Data and Discourse Studies
Technical University of Darmstadt · Darmstadt, Germany
- Level
- Master's
- Award
- Master of Arts
- Language
- English
- Duration
- 4 semesters
- Campus
- Darmstadt
- Apply by
- Register by 28 February 2027 + 1 more
- Starts
- Winter and summer semester
Technical University of Darmstadt does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.
Entry requirements and how to apply
- Entry requirements
- Requirements for admission to the Master’s degree programme (and thereby university enrolment) are comprised of a Bachelor of Arts or Bachelor of Science degree in one of the following disciplines: history, linguistics, literary studies, philosophy, political science, sociology, or a related subject. Admission to the Master’s degree programme may also depend on additional requirements. For further questions, please contact the departmental adviser’s office. Please note the general information on the Master’s degree programme , including information for students with degrees from abroad: International Admission .
- English language requirement
- C1 required, please provide an official language certificate, e.g.: telc English: telc English B2-C1 University PTE Academic: 76 TOEIC: 945 Reading: 455 Listening: 490 Speaking: 200 Writing: 200 UNIcert® English: UNIcert® III Cambridge English Qualifications: C1 Advanced IELTS Academic: 7
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the summer semester: until 28 February The following is valid for applicants from: all countries For the winter semester: until 31 August
- Apply through
- Please check this website .
About this programme
The Data and Discourse Studies programme examines the relationship between language, knowledge and society. The aim is to impart methodological competence in dealing with digital research data in the humanities and social sciences. These research data are primarily linguistic and visual data – texts and images. In view of the ever-increasing amount of data, there is a growing need for methods that not only measure and categorise the data but also explain and interpret it.
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