Engineering University of California, Los Angeles (UCLA)

Overview

The degree addresses the needs of both students and industry, tailored to those who wish to pursue technical management positions, with both high-tech skill set and management savvy. The Engineering program of the University of California, Los Angeles (UCLA) includes an interdisciplinary technological concentration, an engineering professional development component and a capstone project.

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.

Artificial Intelligence

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.

Autonomous Systems

Integrate faculty expertise from Mechanical and Aerospace Engineering, Electrical and Computer Engineering and Computer Science. Focus on recent advances including dynamic systems and controls, machine learning, optimization, and embedded and cyber-physical systems. It will also explore important autonomous system technologies including robotics, autonomous electric vehicles, transportation network, smart grids, etc.

Data Science

Integrate faculty expertise from Electrical and Computer Engineering, Computer Science and Computational Medicine. Focus on unifying statistics, data mining and analysis, machining learning, and distributed and parallel systems to understand and analyze large amounts of data.

Digital Health Technology

Integrate faculty expertise from Computer Science, Bioengineering, Electrical and Computer Engineering, Computational Medicine and the David Geffen School of Medicine. Focus on digital health tools that have the vast potential to improve our ability to accurately diagnose and treat disease and to enhance the delivery of health care.

Green Energy Systems

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.

IoT Systems

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.

Translational Medicine

Integrate faculty expertise from Bioengineering, Chemical and Biomolecular Engineering, Computational Medicine and the David Geffen School of Medicine and Dentistry. 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.