The program prepares students to undertake sophisticated quantitative analyses to address political, policy and governance challenges. Students will develop broadly applicable, foundational skills as well as expertise in statistical analysis, geospatial analysis, political behavior and policy analysis or public management. Twelve courses, including a capstone project, are required to complete the degree.
There are four concentrations offered through the MS in Government Analytics.
- The concentration in Statistical Analysis focuses on the use of statistics to make government-related decisions.
- The concentration in Geospatial Analysis focuses on the applied use of spatially distributed data.
- The concentration in Political Behavior and Policy Analysis prepares students to evaluate campaigns, elections, political institutions and government programs using quantitative methods.
- Finally, the concentration in Public Management provides students with the tools and skills needs to solve management issues related to policy, finance and administration. Pursuing a concentration is optional.
Students are required to:
- Complete five core courses (includes capstone project).
- Complete seven elective courses.
- 470.681 Statistics and Political Analysis
- 470.709 Quantitative Methods
- 470.710 Advanced Quantitative Methods
- One of the following:
- 470.673 Data Visualization
- 430.615 Big Data Analytics: Tools and Techniques
470.694 Big Data Management Systems
- 470.660 Program Evaluation
470.699 Applied Performance Analytics
- 470.738 Time Series Models and Forecasting
- 470.862 Capstone for Government Analytics
Full course listings and descriptions are available on the Course Descriptions page.
With approval of the program director, students may also choose electives from selected degree programs within Advanced Academic Programs, including Government, Global Security Studies, Applied Economics and Environmental Studies.
- 470.769 Data Science for Public Policy
- 470.743 Data Mining and Predictive Analytics
- 470.708 Unleashing Open Data with Python
- 470.764 Survey Methodology
- 470.667 Machine Learning and Neural Networks
- 470.643 Text as Data
- 470.758 Data-driven Campaigns
- 470.731 Privacy in a Data-driven Society
A concentration is optional. Students may pursue a concentration in one of the following areas:
- Statistical Analysis
- Geospatial Analysis
- Political Behavior and Policy Analysis
- Public Management
Students who choose to earn a concentration must take four classes in that area of study. A list of courses that count toward each concentration area can be found on our Concentrations page. If you have questions, please contact the program director.
Beginning Fall 2016, the Symposium is no longer required. Speakers and related events will be scheduled by the Center’s programs throughout the year.
State-specific Information for Online Programs
Note: Students should be aware of state-specific information for online programs. For more information, please contact an admissions representative.
- Admissions Requirements
- Degree Requirements
- Course Descriptions
- Career Opportunities
- Course Schedule
- Alumni Advisory Board
- The Experience
- Program Resources
- May Intensive – Sustainable Cities in Germany