Digital Health Technology
Digital health tools have the vast potential to improve our ability to accurately diagnose and treat disease and to enhance the delivery of health care.
This area of study will integrate faculty expertise from Computer Science, Bioengineering, Electrical and Computer Engineering, Computational Medicine and the David Geffen School of Medicine.
The curriculum will focus on analyzing biomedical data, combining data sciences, mobile health, health information technology, wearable devices and personalized medicine.
“At UCLA, there is groundbreaking research going on — both in engineering and medicine. Digital Health Technology is designed to connect both of these fields to improve quality of life.”
Area Director: Prof. Eleazar Eskin
COM SCI CM222
(Instructor: Prof. E. Eskin)
|COM SCI M225
Computational Methods in Genomics
(Instructor: Prof. J. Ernst)
COM SCI CM224
(Instructor: Prof. E. Halperin)
COM SCI M226
(Instructor: Prof. S. Sankararaman)
(Instructor: Prof. A. Meyer)
|Engineering Professional Development Elective||Engineering Professional Development Elective|
|Engineering Professional Development Elective|
|12 Units||8 Units||8 Units||8 Units|