The School of Information is UC Berkeley’s newest professional school. Located in the center of campus, the I School is a graduate research and education community committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy.
The Master of Information and Data Science (MIDS) is an online degree preparing data science professionals to solve real-world problems. The 5th Year MIDS program is a streamlined path to a MIDS degree for Cal undergraduates.
The School of Information's courses bridge the disciplines of information and computer science, design, social sciences, management, law, and policy. We welcome interest in our graduate-level Information classes from current UC Berkeley graduate and undergraduate students and community members. More information about signing up for classes.
I School graduate students and alumni have expertise in data science, user experience design & research, product management, engineering, information policy, cybersecurity, and more — learn more about hiring I School students and alumni.
Timothy Tangherlini uses a computational folkloristic approach to analyze conversations on the social media platform Parler leading up to the January 6th attack on the Capitol.
The Citizen Clinic (INFO/CYBER 289) is a public-interest cybersecurity course that supports the capacity of politically-targeted organizations to defend themselves against online threats. Join us to learn more.
Can we combine data from satellites, mobile phones, and financial services providers with machine learning to identify the neediest people and better target humanitarian aid?
Graduating MIDS students present their data science projects. A panel of judges will select an outstanding project for the Hal R. Varian MIDS Capstone Award.
Graduating MIMS students present their intriguing research projects and innovative new information systems. A panel of judges will select outstanding projects for the James R. Chen Award.
Graduating MICS students present their cybersecurity projects. A panel of judges will select an outstanding project for the Lily L. Chang MICS Capstone Award.
Machine learning and natural language processing provide a framework for extracting meaning from text — but what can they tell us about the people in those texts?
“Your data will only be used in aggregated form.” — what does this statement mean, and why is it so often included in privacy policies? And does this practice actually protect your privacy?
Projects use brainwave, heart rate, body movement, and other bio-sensing technologies for affective computing, context-aware security, e-commerce, neuro-marketing, privacy, quantified self, sentiment analysis, user interfaces, and more.
Try out students’ interactive inventions: whimsical and improbable devices designed to teach, solve problems, provoke thought, or create fun. (Exhibition repeats Dec. 10.)