Visit the Milken Institute School of Public Health website for additional information about academic programs and information about GWSPH. Graduate admissions information, including application requirements and deadlines, can be found on the GWSPH Graduate Admissions website.
The following requirements must be fulfilled: 72 credits, including 14 credits in core courses, 15 credits in required concentration courses, 18 minimum credits in elective courses, a 1 credit in practicum, and 12 to 24 credits in dissertation research. Additional requirements include, but are not limited to, completion of a graduate teaching assistantship program certificate.
|Pathways to Public Health
|Responsible Conduct of Research
|Introduction to SAS for Public Health Research
|Introduction to R for Public Health Research
|Introduction to Python for Public Health Research
|Principles of Bioinformatics
|Statistical and Machine Learning for Public Health Research
|Doctoral Topics (Cross Cutting Concepts in Public Health topic only)
|Statistical Inference for Public Health Research I
|15 credits in applied bioinformatics courses.
|Applied Computing in Health Data Science
|High Performance and Cloud Computing
|Public Health Genomics
|Bioinformatics Algorithms and Data Structures
|A minimum of 18 credits in elective courses. Students must take at least 3 credits in biostatistics courses and at least 3 credits in cognate area courses.
|Dissertation Research (taken for 12 to 24 credits)
|Additional program requirements include but are not limited to completion of the University's Graduate Teaching Assistantship Program Certificate, which includes enrollment in UNIV 0250. *
*Visit the GTAP website for additional information.