Biomedical AI and Data Science Track
Future success in health care lies in effective, data-driven decision making. Students with this specialty will enhance their skills on next generation data analysis and decision support integration. This track is NOT available online.
Best suited for computer scientists, statisticians and clinicians.
BIOMEDICAL AI AND DATA SCIENCE TRACK
YEAR 1
Fall Semester
BMI 6010 - Foundations of Healthcare Informatics
BMI 6018 - Intro to Program for Biomed Data Science
BMI 6203 - Clinical Database Design
BMI 6810 - DBMI Business Seminar
Spring Semester
BMI 6016 - Biomedical Data Wrangling & Quality
BMI 6106 - Introduction to Prob & Stats for Biomed Data Science
BMI 6120 - Standards in Biomed Informatics
BMI 6810 - DBMI Business Seminar
COMP 5360 - Intro to Data Science
YEAR 2
*Note: A Practicum must be completed at 3 or 4 credits; they must be completed before the Capstone presentation.
Fall Semester
BMI 6015 - Applied Machine Learn in Biomed Informatics
BMI 6810 - DBMI Business Seminar
COMP 5960 - Applied Data Visualization (Preferred)
-OR-
CS 6630 - Visualization for Data Scientists
Spring Semester
BMI 6114 - Deep Learning in Biomedicine
BMI 6305 - Principles of Leadership
BMI 6810 - DBMI Business Seminar
BMI 6975 - Non-Thesis Capstone Project: MS
Interested in learning more about the MS Program?
February 15th
Decisions are typically delivered within
4-6 weeks after the submission deadline.
