Data Science Academic Resource Kit

For UC Berkeley Instructors

The Division of Data Sciences's Academic Resource Kit (ARK) for Instructors seeks to give instructors the ability to create and deploy educational materials in a variety of classes.  The Division supports instructors in learning and incorporating data science approaches and teaching tools. We offer periodic workshops,   summer trainings, and resources for course development. 

Program Overview

Building from the freshman level, the Division of Data Sciences supports an open, interdisciplinary curriculum that stretches across campus and provides a foundation for Berkeley undergraduates of all majors to engage capably and critically with data. The Foundations of Data Science class (Data 8) is currently serving over 4,000 students per year across over 70 majors and fulfills statistics requirements in 90 percent of the majors that have one. More than 30 entry-level “connector” courses have been created by instructors in disciplines from humanities to engineering.  Over 40 classes have deployed Data Science Modules adapted to enrich existingn classes.  Instructors in many departments are now developing advanced courses in order to serve their existing majors, and to integrate with the major offered through the Division of Data Sciences.

Workshops & Resources

The Division offers a variety of opportunities to support instructors in learning and incorporating data science approaches, including workshops and programs to help develop course resources.

More information about workshops offered: https://data.berkeley.edu/news/data-science-education-opportunities

Continuing Opportunities

Data Science Modules - Request Development Support

Data science modules are short explorations that give students the opportunity to work hands-on with a dataset relevant to your course and receive instruction on the principles of data analysis, statistics, and computing. Modules vary widely and are customized based on each instructor’s objectives and the type of course, ranging in length from one to two lectures to multiple-session workshops culminating in a data-centered project. The Data Science Education Program provides assistance to instructors interested in adding data science modules to their existing classes, through student developer teams that partner closely with you to develop materials.  A recent article and video explain how modules are currently being deployed.

For more information visit: https://data.berkeley.edu/education/courses/modules

Module Support Request Form: https://goo.gl/zRxVm7

Proposals for Data Science Connector Courses (Fall or Spring)

Students in Data 8 learn computational and statistical concepts from a variety of examples spanning a broad range of disciplines. Connector courses (2, 3, or 4 units, often numbered 88) are designed to build on students’ analytical knowledge from Data 8 in connection to their own interests in a specific field. Connectors can be housed in a department, cross-listed in multiple programs, or piloted as a L&S course. The Data Science Education Program seeks to broaden the suite of connector offerings available to students and increase the potential to integrate data science into existing curricula. DSEP is able to provide a range of technical, pedagogical, financial, and community-building support to you in piloting a course, as well as computer lab space and lab assistants.

For more information visit: https://data.berkeley.edu/education/connectors

Connector interest form: https://goo.gl/s9EkN4

Contact us

If you have questions about the Data Science Education Program in the Division of Data Sciences, feel free to contact us:
Cathryn Carson (clcarson@berkeley.edu), DSEP Faculty Lead

Karen Chapple (chapple@berkeley.edu), DSEP Senior Faculty Advisor

Eric Van Dusen (ericvd@berkeley.edu), DSEP Curriculum Coordinator 

David Culler (culler@berkeley.edu), Interim Dean, Division of Data Sciences

For Instructors in Partner Institutions

UC Berkeley welcomes inquiries about how to design and implement a broad-based data science program. Below please find resources for further exploration into our undergraduate data science curriculum. 

Please fill out this interest form(link is external) so that we can direct you to the resources you need.