November Feature: Cal-ICOR
UC Berkeley experts received a $1.5 million grant from the California Education Learning Lab (Learning Lab) to launch a first-of-its-kind computing technology hub for the state’s public colleges and universities.
The hub will provide access to students across the state to course materials built on the JupyterHub platform, a cloud-based, open-source system widely used in scientific and industrial workplaces. It will be staffed and run by Berkeley for several California higher education institutions, saving money, aligning curricula and facilitating transfer pathways for STEM students.
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
From Law to Data Science: Camilo Andrés De la Cruz Arboleda’s Journey into Tech Education
Episode in Spanish
“Entonces lo que yo procuro hacer con los estudiantes que son de áreas como de humanidades o ciencias sociales, es asociarlo como a situaciones cotidianas, haciendo analogías o buscando ejemplos de cosas que cualquiera ha experimentado. Eh como que se desarrolle esa intuición y ya después pues lo lo le ponemos como él la forma de de la sintaxis y ya el lenguaje específico que usemos.”
Listen on Spotify or Apple Podcasts
Data Science in Two-Year Colleges: From Curriculum Design to Industry Collaboration (feat. Crystal Wiggins)
“I literally collected 150 jobs on Indeed.com and parsed out all of the skills that were mentioned in all the jobs, created a graphic and said, Okay, here's the courses we already have that have these skills, and here's the skills I need to create courses for.”
Listen on Spotify or Apple Podcasts
From Software to Academia: Langdon White’s Mission for Inclusive Data Science
“I developed a class called DS 100, which is in a lot of ways very similar [to Data 8], with the primary objective being, I want people to walk away from the class with saying I understand what data science is. I can do a little bit of programming, and now it's up to me whether I think it's interesting or not. I don't want anyone ever to feel like they can't do it. It's just whether or not they enjoy doing it.”
Listen on Spotify or Apple Podcasts