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?
Students in the Public Policy Analysis specialization have the option to follow the Quantitative Methods and Evaluation Track.
Below is an overview of the required coursework. For detailed information, view the program checksheet
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 or program evaluation positions post-graduation, or are interested in developing data analysis skills, should complete one of the following two courses or follow the Quantitative Methods Track:
Students may wish to organize their electives around the following analytical methods or content areas:
Data Analysis, Data Analytics, and Data Science
Economic Analysis of Public Policy
Education and Social Policy
Housing, Economic Development, and Cities
International Development Policy
Politics & the Policy Process
Race and 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 (10.5 credits, including PADM-GP 2902 Multiple Regression, a required Policy specialization course) will receive a certificate of completion (distributed after all other degree requirements have been met).
Quantitative Track students complete the following 7.5 credits (3 courses):
PADM-GP 2902, Multiple Regression and Introduction to Econometrics
PADM-GP 2172, Advanced Empirical Methods for Policy Analysis
PADM-GP 4503, Introduction to Data Analytics for Public Policy, Administration, and Management
Quantitative Track students also complete 3 credits from:
PADM-GP 2505, Big Data Analytics for Public Policy
PADM-GP 2875, Estimating Impacts in Policy Research
PADM-GP.4147, Large-Scale Data Analysis I
PADM-GP.4148, Large-Scale Data Analysis II
PADM-GP.4501, Designing Data Collection for Program Evaluation, Policy, and Management
PADM-GP.4502, Using Large Data Sets in Policy Research
PADM-GP.4504, Introduction to Database Design, Management, and Security
PADM-GP.4505, R Coding for Public Policy
PADM-GP.4506, Python Coding for Public Policy
Quantitative Track students may wish to choose electives from the following: