4732E Boelter Hall
Box 951601
Los Angeles, CA 90095-1601
310-825-6542
Department e-mail
Department website
Jenn-Ming Yang, PhD, Associate Dean
The one-year Master of Engineering (MEng) is a self-supporting, professional degree designed to develop future engineering leaders. Tailored to those who wish to pursue technical management positions, the degree addresses the needs of both students and industry with high-tech skill set and management savvy. Students in the program develop technical mastery in emerging research areas, learning business and technology management skills while creating real-world projects with industry input.
For admission information, see Graduate Programs Admission on page 27.
The following introductory information is based on 2021-22 program requirements for UCLA graduate degrees. Complete program requirements are available at Program Requirements for UCLA Graduate Degrees. Students are subject to the detailed degree requirements as published in program requirements for the year in which they enter the program.
Students must complete nine courses (36 units of graduate and upper-division undergraduate coursework) in or related to the major subject areas:
Students take two technical courses and one engineering professional development course in fall (12 units), two technical courses in winter (8 units), one technical and one engineering professional development course in spring (8 units), and one engineering professional development and one capstone project course in summer (8 units).
Guy Van den Broeck, PhD (Computer Science), Area Director
The artificial intelligence program integrates faculty expertise from the departments of Computational Medicine, Computer Science, and Electrical and Computer Engineering. Study focuses on building smart machines capable of reasoning, learning, and acting intelligently; and performing tasks that typically require human intelligence.
Tsu-Chin Tsao, PhD (Mechanical and Aerospace Engineering), Area Director
The autonomous systems program integrates faculty expertise from the departments of Computer Science, Electrical and Computer Engineering, and Mechanical and Aerospace Engineering. Study focuses on recent advances including dynamic systems and controls, embedded and cyber-physical systems, machine learning, and optimization. It also explores important autonomous system technologies including autonomous electric vehicles, smart grids, robotics, transportation networks, and more.
Junghoo (John) Cho, PhD (Computer Science), Area Director
The data science program integrates faculty expertise from the departments of Computational Medicine, Computer Science, and Electrical and Computer Engineering. Study focuses on unifying data mining and analysis, distributed and parallel systems, machining learning, and statistics to understand and analyze large amounts of data.
Eleazar Eskin, PhD (Computer Science), Area Director
The digital health technology program integrates faculty expertise from the departments of Bioengineering, Computational Medicine, Computer Science, Electrical and Computer Engineering, and the David Geffen School of Medicine. Study focuses on digital health tools that have vast potential to improve the ability to accurately diagnose and treat disease, and to enhance health care delivery.
Bruce S. Dunn, PhD (Materials Science and Engineering), Area Director
The green energy systems program integrates faculty expertise from the departments of Chemical and Biomolecular Engineering, Electrical and Computer Engineering, Materials Science and Engineering, and Mechanical and Aerospace Engineering. Study focuses on renewable energy and energy storage, including energy generation (fuel cells, solar energy, and other renewables); smart grid systems and grid integration; and storage systems (batteries, supercapacitors, and large-scale storage).
Mani B. Srivastava, PhD (Computer Science, Electrical and Computer Engineering), Area Director
The Internet of Things program integrates faculty expertise from the departments of Computer Science and Electrical and Computer Engineering. Study focuses on the foundation needed to design, implement, and fabricate systems for the Internet of Things—where actuation, communication, computing, and sensing capabilities are embedded in and coupled with physical spaces and humans.
Song Li, PhD (Bioengineering), Area Director
The translational medicine program integrates faculty expertise from the departments of Bioengineering, Chemical and Biomolecular Engineering, Computational Medicine, the School of Dentistry, and the David Geffen School of Medicine. Study focuses on improving human health and longevity by translating discoveries in biomedical sciences into disease therapies. Translational medicine facilitates the development of diagnostic tools and therapeutics, and the application of systems biology and data sciences to biomedical problems.