Data Science and Data Management

Courses in the Data Science and Data Management Focus Area will strengthen your analytical skills and give you more tools to help you manage increasingly complex data environments across public policy and public service sectors.

Foundational courses

  • PADM-GP 4503 -  Introduction to Data Analytics for Public Policy, Administration, and Management
  • PADM-GP 2172 - Advanced Empirical Methods for Policy Analysis

Additional Electives

PADM-GP.2172, Advanced Empirical Methods
PADM-GP.2505, Advanced Data Analytics and Evidence Building
URPL-GP.2618, Geographic Information Systems
PADM-GP.2902, Multiple Regression and Introduction to Econometrics
PADM-GP.4119, Data Visualization and Storytelling
PADM-GP.4147, Large Scale Data Analysis I
PADM-GP.4148, Large Scale Data Analysis II
PADM-GP.4322, Data and AI Strategies for Social Impact Organizations
PADM-GP.4501, Designing Data Collection for Program Evaluation, Policy, and Management
PADM-GP.4502, Using Large Data Sets in Policy Research
PADM-GP.4503, Introduction to Data Analytics for Public Policy, Administration, and Management
PADM-GP.4504, Introduction to Database Design, Management, and Security
PADM-GP.4505, R Coding for Public Policy
PADM-GP.4506, Python Coding for Public Policy
URPL-GP.4650, Advanced GIS: Interactive Web Mapping and Spatial Data Visualization

More to Explore: Data Science and Data Management

Research

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Faculty

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Daniel B. Neill

Associate Professor of Computer Science and Public Service, NYU Wagner; Associate Professor of Computer Science and Public Service, NYU Courant; Associate Professor of Urban Analytics, NYU Center for Urban Science and Progress
Alumni

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Allon Yaroni

PhD in Public Administration
Assistant Commissioner for Data Analytics
NYC Administration for Children's Services
Allon Yaroni