PhD in Statistics and Computational Social Science

New York University

This interdisciplinary doctoral program 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. Your 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, you will work with your faculty advisor to develop your own research agenda, while learning from and collaborating with researchers in the Steinhardt School, the broader NYU academic community, and beyond. The ultimate goal of the doctoral program is to produce a dissertation of original research that unites technical methodology with substantive knowledge to further an understanding of important social science questions. You will share your research with broader communities via academic publications, and will have opportunities to hone your pedagogical skills through teaching and assisting with courses in applied statistics.

Steinhardt School of Culture Education and Human Development