Public Health Data Science (Advanced Certificate) at New York University

Programme overview

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.

Faculty: School of Global Public Health | Duration: 15 credits | Location: New York, NY, United States

What you will study

The advanced certificate may be taken as a hybrid of online and classroom-based courses. The courses focus on methods for study design and analysis and on statistical computing and data science tools. Listed below are the required five courses that provide the training for the Public Health Data Science advanced certificate. Sample required courses: Biostatistics for Public Health; Epidemiology; Statistical Programming in R; Regression I: Linear Regression and Modeling; Machine Learning in Public Health.

Official programme page

Application information

Entry requirements

All applicants are required to submit the following: Application form: Applicants not currently enrolled in a GPH Master's program must apply through SOPHAS Express. Current GPH Master's students should apply through this application form. Official transcripts from each institution attended (or an evaluation of your credentials if you graduated from a foreign institution) One letters of recommendation Statement of purpose Resume/CV English language proficiency exam (TOEFL iBT or IELTS Academic) results for all applicants whose native language is not English and who did not receive the equivalent of a US bachelor's degree at an institution where English is the primary language of instruction.

Duration: 15 credits

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