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.
In 1918, UC Berkeley began a full-time program in library science. Join us to celebrate the 105th birthday and history of the I School, SIMS, SLIS, and School of Librarianship.
Cybersecurity Futures 2030 is a foresight-focused scenario-planning exercise considering how cybersecurity is set to transform over the next five to seven years.
Graduating MICS students present their cybersecurity projects. A panel of judges will select an outstanding project for the Lily L. Chang MICS Capstone Award.
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.
The YouTube Effect, a documentary by Alex Winter, takes viewers on a timely and gripping journey inside the cloistered world of YouTube and parent Google.
Librarians’ traditional distinction between “known item” search and “subject” search leads to theoretical clarification of the nature of catalogs, of metadata, and of search.
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 MICS students present their cybersecurity projects. A panel of judges will select an outstanding project for the Lily L. Chang MICS Capstone Award.
Graduating master’s 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.
Cornelia Ilin gives a high-level introduction to the transformer model architecture, using bidirectional representations from transformers (BERT) on electronic medical health records to predict pediatric patients’ diagnosis codes.
The creator of open-source projects FinRL, ElegantRL, and FinGPT outlines the deep learning revolution and his experiences applying it to the challenging domain of the financial market.
Funding for academic research libraries nationally and internationally has been declining for at least two decades. Jeffrey K. MacKie-Mason presents critical choices facing research libraries.