MSPH in Data Science
MSPH in Data Science
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Program Overview
The MSPH in Data Science equips students with the skill set they need to identify and apply appropriate algorithms for data collection, curation, and analysis to address real-world problems in public health. Students are trained to meet the needs of a high-demand and rapidly advancing health research field. Students will also be trained in foundational topics in public health such as health care systems, health promotion and management, and evidence-based approaches to public health.
Interested in Specializing Your Data Science Skills?
Rollins offers two MSPH in Data Science concentrations.
Curriculum
Required Courses
The MSPH in Data Science requires 48 total credit hours of coursework, an applied practice experience, and an integrative learning experience.
Admissions
Admissions Requirements
Requirements for admission to the MSPH in Data Science:
- Completion of a four-year baccalaureate degree or its equivalent
- Completion of Calculus I
- 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 to the MSPH in Data Science:
- Personal statement including your interest in the field of public health and data science, as well as your interest in Rollins.
- College transcripts
- Two letters of recommendation
- Resume
The GRE is not required for admission and will not be considered as part of the application for admission.
Contact
Get in Touch:
Angela Guinyard, Assistant Director of Academic Programs
Ariadne Swichtenberg, Senior Assistant Director of Academic Programs
Colleen Seeber, Assistant Director of Academic Programs