February Feature: National Workshop for Data Science Education
We're gearing up for the 2025 National Workshop for Data Science Education (NWDSE)!
This annual, multi-day event series offers opportunities to learn about data science education and meet fellow educators involved in shaping the discipline at the undergraduate level. (Free for attendees)
Data Science Undergraduate Studies and Puente partner to inspire underrepresented students in STEM
This summer, we partnered with the Puente MaS program to introduce CA community college students underrepresented in STEM to the field of data science. Through student narratives, a career professional's advice, and information from our Data Science Undergraduate Studies team, the students discovered pathways into a major many had never heard of.
UC Berkeley convenes, connects California data science education pioneers
Dozens of California public educators walked into a sunlight streaked, first floor-room at the edge of UC Berkeley in late June. Hugging each other and snagging coffee or water, they navigated blue and gold star-shaped balloons to settle at tables facing a projector screen.
These scholars are part of a state effort to make California the nation’s leader in excellent, equitable and accessible undergraduate data science education. For the next two days, the assembled attendees would share how they’re building programming, community or pathways to do just that...
About our educational partnerships
UC Berkeley's Data Science Undergraduate Studies is dedicated to making high-quality data science education accessible beyond Berkeley. Through partnerships with other institutions, we strive to broaden access and impact.
Our approach to data science education:
- Empowers student discovery. Through our approachable foundations course and by developing curricula add-ons for other disciplines, we seed opportunities for students to discover this burgeoning field.
- Bridges disciplines. We view data science as an interdisciplinary field with applications spanning from the sciences to the humanities and we promote connections across these diverse areas.
- Integrates human contexts and ethics. Our curricula incorporates human contexts and ethical considerations, equipping students to make responsible and impactful decisions in their careers.
Bring Data Science Education to Your School
Resources for adopting classes and building curricula
Our Current Educational Partnerships
Learn more about our current partnership projects
Community
Events and opportunities to learn from other educators
Media
Empowering Community College Students Through Data Science (feat. Nathalie Guebels)
“A lot of times, you think as a young woman, well, I want to do something where I can care for the world, where I can make a difference in the world to make it better. Women often don't relate that to computer programming. And so that's where data science comes in and tells a story, where it combines not just the computational skills, but the statistical skills. But then there's also a requirement of having domain expertise. And that domain expertise, that can be anything. It can be healthcare. It could be climate change. It could be whatever field you want to enter. And so it's easier to relate that to caring for people or caring or having an impact in the world.”
—Nathalie Guebels, Assistant Professor of Computer Science at Santa Barbara City College (SBCC)
Listen on Spotify or Apple Podcasts
Navigating the Data Revolution: Insights from ADSA Founder Micaela Parker
“If you're worried that the AI hype is subsuming data science, remember: you can't have AI without data—data science isn’t going anywhere.”
—Michaela Parker, founder and executive director of Academic Data Science Alliance (ADSA)
Listen on Spotify or Apple Podcasts
Student-Led Innovation: Alumni Stories of Building Berkeley’s Data Science Program (feat. Alan Liang, Vinitra Swamy, Gunjan Baid)
“I would recommend double majoring with a different degree, because I think while data science by itself is a very, very useful and versatile degree, I think being able to apply it to a particular domain overall makes you a better statistician, or economist, or historian, right?”
—Alan Liang
Listen on Spotify or Apple Podcasts