MSBD 510 Computer Programming Foundations for Biomedical Data Science (3 credit hours)  

MSBD 501 Introduction to Bioinformatics (3 credit hours)  

MSBD 502 Computational Structural Biology (3 credit hours)  

MSBD 520 Introduction to Biostatistics (3 credit hours)  

MSBD 525 Data Management Foundations for Data Science (3 credit hours)  

MSBI 530 Mathematical Modeling for Bioinformatics (3 credit hours)  

MSBD 550 Applied Machine Learning for Biomedical Data Science (3 credit hours)  

MSBI 555 Computational Genomics (3 credit hours)  

MSBI 565 Computational Biomedicine and Drug Discovery (3 credit hours)  

MSBD 570 Visualization and Unstructured Data Analysis (3 credit hours)  

MSBD 575 Ethics in Biomedical Data Science (3 credit hours)  

MSBD 580 Research Methods (3 credit hours)  

MSBI 585 Special Topics in Bioinformatics and Computational Biology (3 credit hours)  

MSBD 590 Capstone (3 credit hours) 

Possible Research projects in our MS Bioinformatics program

You can apply your M.S. Bioinformatics classroom experience to research projects that will prepare you for your future career. Potential projects include:

• Machine learning models for drug response prediction
• Integration of multi-omics data to identify novel biomarkers
• Structural bioinformatics approaches to predict protein-drug interactions
• Applying deep learning for protein structure and function prediction
• Population genomics to identify the genomic determinants of health

Your research projects will be powered by a high-performance, supercomputer network and access to Meharry’s robust, diverse dataset.

Together for CHANGE Initiative

Students at Meharry SACS may also benefit from the unique exposure to the Together for CHANGE (T4C) Initiative. The initiative, in partnership with leading pharmaceutical companies at the highest level of drug development—Regeneron, AstraZeneca, Novo Nordisk and Roche—is a comprehensive 10-year initiative that will lead to more equitable medical research and better treatments for Black populations worldwide by creating the first genomics database of people of African ancestry—the world’s largest—composed of genomic and phenotypic data from up to 500,000 volunteer participants.

Graduates could pursue impactful careers in the pharmaceutical, biotechnology, healthcare and similar industries.

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.)
• CV: Submit an electronic CV to sacsenrollment@mmc.edu.
• 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.

Please review Meharry’s  F-1 English Language Policy and the College’s English proficiency requirements policy.

Get Prepared

Are you interested in the M.S. Data Science or M.S. Biomedical Data Science program but need to improve your programming or statistics skillset? Contact us at sacsenrollment@mmc.edu or complete the request information form to learn about courses you can take to prepare you for either program.

Admissions Contact

Te’Onnika Hollowell
Student Recruitment and Admissions Specialist
teonnika.hollowell@mmc.edu

Program Contact

Ashutosh Singhal, Ph.D.
Assistant Professor, Biomedical Data Science
M.S. Bioinformatics Program Coordinator