Electrical Engineering M.S.


Shape the future with advanced engineering expertise.

The Master of Science (M.S.) program in Electrical Engineering at the University of Rhode Island empowers aspiring engineers with the knowledge, skills, and innovative thinking required to excel in today’s high-tech world.

Program Highlights:

  • Personalized Learning Environment: Our small class sizes ensure personalized attention, allowing for deeper interaction and tailored support from our dedicated faculty.
  • Comprehensive Curriculum: Engage with a curriculum that blends rigorous theoretical foundations with practical applications, preparing you for complex engineering challenges.
  • Flexible Study Options: Choose between a research-focused Thesis Track and a coursework/project-oriented Non-Thesis Track to align with your career goals and interests.
  • Diverse Specializations: Customize your MS degree with specializations in cutting-edge areas of electrical, computer and biomedical engineering. Our program offers extensive options, each led by experts in their fields:
    •  Biomedical Engineering: modeling and control of physiological systems; medical instrumentation and biosignal processing; biomedical sensors; wearable embedded systems; neurorobotics; brain-computer interfaces. Faculty: Walt Besio, Fred Vetter, Yalda Shahriari, Reza Abiri, Kunal Mankodiya, Dhaval Solanki.
    • Integrated Circuit Design and Electronics: mixed-signal integrated circuits; VLSI design and simulation; high-level synthesis and design tools; high-resolution power converters; reliable and low-power electronics; CMOS electronics for harsh environments. Faculty: Yeonho Jeong, Sungho Kim, Yu Bi.
    •  Communication and Networks: data compression and coding; modulation and demodulation; reliable and secure communication; network architectures and protocols; local area networks (LAN); TCP/IP; Internet applications; wired and wireless computer communication; network security; distributed computing systems. Faculty: Ramdas Kumaresan, Qing Yang, Hui Lin.
    •  Computer architectures and Digital systems: processor (CPU/GPU/accelerator) architectures; memory structures and hierarchy; I/O systems; reliable and networked data storage systems; parallel and distributed systems; FPGA designs; VHDL/Verilog; adaptive systems; high-performance and scalable cloud computing systems. Faculty:  Qing Yang, Jien-Chung Lo, Resit Sendag, Weiwei Jia.
    • Control Systems and Robotics: control and estimation theory; intelligent systems; multivariable systems; nonlinear systems; modeling of deterministic and stochastic systems; model order reduction; optimal smoothing, filtering and prediction; pattern recognition, classification, computer vision; computerized imaging systems and image analysis. AI in control and robotics. Faculty: Richard Vaccaro, Paolo Stegagno.
    • Signal Processing: detection and parameter estimation; prediction and filtering; spectrum analysis; array processing; digital filter synthesis; adaptive filtering, algorithm design. Faculty: Kay Adhikari, Peter Swaszek, Richard Vaccaro, Ramdas Kumaresan.
    • Embedded Systems and Applications: embedded system designs, hardware/software designs in embedded applications; AI in embedded applications. Faculty:  Qing Yang, Jien-Chung Lo, Resit Sendag, Weiwei Jia, Kunal Mankodiya, Dhaval Solanki.
    • Machine Learning and Applications: linear regression, support vector machines, deep learning, ensemble techniques and model tuning, supervised and unsupervised learning. Faculty: Haibo He.
    • Cyber Physical Security: Security and Resilience for Cyber Physical Systems and Internet of Things (IoT). Advanced network and system technologies for security. Faculty: Yan Sun, Hui Lin, Yu Bi.
  • World-Class Faculty: Our faculty are not just educators but leading researchers and industry experts who integrate their latest research findings into the curriculum, enriching your learning experience.
  • Career Advancement: Graduates are equipped to lead and innovate in various sectors such as academia, industry, and government, benefiting from a strong foundation in advanced engineering principles and specialized knowledge.