Biomedical Data Science

M.S. Biomedical Data Science

Masters

Degree Granted

22 Months

Length of Program

Fall, Spring, Summer

Term

Online

Format

$22,050

Tuition/Per Year Additional fees apply

Biomedical Data Science

M.S. Biomedical Data Science

Masters

Degree Granted

22 Months

Length of Program

Fall, Spring, Summer

Term

Online

Format

Masters

Tuition/Per Year Additional fees apply

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.

Scholarships

Students are eligible for scholarships.

Learn more about SACS scholarships

  • Curriculum
  • Courses
  • Hands-On Research
  • Career Outlook
  • Admission Requirements
  • Contact

M.S. Biomedical Data Science Curriculum

Core Competencies in Our Biomedical Data Science Master’s

Our curriculum is designed to develop leaders who will improve healthcare, science, and public health through data science. You’ll learn:

  • Programming and software engineering
  • Advanced data analytics for healthcare
  • Machine learning in biomedical research
  • Statistical inference for clinical studies
  • Data engineering for health informatics
  • Precision medicine and personalized healthcare
  • Population health data analysis
  • Big data management
  • Ethical considerations in health data science

You will also choose one of two concentration tracks:

  • Precision Medicine Informatics
  • Population Health Informatics

Degree Requirements

14 courses, 42 graduate credits

Student Outcomes

Graduates of the program will have the ability to:

  1. Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
  2. Design, implement and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
  3. Communicate effectively in a variety of professional contexts.
  4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
  5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
  6. Apply knowledge of data science and mathematical statistics appropriate to the discipline.

Program Educational Objectives (PEOs)

  1. Have professional careers in industry or academia or advance in graduate studies.
  2. Apply knowledge and skills to solve problems effectively and efficiently, contributing to the technical advancement of the discipline.
  3. Conduct themselves with integrity and incorporate proper ethical considerations in their work.
  4. Continue to seek knowledge to thrive in an increasingly globalized society.
  5. Effectively lead, work and communicate in cross functional teams.
  6. Serve their communities, whether locally, nationally, or globally.

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

MSBD 515  Biomedical Data Conscientiousness (3 credit hours)   

MSBD 520  Introduction to Biostatistics (3 credit hours)   

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

MSBD 530  Statistical Methods for Biomedical Data Science (3 credit hours)   

MSBD 540  Introduction to Artificial Intelligence in Healthcare (3 credit hours)   

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

MSBD 566  Predictive Modeling and Analytics (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)   

MSBD 590  Capstone (3 credit hours)   

Precision Medicine Informatics Concentration Track:   

MSBD 535  Precision Medicine Informatics (3 credit hours)   

MSDS 545  Introduction to Computational Software Engineering (3 credit hours)   

Population Health Informatics Concentration Track:   

MSBD 536  Population Health Informatics (3 credit hours)   

MSBD 545  GIS for Health Informatics (3 credit hours)   

Research projects in our MS Biomedical Data Science program

Our students have pursued meaningful research topic such as:

  • Applying machine learning to ovarian cancer predicting biomarkers
  • Identify predictors of maternal mental disease
  • Applying AI for accurate cell quantification

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

Biomedical data science career outlook

Biomedical data scientists also enjoy rewarding salaries*.

Average salary 2024

$123,544

*According to Glassdoor, June 2024.

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 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.

 

Admissions Contact

Te'Onnika Hollowell

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

Program Contact

Nazirah Mohd Khairi, Ph.D.

Nazirah Mohd Khairi, Ph.D.
Assistant Professor of Biomedical Data Science
M.S. Biomedical Data Science Program Coordinator
nazirah.mohdkhairi@mmc.edu
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