MENU Electrical Engineering and Computer Science (EECS)
Among the leading departments of its kind in the nation, EECS is creating the technology that puts the “smart” into electronics. Our excellence and impact comes through in the work of our two divisions.
EECS at Michigan
Established. Respected. Making a world of difference. EECS undergraduate and graduate degree programs are considered among the best in the country. Our research activities, which range from the nano- to the systems level, are supported by more than $67M in funding annually — a clear indication of the strength of our programs and our award-winning faculty. With this combination of great resources and talent, EECS at Michigan is transforming and improving a wide range of fields that touch all of our lives.
Undergraduate Programs
Computer Science & Engineering
BSE, Computer Science >
BS, Computer Science (LSA) >
BSE, Data Science >
BS, Data Science (LSA) >
Minor, Computer Science >
Electrical & Computer Engineering
Graduate Programs
Computer Science & Engineering
PhD, Computer Science & Engineering >
MS/MSE, Computer Science & Engineering >
MS, Data Science (LSA) >
Electrical & Computer Engineering
Research
Computer Science & Engineering
Electrical & Computer Engineering
Exposing internet censorship around the globe
A team led by Prof. Roya Ensafi has turned public internet servers into automated sentries that can monitor and report when access to websites is being blocked.
Making MRI Faster and More Accurate
Mai Le, an ECE graduate student, is working to make magnetic resonance imaging (MRI) faster and more accurate in order to save costs and create a better diagnostic tool.
Events
News
Kamal Sarabandi named Fellow of the National Academy of Inventors
Sarabandi is an internationally-renowned researcher in the areas of applied electromagnetics and remote sensing.
Enabling large-scale testing of cancer drugs with machine learning
Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.
Michigan team competes in Amazon challenge to make AI more engaging
The team of twelve students is one of ten worldwide working to give Amazon’s Alexa more human-like conversational skills.
EECS By the Numbers
Members
Research Funding
University
Students, F 2019