The minor consists of five courses (30 ECTS). In period 1 you build a foundation in Digital Humanities, work on your first research project, and learn basic programming in Python. In period 2 you deepen your analytical toolkit with computational text analysis, spatial analysis, and/or data visualisation in R. In period 3 you apply everything you learned in the second project-based course, working in teams on a real-world Digital Humanities and/or Social Data Analytics challenge.
Throughout the minor you learn to structure and analyse digital humanities and social science data, to evaluate methods critically, and to collaborate across disciplines.
Student testimonials
“For the first time I worked with such a big and historical dataset, and used GitHub as a research tool and the fact that I could do it on my own makes me really proud and I feel ready to work on my bachelor project this year where I plan to work with a big dataset and knowledge graphs from ¨AI Curator¨ aspect. And I think that I will definitely implement there and in my future works all the knowledge gained form this course.”
“DH provided a set of diverse tools to take with me for future projects like a new approach to working in (interdisciplinary) groups and decision making in digitization.”
“Thanks to theinterdisciplinary nature of the course, I gained insights into the challanges of the field that covers ethical concerns over algorhitmic biases, transparency of the tools used, with a focus on privacy of the individuals, since we worked on a dataset that involved personal data.”
Take a look at the video produced by the students of the 2026 edition of the Digital Humanities and Social Data Analytics in Practice course, as part of the Digital Humanities and Social Analytic minor. The videos reflect the results of a month long research in practice project on the topic of DH or SA.