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Data and Society

We live in a datafied and digitised society. Modern day technologies have irreversibly changed the way we communicate, work, consume, and spend our leisure time. Processes of datafication and digitisation have a large impact on our society and have opened up new possibilities. Being a critical citizen in the 21st century thus requires a fair extent of digital literacy. It is, furthermore, crucial to assume a critical stance toward the digitisation of culture and society. There is an increasing demand for people who can bridge the gap between technology and the humanities; people who can ascribe meaning to collections of data and who can carefully handle moral and ethical dilemmas. In order to understand these assets of our present-day society, you will deepen your knowledge about the intersection of technology and society.

In this minor, you will learn which tools for digital data analysis are available in your field. You will also learn how to critically reflect on ways to use these tools. Which knowledge can and can't they help you acquire? How do you deal with your own prejudices when interpreting digital data? Which social changes can we expect from the digitisation of our societyHow do you deal with ethical issues, such as privacy?

This minor requires no prior knowledge of data analysis or programming.

Key questions: Big data: can we use large data sets and their collection to achieve values, generate insights and find answers? Which social changes can we expect from these technological changes and how will they influence our well-being?
Coordinator: Dr. Roel Smeets (roel.smeets@ru.nl)


Fixed components

Code Course Period Number of EC
LET-LETMI-TH06 Theme course: Data and Society 1 5
LET-LETMI-RF06 Data and Society: Academia and Society 2 5
LET-LETMI-DT06 Think tank: Data and Society 3&4 10

Read more about the think tank, an individual internship at a company or organisation and a research internship.


Electives (20 EC)

In addition to the fixed components, you'll also enroll in courses for a total 20 EC. You can choose between two options:

  1. You can choose a disciplinary package. In this package you can choose courses of one degree programme for a total of 20 EC. More information on the disciplinary packages can be found here.
  2. You can choose courses from the interdisciplinary package of the minor Data and Society for a total of 20 EC. In this package you will find courses from the Faculty of Arts (as well as from other faculties of Radboud University) that allow you to focus on specific aspects of data collection, such as improving your technical programming skills.

    Courses from the interdisciplinary package marked with an * below are part of the campus-wide minor programme in Data Science. If you complete the campus-wide Data Science minor, this will be mentioned on your diploma specifically or on a separate certificate. More information about the Data Science minor can be found here

    Notes about Data Science:
    • The statistics course can be substituted by another 5 EC statistics course.
    • Please be aware that even if you choose to do the Data Science minor within your elective space (20 EC), you still need to take the fixed components of the Data and Society minor (theme course, Academia and Society & think tank).

Please note

  • If you want to include a course in the elective space of the minor which is not included in the package or want to take a minor elsewhere (at another faculty or university), you must send a substantiated request to the Examination Board at least six weeks before the start of the course. If you want to include a different course in your interdisciplinary package, the Examination Board will check whether this course is indeed related to the theme of the minor and in case of (a change in) a disciplinary package, whether there is disciplinary coherence.
  • If you choose one or more courses offered by another faculty, please note that they might have different registration deadlines for courses, exams, and resits. Check the STIP-website of the faculty in question and/or the EER of the programme that offers the course you would like to take for more information.
  • It is not possible to account for each student’s timetable when scheduling the courses for the disciplinary and interdisciplinary packages. This means you will only be able to take a course if your timetable permits. If you encounter any difficulties planning which minor courses to take, please consult you study advisor.




Number of EC

NWI-IBC044 Mathematics for Data Science* 1 3
LET-ACWB209 Data Culture 1 5
SOW-CWB1017 Digitale Mediatechnologie 1 5
LET-CIWB253-IBC Statistics* 1&2 5
LET-CIWB269-IBC Programming for beginners: Python* 1&2 5
SOW-BKI248 Societal Impact of AI 1&2 6
LET-TWB121 Taalkundige databestanden 1&2 5

Onderzoeksontwerp en Beschrijvende statistiek

1&2 5
LET-CIWB260 Sociale media en nieuwe media*** 1&2 5
LET-LETMI-TH06A Assignment Data Science*
Only for students who also took the theme course Data and Society (LET-LETMI-TH06)
2 1
LET-CIWER802 Social media and new media*** 3 5
NWI-I00036 IT and Society 3 3
LET-CIWB270-IBC Artificial Intelligence in Action 3&4 5
FTR-FIPPSB310 Why trust science?** 3&4 5
NWI-IBC045 Data Science Project* 3&4 6
FTR-FIPPSB308 How modern knowledge society came about** 3&4 5
FTR-FIPPSB309 Knowledge and expertise in the contemporary knowledge society** 3&4 5
LET-CIWB158-IBC Information Science 3&4 5
LET-NTCB251-ENG Writing for non-specialist audiences 3&4 5
NWI-IBI007 Research Methods 4 3

**  Since these three courses are a module in the Philosophy, Politics and Society bachelor programme, students need to take all three courses. Because you cannot register directly via OSIRIS Student please send an email to stip@ftr.ru.nl. There only is a very limited number of places available for students from other faculties, so if you want to take this module, send an email to STIP FTR a.s.a.p (first come, first serve).

*** You cannot choose both courses marked with ***