UC Berkeley School of Information
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| Type | Public Professional School |
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| Established | 1994 |
| Dean | AnnaLee Saxenian |
| Location | Berkeley, California, U.S. |
| Website | www |
Coordinates: 37°52′16.77″N 122°15′30.71″W / 37.8713250°N 122.2585306°W
The UC Berkeley School of Information or the I School is a graduate school offering three degree programs: a professional master's degree in information management (MIMS), a professional master's degree in data science (MIDS), and an academic doctoral degree. Created in 1994, the I School is UC Berkeley's newest school. It was previously known as the School of Information Management and Systems (SIMS) until 2006. Its roots trace back to UC Berkeley's School of Librarianship founded in the 1920s. The program is located in UC Berkeley's South Hall, near Sather Tower in the center of the UC Berkeley campus.
The Master of Information Management & Systems (MIMS) program is a 48 unit, two-year program designed to train students for careers as information professionals. Students who complete the program are awarded the Masters of Information Management and Systems (MIMS) degree. During the first year MIMS students take required courses in Information Organization and Retrieval, Distributed Computing Applications and Infrastructure, Social and Organizational Issues of Information, and Information Law and Policy. During the second year students may choose from elective courses both at the I School and in other departments. The final prerequisite for the MIMS degree is the completing of a group or individual thesis project.
The Master of Information and Data Science (MIDS) program is an innovative part-time fully online program that trains data-savvy professionals and managers. Working with data at scale requires distinctive new skills and tools. The MIDS program is distinguished by its disciplinary breadth; unlike other programs that focus on advanced mathematics and modeling alone, the MIDS degree provides students insights from social science and policy research, as well as statistics, computer science and engineering.
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