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Department of Information Science

Information science studies how people create, share, and use data and technology. Our faculty and students build and study the systems people encounter every day: social media platforms, AI & recommender systems, data visualizations, crisis-response tools. We uncover how these systems shape people's lives, ask whom they serve and whom they leave out, and design how they could work differently. Students combine hands-on skills in design, programming, and data analysis with social-science methods for understanding people, and they graduate able to build a system, deploy it with real users, and evaluate whether it works.

“Where designing technology means understanding people.”

Find your path

Prospective undergraduates

Major in information science, or add one of our minors to another major.

• BS in Information Science
• Minor in Information Science
• Minor in Data Science
• Why study information science?
• How to apply as a��first-year �ǰ���transfer applicant, or as a��current Ģ��Ӱ�� student (IUT)

Prospective graduate students

Join a research community of faculty-led labs working in human-computer interaction, data science, and social computing.

• PhD in Information Science (applications due December 1)
• MS in Information Science (applications due February 5)
• Bachelor's–Accelerated Master's (for current Ģ��Ӱ�� undergraduates)
• Identify a potential advisor before applying, starting from our��research labs ���Ի���faculty directory

Current students

Get advising, join the community, and show your work.

• Undergraduate advising ���Ի���graduate student help
• INFO Buffs club and the��INFO Graduate Student Association
• INFO Showcase, where students present projects each semester
• Career support

Researchers and visitors

See what the department is working on.

• Research labs
• Faculty & staff directory

Our community

The department is part of the College of Communication, Media, Design and Information and leads the college's Center for Race, Media and Technology. Department labs study accessibility, fairness in recommender systems, technology ethics, and exclusion in computing, and the department's teaching and hiring follow the college's inclusive excellence commitments.