The Berkeley School of Information is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions.
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.
A two-day conference examining the field of new media and celebrating the work of BCNM alumni in computer vision, human-computer interaction, algorithms, race and popular media, urban space, and new media art.
Speaker danah boyd looks behind the scenes at the data required to power today’s AI models, exploring the ecology that has emerged to gobble up data produced for other purposes and contexts.
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.
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.