Updated DAP Electives

Electives

Students will complete four elective courses for the MS in Data Analytics and Policy, in addition to the six required core courses, for a total of ten courses to complete the degree. Courses are organized here by topic area; all courses on this page are eligible electives.

With advisor permission, a student may take up to two electives towards the degree that are not otherwise listed here (“out of program” electives). The course must be graduate-level, satisfy course hour requirements, and be relevant to the Data Analytics and Policy curriculum. Please contact your advisor to arrange this.

Note: three courses are still listed in the catalog for administrative reasons, but will not be offered again. These are Database Management Systems, Cloud Computing for the Public Sector, and Math for Data Scientists.

Data Science and Quantitative Research Methods

These courses allow students to deepen their technical skills or focus on the application of data analytics in the context of policy and politics.

470.643 - Text as Data

470.662 - Expertise and Evidence in Policymaking

470.703 - Urban Data Analytics

470.710 - Advanced Quantitative Methods

470.738 - AI Technology, Innovation, and Policy

470.758 - Data Driven Campaigns and Elections

470.764 - Survey Methodology

470.769 - Data Science for Public Policy

Politics, Policy Analysis, and Public Management

470.605 - Global Political Economy

470.608 - Public Policy Evaluation and the Policy Process

470.617 - The Courts and Public Policy

470.620 - Race, Politics, and Policy

470.627 - Financial Management & Analysis in the Public Sector

470.631 - Economics for Public Decision-Making

470.641 - Introduction to Advocacy and Lobbying

470.645 - The Budgetary Process

470.684 - Legislative Language and Policymaking

470.688 - Political Institutions and the Policy Process

470.701 - Congress: Why the First Branch Matters

470.798 - Financial Management and Analysis in Nonprofits

470.835 - DC Lab: Politics, Policy, and Analytics

473.602 - Intelligence Analysis

473.663 - The Intelligence-Policy Nexus

Geospatial Analysis

472.611 - Analyzing Social Media and Geospatial Information

472.612 - Geospatial Analysis: Communicating with Multiple Audiences

430.600 - Web GIS

430.601 - Geographic Information Systems

430.602 - Remote Sensing: Systems and Applications

430.603 - Geospatial Statistics

430.604 - Spatial Analytics

430.606 - Programming in GIS

430.607 - Spatial Databases and Data Interoperability

430.609 - Spatial Data Management: Quality and Control

430.610 - GIS for Infrastructure Management

430.612 - Cartographic Design and Visualization

430.615 - Big Data Analytics: Tools and Techniques

430.617 - Census Data Mining: Visualization and Analytics

430.619 - Web Application Development

430.621 - GIS for Emergency Management

430.627 - Artificial Intelligence and Machine Learning in Geospatial Technology

430.629 - Drones in Geospatial Decision Making

430.631 - Spatial Algorithms and Data Structures

430.635 - Urban Analytics