Degree Programs
Our degree programs provide some of the most advanced study and training opportunities available in this rapidly growing field. Courses are taught by NSF and NIH award-winning faculty from several departments at Emory and other area institutions, giving students a chance to tailor the programs to their interests alongside experts in their specific areas of research.
Introduction to Biomedical Informatics
Biomedical informatics (BMI) is an interdisciplinary field that uses biomedical data for scientific inquiry, problem-solving, and decision-making in efforts to improve human health.
This course provides a high-level introduction to the field and serves as a launchpad into other more focused courses that explore the computational and analytic needs of BMI, as well as clinical, research, and translational applications of informatics.
The course is broken into three parts:
- Foundational Tools and Technologies: What is BMI?; data management, storage, and representation; computational techniques; security; machine learning
- Imaging Informatics: Imaging modalities; standards (DICOM, IHE); quantitative imaging for detection and response assessment; imaging as a biomarker; digital pathology; machine learning applied to imaging
- Clinical Informatics: Health care environment and processes, standards, and systems in HIT; application of machine learning to clinical informatics problemsms.