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Data Management in the Humanities and Social Sciences
(dt. Datenmanagement in den Geistes- und Sozialwissenschaften)

Level, degree of commitment Advanced module, compulsory elective module
Forms of teaching and learning,
Lecture (2 SWS), recitation class (2 SWS),
180 hours (lecture: Präsenz, preparation and follow-up (60h), recitation class: Präsenz, preparation and follow-up (90h), exam preparation and -durchführung (30h))
Credit points,
formal requirements
6 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Written examination (90-120 min.) or oral examination (20-30 min)
German or English,
The grading is done with 0 to 15 points according to the examination regulations for the degree program MA Cultural Data Studies.
One semester,
each summer semester
Person in charge of the module's outline N.N.


See Qualification Objectives.

Qualification Goals

In the module, students deal with the information technology fundamentals of managing data in the humanities and social sciences. These are presented in an application-oriented manner in a lecture. In an exercise, the presented technologies are applied and deepened through programming tasks (primarily) in the Python programming language with sample data.

By completing the module, students will be able to present essential technologies used for storing and processing research data in the humanities and social sciences. They will be able to solve simple programming tasks for storing and processing appropriate research data and present the results. Students will have acquired the ability to compare and discuss the advantages and disadvantages of various technological solutions for data management.




Module imported from MA Cultural Data Studies.

When studying M.Sc. Data Science, this module can be attended in the study area Application Area Modules.

The module is assigned to the focus area Social Sciences. Further information on eligibility can be found in the description of the study area.

Recommended Reading

(not specified)

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

  • Winter 2016/17 (no corresponding element)
  • Summer 2018 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.