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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 $75M 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
COVID-19 and Fall 2020
Computer Science & Engineering
Fall 2020 will consist of a mixture of in-person and remote classes. All courses will offer purely remote options.
Electrical & Computer Engineering
Fall 2020 will consist of a mixture of in-person and remote classes. All courses will offer purely remote options.
Undergraduate students help develop statewide COVID app
The students worked with faculty and state health officials to develop an app for tracking COVID-19 symptoms in Michigan that is now used by residents and workers in order to help the state reopen.
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
New grant aims to create better algorithms to manage big data by getting “non-real”
Professors Laura Balzano and Hessam Mahdavifar are developing new ways to compress data through randomized algorithms to remove redundancies
Introduction to Discrete Events Systems: Third Edition
This popular textbook, first published in 1999, is now available as an e-book, or hard cover on demand.
Enabling efficient, globally distributed machine learning
A group of researchers at U-M is working on the full big data stack for training machine learning models on millions of devices worldwide.
EECS By the Numbers
Members
Research Expenditures
University
Students, F 2020