Data Analytics for Public Policy
As the #1 ranked program in the country for Public Management and Leadership, the Maxwell School sets the standard for excellence preparing MPA graduates with the management and analytic skills to tackle new and emerging public sector challenges.
Recent expansions to our coursework in Data Analytics for Public Policy recognizes the increasing employer demand for expertise in extracting, storing, and managing data, as well as an understanding of ways in which data can inform government decision making.
Today’s technologies are generating tremendous amounts of real-time data, and computer algorithms and sophisticated metrics help convert these data into actionable information that can help inform policy and improve delivery of government services. The availability and sensitivity of these data, as well as the increasing reliance on algorithms to drive decisions, also raises a host of public policy issues.
Students in this program will learn advanced skills in managing and analyzing large amounts of data and gain familiarity with the policy and governance issues raised by the use of emerging technologies and resulting data.
Certificate of Advanced Study (CAS) in Data Analytics for Public Policy
A 15-credit Certificate of Advanced Study in Data Analytics for Public Policy can be earned concurrently with any master's or doctoral degree at Syracuse University, including the MPA, MA IR, EMPA and EMIR. The CAS may also be completed as an independent stand-alone program for mid-career professionals. To earn the CAS in Data Analytics for Public Policy, students must take PAI 724: Data-Driven Decision Making, and 12 additional credits of graduate coursework from a list of approved electives (listed below). Of these 15 credits, at least 9 credits must be courses with a PAI prefix.
PAI 724: Data-Driven Decision Making with Professor Matt Young
- Performance measurement and management
- Introduction to R & Python
- Data management
- Data visualization
PAI 774: Public Policy & Program Evaluation with Professor Colleen Heflin
- Outcome logic models
- Validity and measurement
- Research design
- Implementation evaluation
- Qualitative data collection
PAI 789: Policy and Decision Analysis with Professor Peter Wilcoxen
- Cost-benefit analysis
- Decision Analysis
- Linear programming
- Policy simulation
PAI 793: Public Sector Predictive Analytics with Professor Len Lopoo (new in Fall 2020)
- Focus on understanding and use of predictive modeling using automated tools, including:
- Predictive modeling
- Machine Learning
- Data mining
- Classification methods, decision trees, random forests
GEO 683: Geographic Information Systems
GEO 684: GIS for Urban Environments
GEO 687: Environmental Geostatistics
Syracuse University School of Information Studies
IST 664: Natural Language Processing
IST 718: Big Data Analytics
IST 719: Information Visualization
IST 736: Text Mining
The skills and knowledge that students will develop in the Data Analytics for Public Policy coursework are applicable to varied careers in local, state, and federal government, think tanks, consulting, and non-governmental organizations (NGOs). Past students who have completed coursework in Data Analytics for Public Policy hold positions at:
- The World Bank, Data Scientist
- US Office of Management and Budget, Senior Policy Analyst
- NYC Department of Education, Director of Data Analysis
- US Government Accountability Office, Senior Data Analyst
- The Behavioral Insights Team, Associate Advisor
- Maxwell X-Lab, Co-Founder and Managing Director
- UN Women, Policy Specialist, Research and Data
- Development Initiatives, Analyst
- University of Chicago Poverty Lab, Senior Data Associate
Visit the Palmer Center for Career Development's Career Field Guides for more information about Careers in Data Analytics and related areas.
Colleen Heflin, Professor, Public Administration and International Affairs. Dr. Heflin is a leading expert on welfare policy and the well-being of vulnerable populations. She has received millions of dollars in grants to support her research from agencies including the Department of Agriculture and the Department of Health and Human Services.
Len Lopoo, Maxwell Advisory Board Professor of Public Policy. Dr. Lopoo is director of the Center for Policy Research, and the Director and co-founder of the Maxwell X Lab at Syracuse University. He has served for 10 years as the social policy co-editor of the Journal of Policy Analysis and Management. Dr, Lopoo is the recipient of numerous awards for his research and teaching, including the Birkhead-Burkhead Teaching Excellence Award, a Meredith Professors Recognition Award, and the Daniel Patrick Moynihan Prize.
Peter Wilcoxen, Professor of Public Administration and International Affairs, an Ajello Professor in Energy and Environmental Policy, and a Laura J. and L. Douglas Meredith Professor for Teaching Excellence. He also serves as Director of the Maxwell School's Center for Environmental Policy and Administration. Dr. Wilcoxen’s principal area of study is environmental economics and he has expertise in the development of economic simulation models. He has won several teaching awards including the Birkhead-Burkhead Teaching Excellence Award and the Leslie A. Whittington Excellence in Teaching Award from the Network of Schools of Public Policy, Affairs, and Administration (NASPAA).
Matt Young, Assistant Professor, Public Administration and International Affairs. His primary research interests include public management; public sector innovation and technology; and social justice. He has experience working as a data scientist on an NIH-funded grant project and over ten years of experience in hardware and software technology startups, and consulting.