the following or follow the Quantitative Methods Track:
Students may wish to organize their electives around the following analytical methods or content areas:
Economic Analysis of Public Policy
International Development Policy
Quantitative Methods & Evaluation
Politics & the Policy Process
Race, Class & Diversity Policy
QUANTITATIVE METHODS AND EVALUATION TRACK
This track is intended for students who wish to develop strong quantitative skills and the ability to handle and analyze data. Students in this track will learn about analytic thinking with data, advanced regression and machine learning methods, and survey methods. These skills are used in a broad range of policy analysis—from federal budgets to city regulations—and in program evaluation.
Students who complete the following track (9 credits) will receive a certificate of completion (distributed after all other degree requirements have been met).
Quantitative Track students must complete the following 4.5 credits (2 courses):
Quantitative Track students must complete 4.5 credits from:
PADM-GP.4501, Advanced Quantitative Analysis I: Survey Methods
PADM-GP.4502, Advanced Quantitative Analysis II: Categorical Dependent Variables
PADM-GP.4504, Introduction to Database Design, Management, and Security
PADM-GP.4505, Applied Data Analytics for Public Policy
PADM-GP.4147, Large-Scale Data Analysis I
PADM-GP.4148, Large-Scale Data Analysis II
Quantitative Track students may wish to choose electives from the following:
PADM-GP.4114, Surveys and Interviews
PADM-GP.4117, Systems Thinking for Deep Data Literacy
PADM-GP.4119, Data Visualization and Presentation
URPL-GP.2618, Geographic Systems and Analysis
URPL-GP.4651, Advanced GIS: Topics in Spatial Analysis