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.
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.
Learn more about the UC Berkeley Cybersecurity Clinic (INFO/CYBER 289), a public-interest cybersecurity course that supports the capacity of politically-targeted organizations to defend themselves against online threats.
The Friday afternoon Information Access Seminar is retiring after 69 consecutive semesters. Michael Buckland looks back over thirty-five years of the seminar.
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.
Jeff MacKie-Mason is the university librarian and co-chair of UC’s publisher negotiations team, which carried out the recent negotiations with Elsevier.
When algorithms are used for predicting recidivism, do they make the criminal justice system more fair and accurate, or do they perpetuate racial bias?
A one-day technical conference bringing together data scientists and professionals from around the globe to discuss the latest research and applications of data science.
The One Laptop per Child project failed. So why do the same utopian visions that inspired it still motivate other projects to “disrupt” education and development?