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Graduate Programs

Graduate Student works in a Min H. Kao Building Lab

Graduate Programs

EECS offers MS and PhD degrees in electrical engineering, computer engineering, and computer science.

Typically, MS degrees may be completed during three semesters of full-time study or two to three years of part-time study. Obtaining a PhD takes four to five years of full-time study for students who enter with a BS degree and about three years for students who enter with an MS degree. The department also offers an MS-MBA program in each of the three disciplines.

For questions regarding the graduate programs and/or graduate school policies as they pertain to EECS, contact Jens Gregor, director of graduate studies. Or, schedule a tour with the department.

For questions concerning graduate school admission, email or contact Jinyuan “Stella” Sun, graduate admissions coordinator.

New Graduate Student Orientation

Note: Given the pandemic, EECS is waiving GRE scores for MS applicants and for PhD applicants with a degree (undergrad or grad) from a domestic school. International PhD applicants will still be asked for a GRE score.

Majors, Certificates, and Degrees

View the requirements and curriculum for the MS-MBA program.

Current Student Information


Major Degree Concentration
Electrical Engineering (EE) MS, PhD, Dual MS-MBA Automotive Manufacturing and Technology, Communications, Control Systems, Electromagnetics and RF Circuits, Energy Science and Engineering (PhD only), Fire Protection Engineering, Power Electronics, Power Systems, Solid-state Electronics
Computer Engineering (CpE) MS, PhD, Dual MS-MBA Computer Architecture, Computer Networks, Computer Vision, Cybersecurity, Data Analytics, Embedded Systems, Energy Science and Engineering (PhD only), Image Processing, Information Systems, VLSI System Design
Computer Science (CS) MS, PhD, Dual MS-MBA Computational Imaging, Computer-Human Interaction, Cybersecurity, Cyberinfrastructure, Data Mining, Data Analytics, Data Visualization, Discrete Optimization, Energy Science and Engineering (PhD only), High Performance Computing, Intelligent Systems and Machine Learning, Life Science Applications, Software Systems