The Mike Wiegers Department of Electrical and Computer Engineering offers a Master of Science in Electrical and Computer Engineering and Doctor of Philosophy in Electrical and Computer Engineering.
Biomedical instrumentation; wearable medical devices; neural engineering; brain-computer interfaces; electromagnetic energy interactions with cells/tissues; computer modeling of medical devices; technologies for image-guided interventions; biomedical signal and image processing; AI/ML applications in health care
Research in this area is supported by grants from the NIH, NSF, the medical device industry and national labs.
Power distribution systems; power electronics; operation and planning of power systems; grid-forming and grid-following inverters; electric motor drive systems; machine learning application in power systems; AI applications in power electronics; demand side management; grid integration of electric vehicles; cybersecurity in power systems; security of grid-interactive inverters; resilience of power and interdependent infrastructures
Research in this area is supported by grants from the NSF, DOE, ONR, power industry and national labs.
Hardware security; system-on-chip protection; hardware and software co-verification; formal verification and program analysis; FPGA and integrated circuit design; digital signal processing; stochastic spreading processes on networks; epidemic forecast; mitigation strategies assessment; wireless communication systems and networks; AI/ML approaches to network modeling; analysis and optimization
Research in this area is supported by grants from the NIH, NSF, DOD, DOE, USDA and industry.
The doctorate program is a research-oriented curriculum and requires 60 hours beyond the master’s degree, including original research of sufficient quality and importance to merit publications in refereed journals. Graduates of the program find employment in national laboratories, academic institutions, government facilities and private industries.
At the master's level there are three options: thesis, report and coursework only. The course work only option is available as an online program for distance students and offers specializations in either power engineering or communications and network science. All require a minimum of 30 hours of credit.
Most incoming students have undergraduate degrees in electrical engineering or computer engineering. Students with backgrounds in physics, mathematics, computer science and other areas are also accepted into the program. These students may be required to complete undergraduate electrical engineering courses prior to full graduate admission. For a list of suggested coursework, visit our FAQ page.
Jan. 8 for fall (August) enrollment
Aug. 1 for spring (January) enrollment
Dec. 1 for summer (June) enrollment
Research and teaching assistantships are available on a competitive basis. All applications are evaluated to determine if they are eligible for these positions. Most graduate assistants will have both teaching and research responsibilities. Students on five-tenths time assistantships pay in-state fees.
Graduate study in electrical engineering will prepare engineers for pursuit in many diverse and high-technology careers. These careers can be in government, industry, or academia. Possible areas of employment are communications systems, medical equipment design, computer design and applications, power generation and distribution, automotive systems and manufacturing systems.
The department is located in Engineering Hall, a 100,000-square-foot facility designed to provide an excellent academic environment. There are numerous well-equipped instructional and research laboratories including the Biomedical Computing and Devices Lab, Communications Circuits Lab, Digital Systems Lab, Electronic Circuits Lab, Energy Systems Lab, Microcomputer Lab, Medical Component Design Lab, Nano/Micro Fabrication Lab, Power Electronics Lab and Wireless Hardware Design Lab. Extensive networked computing resources are available to the department.
3108 Engineering Hall
1701D Platt St.
Manhattan, KS 66506-5200
785-532-5600
grad@ece.ksu.edu
