The AI and Data Science in Healthcare certificate is a 12-credit program that prepares students with foundational knowledge in biomedical informatics and the applied skills needed to leverage machine learning and artificial intelligence in healthcare settings.
As healthcare continues to undergo rapid digitization, the volume and complexity of patient data have expanded dramatically. AI is increasingly driving innovation in medical diagnostics, risk prediction, and precision medicine. This certificate will equip learners with the knowledge and practical experience necessary to process, model, and analyze diverse types of healthcare data.
Fall 2026 Applications Due
July 14, 2026
Apply for the graduate certificate in AI and Data Science in Healthcare.
Certificate courses are taught by faculty members in the Division of Biomedical Informatics and Data Science, based within the Department of Health Outcomes and Biomedical Informatics.
Benefits
As a student, you will benefit from this certificate program in multiple ways.
- Complete certificate within 1 year, to build knowledge and methods for applying informatics tools to healthcare settings
- Study with motivated graduate students within our department and across UF
- Apply eligible coursework for transfer of credit, if an M.S. in Biomedical Informatics may be your next step
The certificate is a complete program, and it feature the same high-quality courses taken by full-time students.
Program Overview
| Course | Title | Credits |
|---|---|---|
| GMS 6859 | Foundations of Programming in Biomedical Studies | 3 |
| GMS 6850 | Foundations of Biomedical Informatics | 3 |
| GMS 6803 | Data Science for Clinical Research | 3 |
| GMS 6856 | Introduction to Biomedical Natural Language Processing | 3 |
The 12 required credits are all letter-graded. These in-person graduate level courses are fully accredited by the University of Florida.
What Students Will Learn
Students will develop a strong understanding of the core concepts, study designs, and research methods used in biomedical informatics—and learn how to apply them in real healthcare settings. You will gain hands-on experience building and applying machine learning and AI models using electronic health record (EHR) data and natural language processing (NLP) tools to analyze clinical text.
This certificate is ideal for graduate students, trainees, and professionals seeking to strengthen their skills at the intersection of healthcare, AI, and data science. The program may be completed within one year.
Together, we look forward to building the next generation of leaders in AI-driven healthcare.