Data Science Modules

As UC Berkeley established its Data Science major, interdisciplinary collaborations played a crucial role in both enabling student discovery of the field and integrating data science skills across various disciplines.

Data science modules are concise explorations that allow students to engage hands-on with relevant data sets and receive instruction on data analysis, statistics, and computing principles.

The Data Science module development team supported the design and incorporation of modules into UC Berkeley courses spanning a wide range of disciplines, from biology to legal studies to sports.

These modules continue to be taught in Berkeley courses today, and our library is available to educational partners interested in adopting this model at their own institutions.

What does a module look like? 

Modules vary significantly and are tailored to each instructor’s goals and the nature of the course. They might consist of one or two lectures on interpreting data and statistics in news media, or they could be an extensive, multi-session research workshop focused on data-driven projects.Modules may also include a brief introduction to programming. 

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