Open doors for a rewarding career with our graduate programs

There is unprecedented demand to apply artificial intelligence, data-driven technologies, and computational solutions to our most challenging problems. Meharry SACS will empower you to tackle these challenges in healthcare, drug discovery, technology, and business. As an HBCU, we’re committed to diversifying the tech profession—because diverse teams create better algorithms and computing tools that serve everyone.

Victoria Franklin receives Meharry Research Day award
Brittany City, M.S. Data Science '23

From Meharry to AI Engineer

As a student, Brittany City focused on building her post-Meharry career, using her classes to develop a portfolio of diverse projects.

Today, she is a conversational AI engineer for Ticketmaster.
As a student, she reflected on the importance of hands-on, classroom projects.

“It is important to have experience with projects using different data science models so that I have an example for each one. Then I can discuss examples of work I’ve done related to a company or the personal interests of an interviewer.”

Build a portfolio of real-world experience

Prepare to impress future employers with examples of faculty-assisted research. You could apply your education to:

  • Uncover new drug treatments from biological data
  • Leverage AI to solve complex problems,
  • Predict cancer risks,
  • Novel solutions to protect clinical data
  • Address health disparities, and
  • Building and securing the computing technologies that make these impacts possible.

Live, online classes held in the evening

Our online learning environment is a lot like an in-person classroom. We just add the convenience of the virtual setting. Faculty will engage you through interactive class lectures, office hours, in-class exercises and projects.

All classes are held in the evening. You can also continue to earn salary and benefits while you pursue your degree. Plus, your colleagues will notice your expanding skillset and expertise.

Hands-on, project-based learning

We emphasize a practical approach to learning. You will learn to master classroom concepts through several hands-on, individual and group projects that use real-world data. These projects will empower you to develop the problem-solving abilities necessary for success in the field.

Ph.D. Biomedical Data Science

The Biomedical Data Science Ph.D. prepares students to develop novel tools and leverage real-world, massive biomedical data to advance precision health, drug discovery and other areas of biomedical science.

M.S. Data Science

Ph.D. Data Science

A more advanced program that prepares students to pursue novel research that addresses challenging big data issues through advanced techniques like artificial intelligence, machine learning, deep learning, advanced data analytics, and database design.

M.S. Artificial Intelligence

Focusing on applications to healthcare, the M.S. Artificial Intelligence program seeks to equip students with advanced knowledge and skills in AI techniques, including machine learning, deep learning, natural language processing, and computer vision.

M.S. Bioinformatics

The M.S. Bioinformatics program prepares students to apply artificial intelligence and machine learning methods to computational genomics and drug discovery.

M.S. Biomedical Data Science

The M.S. Biomedical Data Science program prepares students to apply data engineering, machine learning and statistical inference to a concentration track in precision health or population health informatics.

M.S. Computer Science

The M.S. Computer Science program integrates artificial intelligence, software engineering, cybersecurity, data science, with high-performance and quantum computing to prepare students for future, innovative careers in tech.

M.S. Cybersecurity Assurance

A healthcare focused program that integrates artificial intelligence with courses in advanced computing, data privacy and other technical, analytical and ethical concepts.

M.S. Data Science

M.S. Data Science

The M.S. in Data Science program offers a comprehensive curriculum covering machine learning, data collection, statistical inference and data visualization and how to effectively communicate findings.

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