Program Director
Professor Resit Sendag
Electrical, Computer and Biomedical Engineering
sendag@uri.edu
401.874.9423
Designed with Working Professionals and Career-Focused Students in Mind. The next generation of wearable and neuro-technologies must safely perform complex tasks in dynamic, data-rich, and security-sensitive environments. This fully online 12-credit graduate certificate prepares engineers and scientists to design, develop, and secure advanced neural interfaces and wearable systems.
Students gain state-of-the-art knowledge in:
- Neural signal processing
- Medical instrumentation
- Wearable Internet-of-Things (IoT)
- NeuroRobotics
- Brain–machine interfaces
- Secure, connected neurotechnology systems
Graduates develop highly sought-after technical expertise to create intelligent, connected bioinstrumentation systems for healthcare, defense, robotics, and emerging technology sectors.
Stackable toward a Master’s Degree. Credits earned in this certificate count toward the Master of Engineering Management and Leadership and may count toward the Master of Science in Electrical Engineering.
Program Overview
This certificate is designed to build a highly skilled workforce capable of advancing the next generation of wearable and neuro-technologies.
Graduates will be prepared to:
- Integrate robotics with neural and biomedical technologies
- Develop neural interface systems
- Design wearable bioinstrumentation devices
- Process and interpret neurophysiological signals
- Build secure IoT-enabled medical and robotic systems
The program addresses growing industry needs in remote patient monitoring, connected medical systems, wearable sensing, and advanced robotics.
What You’ll Learn
After completing this Graduate Certificate, you will:
- Design advanced medical instrumentation and biosensing systems
- Develop and prototype wearable IoT devices with embedded hardware and software
- Process and decode brain and physiological signals using modern signal processing techniques
- Build and evaluate brain–computer interface (BCI) systems
- Integrate neural signals with robotic and human–machine systems
- Create secure, connected wearable technologies for healthcare, defense, and maritime applications
- Translate neural engineering concepts into deployable, real-world solutions
Curriculum
Four graduate-level courses. One powerful credential.
The Graduate Certificate in Wearable & Neuro-Technologies consists of 12 credits (4 courses), carefully designed to provide a strong foundation in medical instrumentation, wearable IoT systems, neural signal processing, and neuro-robotic integration.
ELE 567 – Medical Instrumentation
ELE 570 – Wearable Internet-of-Things
ELE 575 – Brain Signal processing and Application
ELE 576 – NeuroRobotics
Courses may be taken individually or as part of the certificate sequence. Please see the University Academic Catalog for more details about the specific course prerequisites.
Admission and Cost
Ready to take the next step?
Admission Requirements
Bachelor’s degree or advanced standing in engineering or related discipline from an accredited university.
Not sure if your background is a good fit? Contact our program director.
Application Requirements
Please visit the Graduate School for application requirements and deadlines.
International Student? Please visit this site for more information.For specific semester start dates and details, please refer to the Academic Calendar.
Tuition & Fees
Tuition and fees for graduate programs at the University of Rhode Island can be found here.