Artificial intelligence is rapidly transforming healthcare, from how diseases are detected and diagnosed to how treatments are developed and delivered. Advances in machine learning and the increasing adoption of AI in clinical and biomedical applications have created a growing demand for engineers who can develop AI-powered technologies to improve personalized care and advance health outcomes.

The UCLA Samueli Master of Engineering’s AI in Medicine track is an interdisciplinary area of study at the intersection of engineering, artificial intelligence and healthcare. Leveraging faculty expertise from Bioengineering, Computer Science and Medicine, students will gain hands-on experience with machine learning and AI methods tailored specifically to medical applications, including medical imaging, clinical decision support, genomics, physiological sensing and related areas. Industry partnerships also provide students with opportunities for real-world engagement with leading healthcare and biotech companies through guest lectures and the capstone project.