Program Overview

Program Overview

The Doctor of Philosophy in Statistics and Computational Social Science is an interdisciplinary doctoral program that combines statistical, computational, and social science theory and practice to address problems of social importance in public health, education, criminal justice, and other domains. Graduates will be prepared for academic careers, as well as research positions in nonprofit organizations, government agencies, and industry.

Degree Details

Official Degree Title

PhD in Statistics and Computational Social Science

Format

Full-time or Part-time

Credits

36–48

Start Date

Fall

Application Deadline

December 1

Academic Experience

The academic experience in this program will begin with coursework in the broad areas of statistics, computational methods, and disciplines such as sociology, economics, psychology, and education. At the same time, students will work with their faculty advisor to develop their own research agenda, while learning from and collaborating with researchers in the Steinhardt School, the broader NYU academic community, and beyond.

Careers and Outcomes

Graduates of this program will be equipped for postdoctoral and faculty positions in university departments such as statistics, data science, and political science, as well as for positions in schools of communication, information, public policy, and education. Outside academia, graduates will be ready for careers as research scientists or research directors at nonprofit organizations, in the public sector, program officer positions at foundations, and a variety of research-oriented positions in industry.

Program Benefits for International Students

If you're an international student, you may be able to work in the United States after graduation for an extended period of time. Most students studying on F-1 visas will be eligible for 12 months of Optional Practical Training (OPT) off-campus work authorization. F-1 students in our program may also be eligible for the STEM (Science, Technology, Engineering, or Mathematics) OPT extension, allowing you to extend your time in the United States to pursue degree-related work experience for a total of 36 months or 3 years.

Faculty

• Alex Chohlas-Wood: Assistant Professor of Computational Social Science
• Joseph Cimpian: Professor of Economics and Education Policy
• Daphna Harel: Associate Professor of Applied Statistics; Director of A3SR MS Program
• Jennifer Hill: Professor of Applied Statistics; Co-Department Chair; Co-Director of PRIISM
• Klint Kanopka: Assistant Professor of Applied Statistics
• Ying Lu: Associate Professor
• Marc Scott: Co-Department Chair, Professor of Applied Statistics; Co-Director of PRIISM
• Ravi Shroff: Associate Professor of Applied Statistics

Research Areas

The program focuses on statistical, computational, and social science theory and practice to address problems of social importance in public health, education, criminal justice, and other domains.