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.
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.
How will the government address cybersecurity or privacy legislation? Will net-neutrality be reversed? Our all-star panel weighs in on what technology policy can we expect in 2017.
Learn the fundamentals of machine learning, deep learning & artificial intelligence focused on newly optimized frameworks for Intel Architecture like Neon, Caffe, and Theano from professional and academic experts.
Library and bibliographical practices for discovery and access are based on now-obsolete assumptions that pre-date digital networks. So we need to go back to basics and build more useful designs based on contemporary assumptions.
Graduating MIDS students present their data science projects. A panel of judges will select two outstanding projects for the Hal R. Varian MIDS Capstone Award.