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 (2)
BMI 6018 - Intro to Program for Biomed Data Science (3)
BMI 6203 - Clinical Database Design (2)
BMI 6810 - DBMI Business Seminar (0.5)
Spring Semester
BMI 6016 - Biomedical Data Wrangling & Quality (2)
BMI 6106 - Introduction to Prob & Stats for Biomed Data Science (3)
BMI 6120 - Standards in Biomed Informatics (2)
BMI 6810 - DBMI Business Seminar (0.5)
COMP 5360 - Intro to Data Science (3)
YEAR 2
Note: BMI 7902 - BMI Practicum must be completed at 3 or 4 credits, and completed before the Capstone presentation.
Fall Semester
BMI 6015 - Applied Machine Learning in Biomed Informatics (3)
BMI 6810 - DBMI Business Seminar (0.5)
COMP 5960 - Applied Data Visualization (3, Preferred)
-OR-
CS 6630 - Visualization for Data Scientists (3)
Spring Semester
BMI 6114 - Deep Learning in Biomedicine (3)
BMI 6305 - Principles of Leadership (1.5)
BMI 6810 - DBMI Business Seminar (0.5)
BMI 6975 - Non-Thesis Capstone Project: MS (1)
Interested in learning more about the MS Program?
February 15th
Program decisions are typically delivered
6-8 weeks after the submission deadline.
