The Cambridge Data School is an intensive educational and practical journey that immerses students in the world of Data and Digital Humanities to help them boost their skills and careers.

Since the first Cambridge Data School in 2019, our schools have expanded year upon year. We have now conducted nine Data Schools in two forms —  the Cultural Heritage Data School, aimed at people working in GLAM institutions, and the Social Data School, aimed at journalists and organisations doing investigations in the public interest.

During the pandemic, like many other educational institutions, we had to move our Data Schools online. However, this had the unexpected benefit of widening participation, allowing many more people to access our learning globally. With that in mind and the pandemic subsiding, in 2022 we decided to expand our Data School programme to four schools a year: two online and two in-person. You can read more about that decision here.

In January 2023, we hosted the Social Data School online and this April we have just completed our first, in-person Data School since before the pandemic – the short Cultural Heritage Data School – which went exceptionally well.

Our next Data School is the in-person, week-long Social Data School in June. If you are interested in applying, our expert course-convenors are hosting a Q&A on May 4th, 2pm on Zoom.  A recording will also be made available after the event.

  • Social Data School: 26 – 30 June 2023, Cambridge, UK.

But what are the benefits of a Data School?

Participants come to our Data Schools seeking to boost their skills and careers, but we often find they come away with a lot more: having made new friends, expanded their network, and leaving with a newfound inspiration for the potentialities of their own digital work and practice.  Hear from past participants how they found the school and what some of their best bits were in these videos from our recent, online schools.

  • Posted 24 Apr 2023

Cambridge Digital Humanities

Tel: +44 1223 766886
Email enquiries@crassh.cam.ac.uk