The Graduate Certificate in Biomedical Data Science and AI is designed for professionals who want to build technical fluency in health-related data analysis, artificial intelligence, and biomedical informatics. Whether the student is a researcher, analyst, clinician, or industry professional, this flexible, part-time program will expand their impact in data-driven healthcare without the need to commit to a full degree.

The Certificate in Biomedical Data Science and AI requires 18 credit units and begins in the fall semester. Students will complete six core courses and three specialization courses in their area of interest.

Core Courses (9 credit units)

BDSAI 5001R for Biomedical Sciences1
BDSAI 5002Python for Biomedical Sciences1
BDSAI 5003Introduction to Biomedical Data Science2
BDSAI 5004Introduction to Biomedical Informatics2
BDSAI 5005Fundamentals of Biostatistics2
BDSAI 5301Seminar Series for Biomedical Sciences1
or BDSAI 5302 Journal Club for Biomedical Sciences

Concentration Courses (9 credit units)

Students choose between courses in the lists below and 3 credit units of electives.

Biostatistics

BDSAI 5131Survival Analysis3
BDSAI 5132Statistical Analysis of Longitudinal Data3
BDSAI 5213Causal Artificial Intelligence for Healthcare3

Biomedical Informatics

BDSAI 5121Electronic Health Records: Foundations3
BDSAI 5122Electronic Health Record Analytics3
BDSAI 5123Advanced Multi-Omic Modeling and Systems Analysis3

 Data Science

BDSAI 5111Data Visualization3
BDSAI 5112Advanced AI Topics in Biomedical Informatics: Deep Learning, Transformers, and Large Language Models3
BDSAI 5212Biomedical Data Mining3

Academic Policies

Academic policies for I2DB degree programs can be found in the Student Handbook.

Prospective Students

Those interested in applying or who would like more information may contact the program recruiter.

Contact Info

Website:https://i2db.wustl.edu/