Program Overview

Quantitative Methods for Policy Analysis

The Quantitative Methods for Policy Analysis Advanced Certificate provides policy analysts and practitioners with expanded data and analytics expertise. Students learn advanced tools to extend their skillset in quantitative analysis of policy, including data science, survey research, and social research.

Curriculum

Students must successfully complete 15 credits to earn this Advanced Certificate. The curriculum is designed to be completed in three semesters, however students may take up to three years.

Required Courses

• CORE-GP.1011: Statistical Methods (3 credits, typically offered in Fall, Spring, Summer)
• PADM-GP.2902: Multiple Regression and Introduction to Econometrics (3 credits, typically offered in Fall, Spring)

Elective Courses

Students must choose and complete courses from the following (9 credits):

• PADM-GP.2172: Advanced Empirical Methods (3 credits, typically offered in Fall)
• URPL-GP.2618: Geographic Information Systems (3 credits, typically offered in Fall)
• PADM-GP.4147: Large Scale Data Analysis with Machine Learning I (1.5 credits, typically offered in Spring)
• PADM-GP.4148: Large Scale Data Analysis with Machine Learning II (1.5 credits, typically offered in Spring)
• PADM-GP.4501: Designing Data Collection for Program Evaluation, Policy, and Management (1.5 credits, typically offered in Fall)
• PADM-GP.4502: Using Large Data Sets in Policy Research (1.5 credits, typically offered in Spring)
• PADM-GP.4505: R Coding for Public Policy (1.5 credits, typically offered in Fall)
• PADM-GP.4506: Python Coding for Public Policy (1.5 credits, typically offered in Fall, Spring)

Prerequisites

The required CORE-GP 1011 must be taken in the first semester and is a prerequisite to most other courses in the certificate. Students who are able to waive CORE-GP 1011 must complete an advanced elective in its place.

Featured Faculty

• Rajeev Dehejia: Professor of Public Policy and Economics; Associate Dean, Academic Affairs; Director of Policy Specialization; Codirector, Development Research Institute
• Brian Elbel: Professor of Population Health and Health Policy
• Leanna Stiefel: Professor of Economics; Director Education and Social Policy Masters Program
• Daniel B. Neill: Professor of Computer Science and Public Service, NYU Wagner; Professor of Computer Science and Public Service, NYU Courant; Professor of Urban Analytics, NYU Center for Urban Science and Progress

Certificate and Non-Degree Programs

Other available programs include:

• Public and Nonprofit Management and Policy
• Health Finance
• Health Policy Analysis
• Health Policy for Clinicians
• Program Evaluation and Impact Assessment
• Quantitative Methods for Policy Analysis
• Social Finance
• Admissions and Requirements