Master of Science in Electrical Engineering, Ph.D. in Electrical Engineering
M.S. ELECTRICAL ENGINEERING
The Electrical and Computer Engineering Department offers practice oriented graduate level education and research concentrations that help students advance in their profession and prepare them for their doctoral degree.
The M.S. in Electrical Engineering can be completed on a full-time or part-time basis. Students can fulfill the degree requirements by either completing the research (master’s thesis or research project) or non-research (coursework-only) option. Students may complete 6 semester hours of thesis or a 3 semester hour research project carried out in conjunction with an industrial partner or a faculty mentor. Students can also complete a coursework-only option with the permission of the department graduate coordinator.
The Electrical and Computer Engineering Department offers advanced practice oriented graduate level education and research concentrations in the following areas:
DIGITAL SIGNAL PROCESSING AND DIGITAL DATA COMMUNICATION
The focus of the Digital Signal Processing and Digital Data Communication concentration is digital data transfer using computer networks, modulation, and signal processing. Research includes adaptive filtering, modulation, and detection of multidimensional signals in the presence of noise, speech processing, voice recognition, performance evaluation of local area and wireless networks, broadband networks, and neural signal processing. Visit the Institute for Signal and Information Processing for more information about speech processing research and Neural Engineering Data Consortium for brain signal processing research. Application areas include speech telecommunications, cellular and personal communication services, speech and image compression and recognition, software-defined radios, and receiver architectures in fading channels.
MICROELECTRONICS AND COMPUTER ENGINEERING
Concentration in Microelectronics and Computer Engineering emphasizes electronic circuits, embedded systems, and system-on-a-chip design. This research concentration provides students with advanced knowledge in current practices of computer design, application-specific integrated circuit (ASIC) development, hardware realization, and integrated circuit layout. Digital very-large-scale integration (VLSI) design considers the device parameters and fabrication of complementary metal-oxide-semiconductor (CMOS) integrated circuits for high-speed digital data computation and communication. Application areas include system-chip design methodologies using Verilog, behavioral synthesis in FPGAs, migration of existing integrated circuit designs to new fabrication processes, minimization of propagation delay in high-speed digital circuits, and thermal dissipation. Visit System Chip Design Lab for more information.
SMART SYSTEMS, CONTROL, AND OPTIMIZATION
The Smart Systems, Control, and Optimization research concentration focuses on smart sensors, novel control methods, and optimization algorithms. Research areas in smart systems include smart sensors, sensor networks, human-computer interaction, energy control systems, power optimization, cyber security, and their applications. For research in the area of sensor networks and cyber security, visit Computer Fusion Laboratory. Energy control systems and optimization is also an active research focus in this concentration. Mathematical concepts of control systems including robust and optimal control, and controller hardware and software implementation for dynamic systems are also active research areas. Control system applications in biomedical devices, spacecraft, robots, energy systems, and other physical processes are investigated. For more information on the research about smart systems and control, visit the CSNAP Laboratory website.
Students can concentrate in any one of the above areas by taking appropriate courses and conducting research leading to a master’s or doctoral degree. Interdisciplinary research with other branches of engineering, science, and mathematics are encouraged.
AREAS OF RESEARCH
- Neural signal processing
- Energy control systems
- Power optimization
- Sensor networks
- Microelectronics and VLSI
- Brain-Machine interface
- Speech processing
- Shipboard crane control
- Optimal control
- Autonomous robots
- Smart Sensing Systems
For applicants whose native language is not English, a minimum score of 213 on the computer-based test, 550 on the paper-based test, and 79 on the internet-based test on the TOEFL, or a 6.5 on the academic version of the IELTS is required.
International applicants must submit an official transcripts and a copy of the degree, diploma, or certificate awarded whereby the academic institution validates completion and conferral. Transcripts from all post-secondary institutions must be submitted for the applicant by the university, even if only one course was taken. Applicants who attended institutions that do not issue complete academic records in English must submit official copies of native language records and literal translations into English prepared by an appropriate university or government official.