MPA-MS, Applied Statistics
Take action against critical public service issues with a comprehensive understanding of advanced statistical techniques. At NYU, you can earn both an MPA in Public and Nonprofit Management and an MS in Applied Statistics in two years. You'll gain an practical policy, management, and analysis skills while being immersed in the foundations of probability and statistics—learning how to implement a variety of methods appropriate for evidence-based policy and practice.
Students in this program enjoy the benefits of being members of two leading professional schools at NYU. Join a vibrant community of students, practitioners, and scholars focused on public policy and public service and the foundations of probability and statistics.
PROGRAM STRUCTURE
Students enroll full-time, taking courses within the MPA, Public Policy Analysis specialization (30 credits) and MS, Applied Statistics in Social Science Research (36 credits) programs concurrently. Students who waive a required course will take an advanced elective in its place. NYU Wagner electives may be from the school or from an approved NYU graduate course. Students graduate and receive a diploma from each school after successful completion of the dual-degree requirements for both degrees.
ADMISSIONS
Applicants are required to apply to NYU Wagner and to NYU Steinhardt. Once admitted to both, a student will qualify for the dual-degree program. Students apply separately to each school and join the MPA-MS, Applied Statistics dual-degree program once they are admitted to both schools. Students enrolled in dual master's degree programs with other NYU schools are not eligible for NYU Wagner Named Fellowship programs.
For more information about admissions to either school, please contact:
-
NYU Wagner Admissions
wagner.admissions@nyu.edu | 212.998.7414 -
NYU Steinhardt
steinhardt.gradadmissions@nyu.edu | 212.992.9475
ALUMNI IN ACTION
Claudia Solis-Roman (MPA-MS 2020)
Senior Data Science Researcher, Microsoft
"Steinhardt and Wagner prepared me to work at the intersection of data science and policy. The professors were excellent, the training was rigorous, and I draw upon what I learned every day. I would recommend this program to anyone interested in working at the cutting edge of statistics and public affairs."
Our Faculty
Rajeev Dehejia
Professor of Economics and Public Service; Associate Dean, Academic Affairs; Director of Policy Specialization
Ingrid Gould Ellen
Paulette Goddard Professor of Urban Policy and Planning, Director for Furman Center for Real Estate and Urban Policy