Students working together at a Hackathon

Electrical Engineering and Computer Science

Nearly every EECS course is taught by one of our award-winning faculty members, not a teaching assistant. Thirteen computer labs and nine hardware labs provide our students with ample resources to achieve their academic goals. EECS graduates have aquired positions at a wide range of companies, government agencies, and research institutions, including Fortune 500 companies such as Garmin, T-mobile, Honeywell, and Northrop-Grumman.

Notable Stats

75%
Of EECS Graduate Students Receive Funding from Assistantships or Fellowships
$1.7 M
Spent on laboratory equipment in the past six years

Graduate Research Opportunities

Graduate research opportunities are available to EECS students at both of our associated research centers: CReSIS and I2S, as well as many of other research center across campus.

Close up of a microchip

Cutting-Edge Degree Programs

A variety of undergraduate and graduate degree programs are available to students seeking to pursue a career in cutting-edge technology fields, including our new undergraduate Interdisciplinary Computing program.

A student in the Choi Lab

EECS News



We are thrilled to announce the outstanding achievement of recent alumnus Abir Haque (B.S. Computer Science, May 2025). Last week, Haque presented his undergraduate honors research at the prestigious 29th Annual IEEE High Performance Extreme Computing (HPEC) Virtual Conference. His talk, titled "GPU-Accelerated, Mixed Precision GMRES(m) with Varied Restarts," was...

The Kansas Board of Regents recognized our own David O. Johnson, a teaching professor in the Department of Electrical Engineering & Computer Science, as one of its five 2025 Faculty of the Year award recipients. The prestigious program honors outstanding contributions to teaching, student success, research, and Kansas communities. Johnson...

The Department of EECS is pleased to announce that Dr. Cuncong Zhong is the Principal Investigator on a new research grant titled, "Computational Methods for the In-Depth Study of RNA Structural Motifs." The project aims to develop a suite of computational methods for refining the search, classification, and discovery of...