MSPH in Data Science, Environmental Health Concentration
MSPH in Data Science, Environmental Health Concentration
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Program Overview
The MSPH in Data Science, Environmental Health Concentration trains students to apply advanced computational and statistical methods to address urgent environmental health challenges. Students receive rigorous training in data science alongside specialized coursework in environmental health, preparing them to lead data-driven solutions in public health research and practice.
Curriculum
Required Courses
The MSPH in Data Science, Environmental Health Concentration requires 48 total credit hours of coursework, an applied practice experience, and an integrative learning experience. These requirements must be met while maintaining an overall GPA of at least 2.7.
Admissions
Admissions Requirements
Requirements for admission to the MSPH in Data Science, Environmental Health Concentration:
- Completion of a four-year baccalaureate degree or its equivalent
- Completion of college-level calculus I, biology, and chemistry (applicants may be admitted without these classes but will be asked to complete them prior to matriculation)
- Work or academic experience in the health field and programming experiences are highly desirable but not required
In addition to the SOPHAS application, all applicants will need to submit the following materials when applying:
- Personal statement
- College transcripts
- Two letters of recommendation
- List of research, wor, volunteer, and honors experiences
The GRE is not required for admission and will not be considered as part of the application for admission.
Contact
Get in Touch:
Ariadne Swichtenberg, Senior Assistant Director of Academic Programs