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.
The UCLA Samueli School of Engineering’s Digital Health Technology 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
Sample Curriculum
| Fall | Winter | Spring | Summer |
| BIOENGR 275 Machine Learning and Data-Driven Modeling in Bioengineering (Instructor: Prof. A. Meyer) |
BIOENGR M228 Medical Decision Making (Instructor: Prof. J. Sayre) |
COM SCI CM221 Introduction to Bioinformatics (Instructor: Prof. H.J. Pinmentel) |
Capstone Project |
| BIOENGR M260 Neuroengineering (Instructor: Prof. W. Liu) |
BIOENGR M233A Medtech Innovation I: Entrepreneurial Opportunities in Medical Technology (Instructor: Prof. H. Tseng) |
Engineering Professional Development Elective |
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| Engineering Professional Development Elective |
Engineering Professional Development Elective |
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| 12 Units | 12 Units | 8 Units | 4 Units |