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

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
Hauptseminar (2 SWS),
180 hours (Hauptseminar: Präsenz, preparation and follow-up (120h), Durchführung der Modulprüfung (60h))
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: Software development (3 cp) and documentation (3 cp, 10,000-15,000 characters) or written examination (90-120 minutes) or oral examination (20-30 minutes)
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 winter semester
Person in charge of the module's outline N.N.


See Qualification Objectives.

Qualification Goals

The module uses exemplary application cases to deepen students' engagement with research data in the humanities and social sciences. The focus is on computer-based methods of data analysis and modeling, which are presented in the form of a seminar course and practiced by means of exercises. In the context of a final programming project, students deepen their knowledge with a specific method.

After completing the module, students will be able to apply methods of computer-assisted data analysis and modeling to exemplary application areas in the humanities and social sciences. They will be able to design and implement software-based data analysis for a given topic area. Students have acquired the ability to critically comment on the scientific and social consequences of the methods and technologies used.




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.