STEM
New York University, United States
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.
Faculty: Steinhardt School of Culture, Education, and Human Development | Duration: 48 credits | Location: New York, NY, United States
To satisfy the requirements of the doctoral degree in Statistics and Computational Social Science, students will complete 36-48 credits of coursework, pass comprehensive exams, engage in research activities, and write and defend a dissertation. If a students enters the doctoral program with a graduate degree, they may be eligible for advanced standing and can waive up to 12 credits of coursework. Sample required courses: Data Science for Social Impact; Ethics of Data Science.
Admission to graduate programs in the Steinhardt School of Culture, Education, and Human Development requires the following minimum components: Résumé/CV Statement of Purpose Letters of Recommendation Transcripts Proficiency in English See NYU Steinhardt's Graduate Admissions website for additional information on school-wide admission. Some programs may require additional components for admissions. See How to Apply for admissions requirements and instructions specific to this program.
Duration: 48 credits
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