Public Policy and Data Analytics Track

*Track information here effective Fall 2020. For those admitted prior, please click here.

Required Track Courses (28 units: 16 required; 12 electives)

• PPD 313 Finance of the Public Sector
• PPD 404 Empirical Methods for Public Policy
• PPD 430 Urban Informatics
• PPD 427L Geographic Information Systems and Planning Applications or DSCI 250 Introduction to Data Science

Track Electives (select 12 units)

• PPD 314 Public Policy and Law
• PPD 318 Financial Accounting in Public and Nonprofit Organizations
• PPD 342 Crime and Public Policy
• PPD 357 Government and Business
• PPD 358 Urban and Regional Economics
• PPD 361 Sustainable Communities, Policy and Planning
• PPD 382 International Development
• PPD 407 Financial Management of Public and Nonprofit Organizations
• PPD 415 Health Policy
• PPD 439 Housing and Community Development
• ECON 303 Intermediate Microeconomic Theory
• DSCI 352 Applied Machine Learning and Data Mining
• DSCI 429 Security and Privacy
• If not used to satisfy the core track requirement, either PPD 427L or DSCI 250 may be substituted as an elective.