Get ready to leverage data to improve healthcare, public health or the sciences with our M.S. Biomedical Data Science program. You will learn valuable skills like data engineering, machine learning and statistical inference and apply them to precision health or population health informatics.
Why Choose Our M.S. Biomedical Data Science Program?
Live, online classes held in the evening: With the same student and faculty interaction as an in-person classroom
Interdisciplinary Expertise: Program blends data science, healthcare, and biomedical research
Hands-on Projects: Develop portfolio of projects that will impress future employers.
Advanced Skills: Master data engineering, machine learning, and statistical inference
Expert faculty: Who are passionate about applying data science to a wide range of healthcare solutions, including combatting cancer and combatting complex diseases.
All other applicants should meet the following requirements:
Educational equivalent of at least a bachelor’s degree from a regionally accredited university in the U.S.
Students are expected to have a working familiarity with the discipline of data science and analytics and general knowledge about the impacts of big data in businesses and corporations. All students should have a working knowledge of all aspects of Microsoft Office; and should be familiar with Internet access and usage.
Grade Point Average (GPA) of 2.75 on undergraduate work with a minimum of a “B” (GPA of 3.00) in undergraduate Calculus, Elementary Statistics, or their equivalents.
If you meet one of the above requirements, you may begin the admissions process.
Application timeline
Applicants can apply to begin our programs in the Fall Semester, starting in August. While we accept students on a rolling basis, the following dates serve as application deadlines the semester. Please contact the Office of Enrollment Management about applying after these deadlines.
Spring 2027 application deadline
Dec. 1, 2026: application deadline.
Dec. 15, 2026: All materials outlined below are due.
Each applicant must complete the following:
Step 1
Complete an application.
That application will include the following:
Two references: one professional and one academic (or both academic if prospective student has no employment experience).
Personal statement: The School of Applied Computational Sciences (SACS) wants to know (1) your personal and career goals, and (2) how the graduate program will contribute to the achievement of your goals via the personal statement form.
Step 2
Official transcripts: Please ask your institution to send official transcripts directly to the Office of Enrollment Management. We prefer to receive an electronic transcript and the institution can email it to sacsenrollment@mmc.edu.If the institution prefers to mail transcripts, please use this address:
Office of Enrollment Management, School of Applied Computational Sciences,
Meharry Medical College,
3401 West End Avenue
Suite 260
Nashville, TN 37203(Must have an undergraduate degree with at least a GPA of 2.75 or better for full admission. Applicants with a GPA of less than 3.00 in calculus and elementary statistics, including linear algebra, may be admitted conditionally and must obtain a minimum of 3.00 GPA by the end of the first 3 courses or 9 credit hours.)
Applicants must submit documentation verifying coursework or demonstrated competency in data science or computing and technology concepts and terminology, statistics, data management, and computer programming.
GRE test scores are not required at this time.
Step 3
On-campus (or virtual) interview with the School’s Admissions Committee.
Additional Requirements for International Applicants
International applicants must hold a degree comparable to a regionally accredited US baccalaureate or master’s degree. Applicants submitting transcripts from international colleges and universities are required to have them verified for US degree program equivalency before being considered for admission. Verification from the following organizations is acceptable:
International Education Services (IES)
World Education Services (WES)
Global Credential Evaluators (GCE)
Educational Credential Evaluators (ECE)
The decision of the verifying organization must be transmitted directly to Meharry Medical College in electronic form.
English proficiency
Adequate proficiency of spoken and written English is essential to success in graduate study, and medical residency training at Meharry Medical College.
Are you interested in this program but need to improve your programming, or statistics other skills? Contact us at sacsadmissions@mmc.edu or complete the request information form to learn about courses you can take to prepare you for either program.
Nazirah Mohd Khairi, Ph.D. Assistant Professor of Biomedical Data Science
M.S. Biomedical Data Science Program Coordinator nazirah.mohdkhairi@mmc.edu View Profile
Exploring the intersection of AI, ML and health disparities
Meharry’s mission of serving underserved communities was the ideal place for me to pursue my passion for data science and continuous learning. I plan to conduct groundbreaking research that explores the intersection of artificial intelligence, machine learning and health disparities.
Michael Paul
Ph.D. Data Science student
Impacting healthcare through computer science
“I wanted to be a doctor because I wanted to help people however I can. Learning about data ethics made me realize you can still have a big impact on people through computer science.”
Julian Broughton
M.S. Biomedical Data Science '24
From Meharry SACS to Novartis
My experience at Meharry SACS led to an exciting role with the Global Data Science Talent Program at Novartis, an innovative leader in science.
Kristen Oguono, MSDS ’24
Ph.D. Data Science student
Using AI to predict rare diseases
At Meharry, I have been applying advanced artificial intelligence to explore how existing drugs can be repurposed and how proteins interact with rare diseases, potentially leading to new solutions.
Bradford Patton, MSDS’24
Ph.D. Data Science student
Life changing research
I spent a summer in the NIH R25 program collecting patient data and using Natural Language Processing to identify Social Determinants of Health among pregnant or postpartum women with substance use disorders.
Micaiah McDonald, MSBD '24
Biomedical Data Science Ph.D. student
Applying AI to cybersecurity
As a cybersecurity consultant, I have used my Meharry data science education to add machine learning and predictive analytics to security strategies.
Clarence White, Jr., Ph.D., MSDS ’24
Software Development Engineer and Cybersecurity Consultant
Applying Ph.D. coursework to detect dementia
While pursuing my doctorate, I was promoted from data manager to data scientist at the Comprehensive Center for Brain Health at the University of Miami Miller School of Medicine. I am applying my Biomedical Data Science Ph.D. courses to numerous studies involving the detection of early signs of dementia in diverse populations.