Note: Starting Fall 2022, the Master of Science in Electrical and Computer Engineering (MSECE) program will replace the MS in Engineering with concentration in Embedded Electrical and Computer Systems (EECS) program. Students in the EECS program have the option of continuing with the EECS program or transitioning to the new MSECE degree program. Please contact the graduate program coordinator Dr. Hamid Shahnasser (hamid@sfsu.edu) with any questions.
The MSECE program in the School of Engineering offers courses and research opportunities in the areas below:
- Embedded systems, cyber-physical systems (CPS), and their applications
- Designing reliable, energy-efficient, high-performance computing circuits in emerging nanotechnologies
- Analog and radio frequency circuits and systems for biomedical applications
- Hardware security, Internet-of-Things (IoT) & CPS security, and embedded system design security
- Neuromorphic computing
- Designing, prototyping, and testing mechatronic and robotic systems
- Mobile computing, deep learning acceleration, and distributed edge computing
- Wireless communications
Research in these areas is carried out in Nano Electronics and Computing Research Laboratory (NeCRL), Intelligent Computing and Embedded Systems Laboratory (ICE Lab), SF Bioelectronics Laboratory, Analog Design Center, Mobile and Intelligent Computing Laboratory (MIC Lab), and Controls for Assistive and REhabilitation Robotics Lab (CARE Lab). More information about research labs in the School of Engineering can be found here.
Program Coordinator
Coursework Requirements
Students joining in Fall 2022 or later follow the MSECE coursework requirements. Students joining before Fall 2022 have the option of continuing with the old EECS program by following the EECS coursework requirements or transitioning to the new MSECE degree program by following the MSECE coursework requirements.