New York University

Overview

The Applied Statistics and Public and Nonprofit Management and Policy dual-degree program at New York University equips students with the skills to effectively design, evaluate, and enhance public programs through data-driven techniques. Over the course of two years of full-time study, participants will earn both a Master of Science (M.S.) and a Master of Public Administration (M.P.A.), preparing them for impactful careers in various sectors.

What you'll study

Programme Structure

This comprehensive curriculum, totaling 64 credits, integrates applied statistics with public and nonprofit management and policy training. Students will engage in core courses, select electives, and participate in a capstone experience that merges quantitative analysis with practical applications in policy and management.

• Applied Statistics & Data Analysis Core
  • Intermediate Quantitative Methods
  • Regression and Multivariate Data Analysis
  • Advanced Modeling I: Topics in Multivariate Analysis
  • Causal Inference
  • Practicum in Statistical Computing & Simulation
  • Data Science for Social Impact
• Policy, Management & Leadership Foundations
  • Public and Nonprofit Management and Policy coursework, focusing on management, leadership, and policy frameworks
  • Economics and political science-informed policy analysis
• Electives & Integrative Learning
  • Electives in statistics, data science, and/or policy and public management (subject to availability)
  • Capstone or equivalent project integrating analytics with a policy or program challenge

Note: Course titles and sequencing may vary by cohort and term. It is advisable to verify the latest curriculum with NYU during the application process.

Entry requirements

There are currently no specified GRE or GMAT requirements for this program, and no minimum GPA threshold is outlined in available records. Applicants should confirm any academic requirements during the application process.

Career prospects

Graduates of this dual-degree program can pursue a variety of career paths in public and nonprofit sectors, including roles in policy analysis, program evaluation, data analysis, and management. The combination of advanced statistical skills and policy training positions them effectively for leadership roles that require a strong understanding of data-driven decision-making in public service contexts.