Columbia University’s Mailman School of Public Health offers a distinctive Master of Science in Environmental Health Data Science, a full-time, one-year (12-month) program designed to train the next generation of leaders at the intersection of environmental health, data science, and public health decision-making.
Housed in the Department of Environmental Health Sciences, this interdisciplinary program responds to the rapidly growing demand for professionals who can integrate large-scale data, advanced analytics, and domain expertise to address pressing environmental and climate-related health challenges. Students are immersed in a rigorous curriculum that combines foundational environmental health science with modern data science, statistical modeling, and computational methods.
The program emphasizes hands-on, applied training in core data science skills alongside advanced coursework in environmental exposures, toxicology, climate and health, and population-level health impacts, with thoughtfully selected electives that allow students to tailor their studies to specific interests. Through coursework projects, real-world datasets, and a culminating Applied Practice Experience (APEx), students reinforce classroom learning through application in a real-world research or professional context, supported by faculty mentorship. Located in New York City, students also benefit from unparalleled opportunities to engage with leading researchers, public agencies, and global organizations addressing environmental health challenges locally and worldwide.
Graduates of the MS in Environmental Health Data Science are well prepared for careers in academia, government, industry, non-profits, and global health organizations, as well as for further doctoral training. With its accelerated pace, applied focus, and integration of data science and environmental health expertise, this program offers a unique pathway for students seeking to make an immediate impact at the intersection of data and health.
To learn more: https://www.publichealth.columbia.edu/academics/degrees/master-science/environmental-health-data-science
Program Highlights
- Accelerated one-year curriculum (36 credits) spanning fall, spring, and summer terms
- Rigorous training in data science, statistical modeling, and computational methods for environmental health
- Core coursework including Data Science I & II, Biostatistical Methods, Environmental Determinants of Human Health, Public Health GIS, and Advanced Analytic Methods in EHS.
- Flexible electives allowing students to tailor training toward climate and health, environmental exposures, spatial analysis, toxicology, or population health
- Faculty-mentored master’s thesis focused on real-world environmental health data science questions
Admissions
Requirements and submission instructions can be found here.