The Master of Engineering (MEng) program will begin accepting applications in September. Please check back to join our Fall 2027-28 cohort!
Admissions decision notifications will be delivered via email in Spring 2027 from both the Master of Engineering Admissions Team and the UCLA Graduate Admissions Office. Applicants will also be notified if any information is missing from their submission before admission decisions are made.
UCLA Samueli’s one-year, self-supporting Master of Engineering degree is designed to develop future engineering leaders. This full-time, on-campus program addresses the needs of both students and industry and is tailored for those who wish to pursue technical management positions, combining a high-tech skill set with management savvy. The program includes an interdisciplinary technological concentration, an engineering professional development component and a capstone project.
One year. Full time. On campus. Your next career starts here!
AREAS OF STUDY
Excel among a team of innovative engineers, business leaders and the UCLA network of cutting-edge technology and research labs. All areas of study involve an interdisciplinary technology concentration drawing from various departmental expertise.
AI in Medicine
Area Director: Prof. Liang Gao. Integrate faculty expertise from Bioengineering, Computer Science and Medicine. Focus on developing AI-powered technologies to improve personalized care and advance health outcomes, including medical imaging, clinical decision support, genomics, physiological sensing and related areas.
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Artificial Intelligence
Area Director: Prof. Guy Van den Broeck. Integrate faculty expertise from Computer Science, Computational Medicine, and Electrical and Computer Engineering. Focus on building smart machines capable of reasoning, learning and acting intelligently, and performing tasks that typically require human intelligence.
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Data Science
Area Director: Assoc. Prof. Baharan Mirzasoleiman. Integrate faculty expertise from Electrical and Computer Engineering, Computer Science and Computational Medicine. Focus on unifying statistics, data mining and analysis, machine learning, and distributed and parallel systems to understand and analyze large amounts of data.
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Green Energy Systems
Area Director: Prof. Jenn-Ming Yang. Integrate faculty expertise from Materials Science and Engineering, Chemical and Biomolecular Engineering, Mechanical and Aerospace Engineering, and Electrical and Computer Engineering. Focus on renewable energy and energy storage including energy generation (fuel cells, solar energy and other renewables), storage systems (batteries, supercapacitors and large-scale storage), and smart grid systems and grid integration.
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Integrated Circuit (IC) Design
Area Director: Prof. C. K. Ken Yang. This course addresses the growing demand for high-performance circuits in AI, communication and emerging technologies. Moreover, it equips students with the skills to tackle the challenges posed by new devices and complex circuitry.
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Internet of Things (IoT) Systems
Area Director: Prof. Mani Srivastava. Integrate faculty expertise from Computer Science and Electrical and Computer Engineering. Focus on the foundation needed to design, implement and fabricate systems for the “Internet of Things” — where computing, sensing, actuation and communication capabilities are embedded in and coupled with physical spaces and humans.
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Robotics & Autonomous Systems
Area Director: Prof. T-C. Tsao. Integrate faculty expertise from Mechanical and Aerospace Engineering, Electrical and Computer Engineering and Computer Science. Focus focus on recent advances in control systems, robot kinematics, dynamics and sensing, machine learning, optimization, embedded cyber-physical systems, and their applications in cutting-edge or emerging technologies (autonomous robots, electric vehicles, unmanned aircraft, transportation networks, smart grids, etc.)
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Translational Medicine
Area Director: Prof. Liang Gao. Integrate faculty expertise from Bioengineering, Chemical and Biomolecular Engineering, Computational Medicine, the School of Dentistry and the David Geffen School of Medicine. Focus 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.
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Translational Medicine-Biomanufacturing
Area Director: Prof. Daniel Kamei. Integrate faculty expertise from Bioengineering, Chemical and Biomolecular Engineering, Materials Science and Engineering, Computer Science and Medicine. Focus on the challenges and approaches involved in developing manufacturing efficiencies for current and next-generation therapeutics.
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COURSEWORK FOCUS
Successful completion of the MEng program includes nine (9) courses total (36 units).
Interdisciplinary Technology Concentration
Each technology concentration requires five (5) engineering courses. These courses are cross-departmental and are offered as part of the traditional master’s program.
Engineering Professional Development
Engineering professional development requires three (3) graduate-level courses that can include technical project management, systems engineering, financial management, management communications and engineering entrepreneurship.
Capstone Project
Industry-sponsored capstone projects will enhance connections and networking opportunities vital to career development. The project will involve students working in teams to conduct hands-on design, fabrication and testing. It will integrate all aspects of degree requirements: technical, financial, management and communication.
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“The Master of Engineering professional-degree program will develop valuable business and technology skills sets for our students — preparing them for today’s dynamic workplace as they become tomorrow’s industry leaders.”
—Song Li, Faculty Director, Master of Engineering and Associate Dean, Graduate and Professional Education