November 13, 2018
November 1, 2018
Today, UC Berkeley announced the next stage in its realization of the research university for the 21st Century – serving a connected world, recognizing the profoundly integrative character of the frontiers of knowledge, and using unprecedented observational and computational capabilities to make a positive difference in that world.
October 25, 2018
This month’s issue of Nature includes a spotlight on Translational Data Science, co-authored by the Division of Data Sciences Interim Dean David Culler, West Big Data Innovation Hub Executive Director Meredith Lee, and colleagues.
October 23, 2018
After taking Data 8 as a freshman, Subhiksha Mani discovered the potential of data science to drive discovery. Now a senior, she plans to major in Data Science with a domain emphasis in Cognition. Subhiksha shares her thoughts about the growth of data science at Berkeley, her internship at YouTube, and the upside of uncertainty.
This interview was condensed and edited for clarity.
October 17, 2018
An innovative collider space on the first floor of Moffitt Library is now available for students interested in data science. The beta version of the future Center for Connected Learning provides data science peer advising and consulting through a collaboration between UC Berkeley Library and the Division of Data Sciences, and maker workspaces provided by b.Makerspace, which offers 3-D printing and a VR headset area.
October 9, 2018
With 780 students filing pre-declarations as soon as they became available earlier this fall, UC Berkeley’s new Data Science major is on the way to quickly becoming one of the most popular on campus. Advisors are busy helping seniors and juniors declare, and soon will move on to others who are eager to add the Data Science major.
September 24, 2018
Check out GeekWire's feature on some of the latest developments from the fascinating Berkeley SETI Research Center.
September 20, 2018
Now that the Fall term has begun to settle down, I would like to share a snapshot of the activities in and around the Division of Data Sciences reflecting the connectedness of research, learning, and community at Berkeley.
September 17, 2018
“Data to knowledge to action.”
This pipeline to social impact in data science was among the interesting perspectives that Tom Kalil shared in a “Waterside Chat” at a recent California Water Data Hackathon. Sponsored by the Division of Data Sciences and Berkeley Institute for Data Science (BIDS), the hackathon was part of the California Safe Drinking Water Data Challenge, an effort to leverage data to find innovative ways to increase community access to safe drinking water.
September 10, 2018
Knowledge to Action Pipeine
UC Berkeley is launching a new form of collaboration that links students, government, community, and business partners to leverage data to help address complex social problems, from access to safe drinking water to disaster recovery to affordable housing.
August 18, 2018
The Global Metropolitan Studies Program and the Division of Data Science are pleased to sponsor a workshop on a platform for collecting and analyzing human travel data.
August 7, 2018
July 26, 2018
June 18, 2018
May 9, 2018
May 2, 2018
A new tool on the block is rapidly shifting the future of how computing is taught in institutions, and UC Berkeley developers and professors are pioneering its integration into an increasing number of campus classrooms. Since first entering a single Berkeley classroom in 2015, the JupyterHub platform for UC Berkeley, called DataHub, is now being used by over 20 classes offered on campus. Thanks to this new platform, more students can find that the power to integrate computing into their education is easily at their fingertips.
April 17, 2018
Dear campus community,
We are writing with updates on Berkeley’s active engagement with the burgeoning and exciting field of data science, which has the potential to shape numerous fields of study and practice.
April 16, 2018
Looking for an on ramp to get started with data science which, according to LinkedIn, is one of the fastest growing job areas in the country?
April 13, 2018
The Library is provide leadership and peer support in the data sciences to undergraduates conducting research in an area such as data visualization, machine learning, text analysis, regression modeling, or other data science methods. Below are all the three data science related fellowship opportunties:
April 11, 2018
April 9, 2018
Foundations of Data Science (STAT C8) will be available during the summer session! Foundations of Data Science, or Data 8, is Berkeley's innovative introduction to core concepts of programming and statistics. Get hands-on experience working with data while exploring real-world issues ranging from racial profiling to social networks to California water usage.
The course satisfies the L&S Quantitative Reasoning requirement and the statistics requirement in most majors that require statistics.
Session: Session C (June 18 - Aug 10)
April 4, 2018
Berkeley’s undergraduate Data Science programs include a requirement for students to learn about the human, social, and ethical contexts in which data analytics and computational inference play a central role.
Human Contexts and Ethics (HCE) classes can be taught by instructors in different areas:
Instructors who address contextual and ethical issues directly in the many domain areas where data science is put to work
In this one-day workshop, graduate students will learn about the pedagogy of the Data Science Education Program. This workshop will cover some of the computational and statistical concepts that students learn in the Foundations of Data Science class (Data 8) and Principles and Techniques of Data Science (Data 100), as well as an overview of the Connector courses and Modules. It will also give experience using a cloud based computing environment. Graduate students can use these skills to improve teaching, to imagine new types of teaching, and learn what resources are available.
March 23, 2018
This opinion piece has been contributed by Lucy C. Erickson, Natalie Evans Harris and Meredith M. Lee, three members of the D4GX community. All three authors contributed equally to this piece.
March 21, 2018
Students and campus student organizations no longer have to search far to find resources, space and a community to answer all of their data science questions. Data Science Nexus is a new program designed to help unite students interested in data science from all across campus. The program, housed on the first floor of Moffitt Library, is a collaborative program between Moffitt Library, the Division of Data Science, and UC Berkeley data science student clubs.
March 14, 2018
March 9, 2018
March 19th 6 - 7:30 PM
Hearst Field Annex B
Registration Link: https://www.tinyurl.com/dscareertalk
The Division of Data Sciences, in partnership with Data Science Society at Berkeley, is proud to launch the first in our series of Data Science Info Sessions.
March 6, 2018
Wednesday, April 11, 2018
4:00 pm - 7:15 pm
California Memorial Stadium, Field Club
See where the cloud can take you at Microsoft’s Azure University Tour, a free learning event for student developers, faculty, and staff where you'll code alongside industry experts, boost your cloud development skills, and test cutting-edge technology.
Check out some of the content we'll be featuring at the event:
February 27, 2018
Photo: Ion Stoica
February 20, 2018
Today, data ties together many pieces of our professional, academic, and everyday lives. This interdisciplinary approach to data science is the cornerstone of the Data Science Modules Program, a collaborative effort between the Division of Data Sciences and D-Lab, which allows faculty across campus to explore unprecedented ways to incorporate data science into their classes.
February 9, 2018
The “backbone” courses within UC Berkeley’s Data Science Education Program continue to draw unprecedented numbers of students, as the Foundations of Data Science (Data 8) and Principles and Techniques of Data Science (Data 100) reached record enrollments in Spring 2018. These courses draw students from over 70 majors on campus, welcoming anyone with or without programming experience, and giving them the tools to apply data science throughout their life.
February 6, 2018
The Berkeley Distinguished Lectures in Data Science, co-hosted by the Berkeley Institute for Data Science (BIDS) and the Berkeley Division of Data Sciences, return this month for the Spring 2018 series. Upcoming lectures feature UC Berkeley faculty doing visionary research that illustrates the character of the ongoing data, computational, inferential revolution.
January 29, 2018
January 24, 2018
UC Berkeley and edX just announced that the extremely popular Berkeley course Data 8: Foundations of Data Science(link is external) will be available online starting on April 2nd, as a Foundations of Data Science Professional Certificate Program(link is external).
January 18, 2018
In Fall 2017, the Data Science Discovery Program gave 50 Berkeley undergraduates the chance to deepen their learning in more than a dozen data science projects across a fabulously wide set of domains. Data science skills let students discover new knowledge and create solutions across a broad range of areas. The Data Science Discovery Program allows them to explore their interests and build their own pathways from Berkeley’s data science classes directly into hands-on research.
December 1, 2017
The Library, the Division of Data Sciences, BIDS, and the Data Science Nexus student clubs welcomes you the Fall 2017 Data Science Showcase on December 7th at Moffitt Library, Room 405 from 11 to 5PM. Over 150 data science projects from Data 8, Division of Data Sciences student teams, BIDS Discovery Projects, and various Data Science Nexus student clubs like Machine Learning at Berkeley will be presented.
Location: Moffitt Library 405
Time: 11-5 PM
October 27, 2017
On Thursday, November 2nd, 2017, the Interim Dean of the Division of Data Sciences will present an overview of the upcoming Data Science major along with other opportunties available to student in Berkeley's fast growing data science ecosystem.
October 20, 2017
This is a republication from the original post from: https://www.facebook.com/theNASciences/photos/a.395922850548784.1073741831.381954325278970/1141779482629780
Photo: Professor Bin Yu
October 19, 2017
Foundations of Data Analysis (FODA) Institute PIs: Michael Mahoney, Bin Yu, Fernando Perez, Michael Jordan, Dick Karp
October 17, 2017
October 12, 2017
August 24, 2017
The Berkeley Division of Data Sciences and the Berkeley Institute for Data Science (BIDS) are proud to announce the Berkeley Distinguished Lectures in Data Science. This series features faculty doing visionary research that illustrates the character of the ongoing data, computational, inferential revolution. In this inaugural Fall 2017 "local edition" we bring together Berkeley faculty working in these areas here on our own campus.
June 15, 2017
In June, more than 30 faculty and instructors across a range of disciplines – from English to Sociology to Neuroscience to Physics – took a week out of their summer to explore how to incorporate tools developed for data science into their own teaching.
June 1, 2017
Jupyter Notebooks powering Berkeley’s data science curriculum
May 26, 2017
Professor of Electrical Engineering and Computer Sciences David Culler has been named as Interim Dean for the newly created Division of Data Sciences. He will begin his new role on July 1, 2017. Please see below for the full announcement, which was sent to the campus community on May 26 by Interim Executive Vice Chancellor and Provost Carol Christ.
May 9, 2017
Professor David Culler made a presentation on April 26 at Microsoft about Berkeley's Data Science Education Program.
May 4, 2017
The Data Science Education Program and its faculty lead Professor Cathryn Carson have received the Berkeley Collegium Award for Excellence in Undergraduate Education. See below for the full campus announcement from Serena Chen, Faculty Director of the Berkeley Collegium.
May 1, 2017
The Data Science Education Program (http://data.berkeley.edu/education) has three near-term opportunities to support instructors in learning and incorporating data science approaches. We are offering an early summer workshop, connector course development resources, and course module development support. Please let us know about your interests and needs!
April 28, 2017
On April 22nd, UC Berkeley threw open its doors for its campus-wide open house, Cal Day, which each year attracts thousands of current and prospective students, their families, as well as members of the community. And for the first time, the Berkeley Data Science Education Program and the Berkeley Institute for Data Science (BIDS) were part of it.
April 17, 2017
Instructors at UC Berkeley are invited to a free June workshop where they can learn pedagogical methods and technical tools for data science, and get help integrating them into their own teaching. This workshop will cover how students in the Foundations of Data Science class (Data 8) have been introduced to computational and statistical concepts through hands-on analysis of real-world data, and it will support instructors from all disciplines in exploring how to teach courses that can connect with and enrich this approach.
April 14, 2017
For the first time, Foundations of Data Science (CS/INFO/STAT C8) will be available during the summer session. Foundations of Data Science, or Data 8, is Berkeley's innovative introduction to core concepts of programming and statistics. Get hands-on experience working with data while exploring real-world issues ranging from racial profiling to social networks to California water usage.
April 10, 2017
Instructors interested in learning how to incorporate data science into their courses are invited to come to the Teaching and Research Resource Fair at the Academic Innovation Studio on Tuesday, April 18. The event is open to all faculty, researchers, and graduate students, and is designed to connect instructors with campus resources to improve or refresh their teaching and research.
March 28, 2017
The ability to integrate, analyze, and archive mammoth amounts of data has become a mainstay for cutting-edge research and teaching across many academic disciplines. As data science takes root, the D-Lab has emerged as a nexus for the support that the campus’ faculty and researchers need to take advantage of the latest methodologies.
March 20, 2017
Seated in small groups with their laptops, students from lecturer Victoria Robinson’s introductory Ethnic Studies course are talking excitedly while poring over data from private immigration detention centers across California. Their work together is part of a data-centric project they will present at the end of the term.
March 13, 2017
The Data Science Education Program was featured in the Wall Street Journal in an article about data science on March 13, 2017.
March 10, 2017
March 10, 2017
A new blog post and video from the Microsoft Research team showcase the Data Science Education Program at Berkeley.
February 17, 2017
If you're interested in learning data science, a great place to start is with Foundations of Data Science, Berkeley's introductory data science course for students from all majors. Whether or not you're a student at Berkeley, you can access the resources created for this innovative course.
February 14, 2017
January 27, 2017
The growing power and applicability of data science has helped to make the field a juggernaut in both industry and academia. To help prepare students of many different interests for a data-rich world, Prof. David E. Culler, former Chair of the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, has been working with his colleagues there to build a new and broad data science education curriculum.
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
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:
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
The 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
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
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.
In 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
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
About the Short Course
March 14, 2016
March 1, 2016
An op-ed from UC Berkeley Chancellor Nicholas Dirks in the Daily Californian student newspaper.
November 11, 2015
The following email message was sent to campus faculty on Nov. 11, 2015 by Chancellor Nicholas Dirks and Executive Vice Chancellor and Provost Claude Steele.