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We are guided by our vision: Together transforming lives for a better digital future, from our community to the world.

Academics

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Our undergraduate curriculum is designed to support the education of students who view computing and information as a means of empowerment.

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Master's Degrees

Our graduate degree programs provide students with the tools to analyze and solve the problems created by technology and to push past technology’s boundaries.

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Doctoral Degrees

Many of the world’s most perplexing issues are advanced by research conducted by our PhD students and their faculty mentors.

Empowerment Through Learning

Explore the computing, library, and information fields through our various academic departments, programs, and initiatives.

SCI Departments and Programs

Innovative Research

As the field of technology is constantly evolving, our research is supported by organizations like the Defense Advanced Research Projects Agency (DARPA), Google, National Institutes of Health (NIH), National Science Foundation (NSF), and more.

Explore Our Research

Transform at SCI

Prepare for your future by networking with like-minded changemakers: participate in workshops, apply for internships, and develop skills to land the job you've envisioned for yourself.

Explore Student Resources

Connect With Us

Alumni and friends of SCI can connect with us at events, support school initiatives, and more.

Alumni and Giving Opportunities

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News

Transforming Trust: The Essential Role of Reliable Evaluations in AI and Language Models

The second talk in the 2025-26 Dean’s Spotlight Series, featuring the University of Michigan’s Dr. Lu Wang, explored how AI tools are evaluated as trustworthy and how they can be improved by future research.

Majority of job hunters turn to AI to help land next gig; SCI faculty member weighs in

Morgan Frank, an assistant professor in the Department of Informatics and Networked Systems at the University of Pittsburgh, said using AI to connect employers and job seekers is not necessarily new.

ISP Student Wins Magna Cum Laude Science Poster Award at RSNA 2025 for Research on Developing Advanced AI Models for Medical Imaging

ISP PhD Student Zhengbo Zhou received the Magna Cum Laude Science Poster Award for his paper “Long Range History of Prior Mammograms for Breast Cancer Risk Prediction” at the 111th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA).

Events

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