About University of Michigan
With 102 top-10 graduate programs, the University of Michigan is considered the #1 public research university in the U.S. according to the National Science Foundation. U-M was founded in 1817 as the first public university in the Northwest Territories. Today, U-M is a leader in higher education, attracting top students and faculty from across the globe. With more than 630,000 proud alumni, graduates join a strong network that includes the first American to walk in space, the creator of the iPod, the co-founder of Google, and the 38th U.S. president. From earning election to the National Academy of Science to winning the Nobel Prize, U-M’s world-class faculty’s research not only gains attention, it changes the world.
About University of Michigan School of Information
Michigan's Information programs consistently earn Top 10 honors. Students from the School of Information hail from Michigan, all regions of the United States, and countries around the world. They represent more than 100 different undergraduate majors and range in age from early 20s to late 50s. Unlike many schools with a technical focus, the University of Michigan School of Information has achieved gender parity, as women make up 55 percent of our student body. The mission of the school is to “create and share knowledge so that people will use information — with technology — to build a better world.” As a result of hard work by our faculty and staff, UMSI enjoys top national rankings in many academic areas.
Featured Faculty
Paul Resnick
Paul Resnick is the Michael D. Cohen Collegiate Professor of Information, the Associate Dean for Research and Faculty Affairs, and Director of the Center for Social Media Responsibility at UMSI. He received his PhD in computer science from MIT. Paul is a pioneer in the field of recommender systems, and his areas of research include crowdsourcing rumor tracking and fact-correction on the internet, and social media monitoring.
Chris Brooks
Chris Brooks holds a PhD in computer science with a concentration in human-computer interaction and artificial intelligence from the University of Saskatchewan. He is an assistant professor at UMSI and Director of Learning Analytics & Research at the Center for Academic Innovation at the University of Michigan. His research focuses on understanding how learning analytics can be applied to human-computer interaction through educational data mining, machine learning and information visualization.
Eytan Adar
Eytan Adar is an associate professor of Information and Computer Science at the University of Michigan. He earned his PhD in computer science at the University of Washington. His work is at the boundary of HCI and data mining. Specific research projects range from modeling behaviors at a very large-scale and applying those models to constructing better HCI systems.
Yan Chen
Yan Chen is the Daniel Kahneman Collegiate Professor in the School of Information. She also holds an appointment as a research professor with the U-M Institute for Social Research. She holds a PhD from California Institute of Technology in Social Science with a concentration in economics. Her research interests are in behavioral and experimental economics, market and mechanism design, and public economics.
Qiaozhu Mei
Qiaozhu Mei is the founding director of the Master of Applied Data Science program and a professor in the School of Information and the College of Engineering. He received his PhD in computer science from the University of Illinois at Urbana-Champaign. His research focuses on information retrieval and text mining, with applications in web, social media, scientific literature, bioinformatics, and health informatics.
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Have questions?
If you have questions about the application process or eligibility, please email us at umsi.mads@umich.edu.