

The Master of Science in Environmental Health Data Science is designed for students who want to combine expertise in environmental health with advanced data science techniques to address critical public health challenges. The program emphasizes the collection, analysis, and interpretation of environmental and health data to inform policy, research, and intervention strategies. Through this program, students develop data analytics, environmental health assessment, statistical modeling, and research methodology skills, preparing them to transform complex datasets into actionable insights for improving public and environmental health outcomes. Graduates gain the ability to apply predictive models, evaluate environmental risk factors, and support evidence based decision making in public health initiatives, regulatory agencies, and research organizations.
This one year, full time and on campus program immerses students in an academically rigorous environment where they work closely with faculty experts and industry professionals. Coursework, hands on projects, and applied case studies allow learners to develop proficiency in data management, geospatial analysis, environmental risk modeling, and program evaluation. Students are trained to integrate large scale datasets, analyze environmental exposures, and provide evidence informed recommendations for policy and community interventions. Graduates leave the program prepared to translate scientific data into actionable strategies, lead analytical projects in environmental health, and contribute to innovative solutions addressing public health and environmental challenges globally.
Semester 1 – Foundations of Environmental Health and Data Science
• Introduction to Environmental Health
• Data Science Fundamentals for Public Health
• Statistical Methods and Data Analysis
• Research Methods in Environmental Health
Semester 2 – Advanced Analytics and Applied Environmental Health
• Predictive Modeling and Machine Learning for Health Data
• Geospatial Analysis and Environmental Mapping
• Environmental Risk Assessment and Policy Evaluation
• Capstone Project in Environmental Health Data Science
Graduates of this program are prepared for roles that require expertise in both environmental health and data analytics. Career paths include environmental data analyst, public health researcher, epidemiology specialist, policy advisor, and environmental risk consultant. Graduates are equipped to manage and analyze large datasets, interpret environmental health trends, design evidence based interventions, and support policy and regulatory decision making. The program also prepares students to work in research institutions, governmental agencies, consulting firms, and nonprofit organizations focused on environmental health, climate impact, and public health initiatives, enabling them to make meaningful contributions to global health challenges.
Students choose this program because it provides a unique combination of environmental health expertise, advanced data science skills, applied research practice, and policy oriented training within a one year intensive structure. The curriculum emphasizes hands on experience with real world datasets, analytical tools, and applied projects, allowing learners to develop practical skills for solving complex health and environmental problems. Graduates gain the knowledge, confidence, and professional competencies necessary to lead data driven initiatives, influence public health policy, and develop innovative solutions to emerging environmental and health challenges in diverse professional contexts.
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States