New York University School of Global Public Health 7 courses 15 total credits
Public Health Data Science draws upon methods from statistics, epidemiology and computer science. The advanced certificate in Public Health Data Science will provide students and practitioners with training in biostatistics, epidemiology, regression and data science, as applied to public health research and practice. This will prepare them to work at the intersection of these fields to advance public health research and practice. The advanced certificate is currently open to non-student professionals and GPH students in the MPH and MS programs. Current GPH students should review the curriculum page for further information. Students will work in many possible settings. The certificate training provides a very broad base of knowledge that will gain them entry into several types of positions: Applicants must have already obtained an undergraduate degree. They should have work experience in data science OR they should be currently enrolled in or have completed a Masters of Public Health, a Masters of Science in Biostatistics, a Masters of Science in Epidemiology, a PhD in Public Health, a Masters of Public Policy, Masters of Public Administration, Law or Medical, Dental or Nursing degree program. Other graduate degree programs will be considered on a case-by-case basis. They should be able to articulate a clear interest in and understanding of Public Health Data Science.
| Code | Course Title | Credits |
|---|---|---|
| GPH-GU 2995 or GPH-GU 5995 | Biostatistics for Public Health or Biostatistics for Public Health | 3 |
| GPH-GU 2106 or GPH-GU 5106 | Epidemiology or Epidemiology | 3 |
| GPH-GU 2182 | Statistical Programming in R | 3 |
| GPH-GU 2353 | Regression I: Linear Regression and Modeling | 3 |
| GPH-GU 2338 | Machine Learning in Public Health | 3 |
| Total | 15 credits | |
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