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), AI-LAMP: AI Lab for Augmented Multimodal Perception, Personalized Health and Assistive Technologies Laboratory (PHAST Lab), Gator Engineering Education Research Lab (GEER 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.
To submit your Proposal for Culminating Experience (PCE) form you must have at least 3.0 GPA in all graduate coursework and in all coursework listed on your Advancement To Candidacy (ATC) form for the minimum 30 units applied towards your Master of Science degree. You must already have a ATC on file before you can submit the Culminating Experience form. All non-supervisory courses listed on the ATC must have a grade of B- or higher.
Program Coordinator
