PhD Monitor
/Detail
Digital Humanities● OpenMastersPreview

Data and Discourse Studies

An interdisciplinary Master's programme exploring the intersection of language, digital data, and society.

Best for:Best for students with a background in humanities or social sciences seeking to develop advanced digital research and data analysis skills.

Technical University of Darmstadt · Darmstadt, Germany · R1 · First-stage researcher
More professors at Technical University of Darmstadt
Computational LinguisticsDiscourse AnalysisDigital HumanitiesSocial Data AnalysisLinguistic Data Processing
This is a masters position — not a PhD studentship.
Deadline
Register by 28 February 2027 + 1 more
Funding
—
No tuition fees; semester contribution of approximately 380 EUR.
Start date
Winter or Summer semester
Location
Darmstadt
Germany

Overview

The Data and Discourse Studies programme at the Technical University of Darmstadt investigates the complex relationship between language, knowledge, and social structures. Students gain methodological expertise in processing and interpreting digital research data, with a specific focus on linguistic and visual materials such as texts and images. The curriculum addresses the growing demand for analytical methods that can effectively measure, categorize, and interpret large-scale datasets within the humanities and social sciences. Participants are expected to engage with both theoretical frameworks and practical applications to navigate the challenges of the digital age.

Digital HumanitiesData AnalysisLinguisticsSocial SciencesText AnalysisVisual DataMethodology

What you'll do

  • Engage in the systematic analysis of linguistic and visual digital data.
  • Apply computational methods to categorize and interpret large datasets.
  • Participate in interdisciplinary research projects bridging humanities and social sciences.
  • Develop methodological competence in digital research practices.
  • Complete coursework focusing on the relationship between language, knowledge, and society.

Requirements

Degree required: Bachelor of Arts or Bachelor of Science in history, linguistics, literary studies, philosophy, political science, sociology, or a related subject.

Degree offered: Master of Arts

Language: English; C1 level required (e.g., IELTS 7, TOEFL equivalent, or Cambridge C1 Advanced).

Instruction: English

Required skills
  • Academic background in humanities or social sciences
  • English language proficiency at C1 level
  • Interest in digital research methodologies
Nice to have
Basic knowledge of data analysis toolsExperience with digital research dataIntercultural communication skills
Eligibility
  • Hold a recognized Bachelor's degree in a relevant discipline
  • Meet the English language proficiency requirements

Funding & terms

Type
Unknown
Amount
No tuition fees; semester contribution of approximately 380 EUR.
Duration
4 semesters
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2027-08-31

Applications must be submitted through the university's official international admissions portal. Prospective students should review the specific requirements for international applicants provided on the university website.

Documents required
  • Bachelor's degree certificate
  • Official English language proficiency certificate
  • Academic transcripts
↗Check programme and admissions

Contact

Lab
Department of Human Sciences
Technical University of Darmstadt
Germany
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.