
What is biomedical data science and AI?
Biomedical data science and artificial intelligence (AI) combine computing, statistics, and informatics to uncover patterns in health data, predict patient outcomes, and design smarter clinical systems.
This program integrates these powerful tools to address real-world healthcare problems—from optimizing clinical trials to reducing health disparities through AI-powered solutions.
Why choose our program?

Interdisciplinary curriculum blending informatics, AI, biostatistics, and data science

Real-world projects and internships in research labs, hospitals, or industry settings

Program Duration: Typically completed in 2 years for full-time students and 3–5 years for part-time students.

AI-in-action experience through courses emphasizing real use cases in precision medicine, clinical trials, and population health

High-demand careers that meet the rising need for data experts in biomedical research and health care technology
The job market is growing fast!
AI jobs increased 32% year-over-year in 2024, and health care continues to lead demand for data-driven solutions. – Veritone, Inc.
Our master’s program integrates biomedical informatics, bioinformatics, data science, and biostatistics, offering students both interdisciplinary research opportunities and a holistic educational experience to help prepare them to solve the world’s most important medical challenges.

Who Should Apply
Master’s degree concentration tracks
The Master of Science in Biomedical Data Science and AI offers three distinct concentrations, allowing students to tailor their training to align with their interests and career goals. After completing a shared first semester of foundational coursework, students select one of the following tracks to dive deeper into advanced topics:
Each concentration equips students with the tools and perspectives needed to lead in the rapidly evolving landscape of healthcare, research, and artificial intelligence. Whether your passion lies in clinical applications, statistical research, or AI innovation, our program provides a robust and flexible pathway to success.
Ready to get started?
Fall admission only. Applications are due July 15 (part-time) and Jan. 5 (full-time).
Sara O’Neal, PhD, MEd
Associate Director of Education
- Email: saraoneal@nospam.wustl.edu
- MS and certificate program oversight
- Strategic direction and academic policies
Shelby Cripe, MA
Senior Program Manager
- Email: skcripe@nospam.wustl.edu
- Curriculum planning and advising
- Academic support for current students
Giulina Sertl
Manager of Marketing and Student Recruitment
- Email: gsertl@nospam.wustl.edu
- Marketing and prospective student outreach
- Application requirements and admissions questions
Program Director
Zachary Abrams, PhD
Instructor of Biostatistics
- Email: abramsz@nospam.wustl.edu
Publications & Research Interests →
Key interests: AI, Translational Bioinformatics, NLP, Clinical Informatics