A professional Master of Information and Data Science (MIDS) delivered online, datascience@berkeley features a multidisciplinary curriculum designed to prepare data science professionals to solve real-world problems using complex and unstructured data. To learn more, request information today.

Course Spotlight: Applied Machine Learning

applied machine learning course graphic

In Applied Machine Learning, you will become proficient in experimental design, machine learning algorithms, network analysis, collaborative filtering, and more. You will also utilize both Python and Github during your coursework. Learn more about our curriculum today.

Student Spotlight: Leanne Bradley

Leanne Bradley headshot

Leanne is a senior data analyst at LinkedIn and holds a B.S. in applied math from the University of Waterloo. She uses data science to build analytics and complex visual reports to inform business decisions. See what Leanne has to say about her datascience@berkeley experience.

The UC Berkeley Online Experience

Through live online classes, dynamic coursework, dedicated student support, and an engaging on-campus immersion, UC Berkeley offers a learning experience unlike any other.
 

Experience datascience@berkeley

Discover datascience@berkeley

View our featured video library to hear students and faculty discuss the datascience@berkeley curriculum, on-campus immersions, online learning experience, and the I School and UC Berkeley community.

datascience@berkeley Is Mobile

course content on mobile devices

The datascience@berkeley mobile app allows you to access your coursework from your phone or tablet — even when you're offline. Learn more about our mobile features.

Upcoming Events

Curriculum Webinar
Thursday, May 19, 12 p.m. PT/ 3 p.m. ET, Online


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