Program Description
Leveraging NYU Wagner’s curriculum in quantitative analysis, this Advanced Certificate provides policy analysts and practitioners with expanded data and analytics expertise. You’ll learn the advanced tools you need to extend your skillset in quantitative analysis of policy, including data science, survey research, and social research.
Admissions
Admission to the Advanced Certificate program requires the following:
- Online Application
- Essay
- Resume
- Transcripts
- Application Fee
Admission is selective and based on the applicant's prior academic record and professional achievements. Advanced Certificate candidates are not eligible for scholarship. For more information, please contact wagner.admissions@nyu.edu.
Due to constraints relevant to US immigration regulations, applicants who will need an F-1 or J-1 student visa are not eligible to apply to certificate programs.
Students currently enrolled in a Wagner degree program cannot be admitted to nor simultaneously enrolled in a Wagner Advanced Certificate program.
See Advanced Certificate and Non-Degree Application Checklist for additional admission requirements and instructions specific to this program.
International Applicants should review the International Applicant Checklist for a complete and comprehensive list of application requirements and instructions.
Program Requirements
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.
Course List
| Course |
Title |
Credits |
| CORE-GP 1011 | Statistical Methods | 3 |
| PADM-GP 2902 | Multiple Regression and Introduction to Econometrics | 3 |
| 9 |
| Advanced Empirical Methods | |
| Geographic Information Systems and Analysis | |
| Large Scale Data Analysis with Machine Learning I | |
| Large Scale Data Analysis with Machine Learning II | |
| Designing Data Collection for Program Evaluation, Policy, & Management | |
| Using Large Data Sets in Policy Research | |
| R Coding for Public Policy | |
| Python Coding for Public Policy | |
| Total Credits | 15 |
Learning Outcomes
Upon successful completion of the program, graduates will:
- Align organizational and institutional policies and practices with mission, strategy, culture, and broader policy objectives.
- Secure and manage financial resources in a way that aligns with mission and strategy.
- Demonstrate understanding of the policy lifecycle and the impact of social, economic, demographic, political, environmental, and regulatory factors.
- Evaluate policies using appropriate, evidence-based methods and tools, including measuring differential impact on sub-populations.
- Deploy conceptual frameworks to break down problems into constituent elements and to develop solutions.
- Critically assess and synthesize existing research to identify its contributions and limitations, as well as possible research alternatives.
- Demonstrate understanding of causality, including distinguishing between correlation and causation, the challenges to estimating causal relationships, and the importance of causality for determining impact.
- Prepare succinct, well-argued, and well-organized written materials and verbal presentations with appropriately incorporated tables, graphs, and other visuals.
- Translate awareness of the impact of individual and group demographics and identities into appropriate organizational, institutional, and societal policies and practices.
- Lead projects, programs, and people, and manage resources in ways that adapt to changing social, economic, demographic, technological, and political conditions.
Policies
Standard Policies Statement
Additional academic policies can be found on the Wagner academic policy page.
NYU Policies
University-wide policies can be found on the New York University Policy pages.