New York University Steinhardt School of Culture, Education, and Human Development 2 courses 48 total credits
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 are prepared for academic careers, as well as research positions in nonprofit organizations, government agencies, and industry. Students complete coursework in the broad areas of statistics, computational methods, and disciplines such as sociology, economics, psychology, and education and work closely with their faculty advisor to develop their own research agenda, while learning from and collaborating with researchers in applied statistics and others across the university. Students complete a dissertation of original research that unites technical methodology with substantive knowledge to further an understanding of important social science questions.
| Statistics | credits |
| Select 15 credits, by advisement | 15 credits |
| Computational Methods | credits |
| Select 15 credits, by advisement | 15 credits |
| Social Sciences | credits |
| Select 12 credits, by advisement | 12 credits |
Required Courses
Foundations
| Code | Course Title | Credits |
|---|---|---|
| APSTA-GE 2331 | Data Science for Social Impact | 3 |
| APSTA-GE 2062 | Ethics of Data Science | 3 |
| Total Required Courses | 48 credits | |
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