Data Analytics Coursework is taken in addition to MSPPM Core listed below.
MSPPM-DA Requires a Minimum of 24 Units Taken Across the Following Three Areas:
(Note: courses listed are only a sample of analytics coursework)
Machine Learning
- Machine Learning for Public Policy Lab (94-889)
- Practical Unstructured Data Analytics (94-775)
- Data Science and Big Data (95-885)
- Introduction to Artificial Intelligence (95-891)
Computer Programming and Analytics
- Decision Analysis and Multi-criteria Decision Making (94-833)
- Big Data and Large-Scale Computing (95-869)
- A/B Testing, Design and Analysis (95-819)
- Exploring and Visualizing Data (95-868)
- Programming R for Analytics (94-842)
- Geographic Information Systems (94-802) OR Health Care Geographic Information Systems (90-834)
- NoSQL Database Management (95-737)
- Advanced Business Analytics (95-866)
- Linux and Open Source (95-799)
- Advanced Geographical Information Systems (90-753)
- Healthcare Information Systems (94-706)
- SAS for Public Policy (94-827)
- R Shiny for Operations Management (94-880)
- Advanced Relational Database Management (95-736)
- Introduction to Information Security (95-752)
- Applied Threat Analytics (95-889)
Policy Methods and Ethical Frameworks
- Policy Innovation Lab: Public Interest Technology (90-783)
- Lean Innovation Lab (94-891)
- Policy Analysis in Practice (90-730)
- Methods of Policy Analysis: The Future of Work (90-745)
- Applied Ethical Analysis (94-883)
- Critical AI Studies for Public Policy (90-769)
- Program Evaluation (90-823)
- Smart Cities: Growth and Intelligent Transportation Systems (94-845)
- Quantitative Analysis of Income Inequality (90-712)
- Cost Benefit Analysis (90-747)
- Critical AI Studies for Public Policy (90-769)
- Policy Innovation Lab: Public Interest Technology (90-783)
- Critical Analysis of Policy Research (90-822)
- Policy in a Global Economy (90-860)
- Behavioral Economics in Public Policy (90-882)
- Econometrics I (PhD) (90-906)
- Econometric Theory and Methods (PhD) (90-907)
- Introduction to Decision Analytics and Systems (94-716)
- Privacy in the Digital Age (94-806)
- Design Thinking (94-866)
- Managing Analytic Projects (94-881)
- Intro to Transportation Systems Analysis (94-893)
- Policies of Wireless Systems (95-824)
For class, syllabi, and faculty information, please visit the Heinz College course catalog.