January 10, 2017

The University of California, Berkeley, invites nominations and applications for the full-time position of Interim Dean of the newly created Division of Data Science. The term of office commences upon appointment, which may be as early as February 15, 2017. The end date may depend on the appointment of a permanent Dean, but will occur no later than June 30, 2018. This is an internal search restricted to those who have attained the rank of Professor at UC Berkeley.

UC Berkeley’s Data Science education program reached new heights in 2016 and is poised for further growth in 2017. Approximately 500 students enrolled in the entry-level course, Foundations of Data Science, and hundreds more in connector courses spanning topics ranging from neuroscience to media studies. Below are highlights from a semester that helped establish a model for refining and extending the curriculum to a broader spectrum of students and adding advanced classes in coming semesters.

December 23, 2016

December 20, 2016

data science division announced

On December 20th, 2016, Chancellor Nicholas Dirks, Interim Executive Vice Chancellor and Provost Carol Christ, and Vice Chancellor for Research Paul Alivisatos announced the establishment of the Division of Data Sciences.

The following message was sent to campus faculty:

Dear Colleagues: 

December 7, 2016

December 7, 2016

As 2016 draws to a close, a report on the first year of Berkeley's Data Science Education Program has been released as part of the campus' ongoing efforts to integrate data science into the undergraduate curriculum and extend the program to larger populations of students in the future.

December 6, 2016

DS100The pilot offering of Berkeley’s new intermediate-level data science course, “Principles and Techniques of Data Science,” is now open for students to sign up.

November 15, 2016

The Daily Californian

An op-ed by a UC Berkeley student arguing for the need for the campus' investment in data science education.

November 2, 2016

Berkeley’s data science offerings continue to grow this spring, with a variety of new courses available in departments across the campus. In addition to the courses listed below, an additional set of courses is still under development. Note that the information below is subject to change; please check back often for updates.

October 31, 2016

Probability for Data Science (Stat 140)
Instructor: Professor Ani Adhikari, Statistics


October 25, 2016

Monsoon flooding imageIn spring 2017, UC Berkeley data science students will have an opportunity to take a new project-based, interdisciplinary course focused on the role that hydrology plays in malaria transmission.  Using data from sub-Saharan Africa, students will collaborate with each other and partners at a nonprofit organization to improve the hydrologic component of a model being used in efforts t

Luis Macias

This fall the Data Science Initiative and the D-Lab partnered with student organizers to initiate the Data Scholars program, a community providing a welcoming environment and support resources to underrepresented students taking Foundations of Data Science (Data 8), Berkeley’s lower-division course for students of all intended majors.

October 7, 2016

This fall, more than 500 students are taking Foundations of Data Science, Berkeley's lower-division data science course for students of all majors. A survey was completed in September by nearly all of the enrolled students in the Fall course (504 out of 517), taught this fall by Professor Ani Adhikari of Statistics. Below is a snapshot of the students enrolled in the course this fall.

September 29, 2016

A team of Berkeley faculty have been awarded a $150,000 Google grant and $30,000 of in-kind credits to further develop the computing environment used in Foundations of Data Science, Berkeley’s pioneering course for lower-division students of all majors.

September 9, 2016

This spring, Berkeley’s growing Data Science curriculum will take another step forward, with the introduction of a new lower-division course that allows students of all majors to learn relatively advanced statistical methods without the need for extensive prerequisites. 

August 31, 2016

Students interested in data science at Berkeley are invited to join us for the Fall's first Data Science Social hosted by data science student groups like the Data Society Society, Undergraduate Statistics Association, ML@B, Diversatech, Haas Data Science Club, and more.

Time: Thursday at 6 PM - 8 PM 

Location: BIDS 190 Doe Library 

August 29, 2016

Undergraduate students interested in data science have a unique opportunity to apply the skills learned in class to hands-on research projects led by UC Berkeley faculty.

The Undergraduate Research Apprentice Program (URAP) is the perfect way to get involved in Berkeley’s world-renowned research and develop more advanced skills. URAP is one of the signature programs of a Berkeley education. Students can also earn 1 unit of academic credit for every three hours of research work (limit of 4 units per term).

Students enrolled in Foundations of Data Science (CS / Info / Statistics C8) or connector courses at Berkeley can now borrow laptop computers from the Library for the entire semester. The loan program, which began at the start of the Fall 2016 semester, is designed to support students who do not have adequate portable computing of their own. It is sponsored by the Data Science Planning Initiative with generous support from Intel and individual donors.

August 11, 2016

To help students navigate an increasingly data-filled world, this fall Berkeley is ramping up its burgeoning Data Science education program, with over a thousand undergraduates from a wide range of intended majors slated to take part in the interdisciplinary curriculum this year.

The program offers a foundation for all students to engage capably and critically with data, and creates pathways to advanced-level work.

July 25, 2016

UC Berkeley’s burgeoning data science curriculum was one of the topics discussed at this year’s Microsoft Faculty Summit, held July 13-15 in Redmond, Washington. The event included more than 500 top academic and research scientists, with prominent speakers such as Microsoft founder Bill Gates and Microsoft CEO Satya Nadella.

June 21, 2016