Master 1 subject

Linguistic Data Science, Master 1 subject

  • What rules, which even native speakers are not aware of, can help to understand languages?
  • Is there a closed set of rules for each language?
  • How can computers and machines learn human language?
  • How can pattern recognition help translate languages?
  • How can you recognise computer-generated texts and fake reviews?

Profile
Degree
Master of Arts
Start
Winter semester
Duration
4 semesters
Classroom language
English
Information on enrollment/application for German applicants

Information on enrollment/application for German applicants

Get information now
Application information for international applicants

Application information for international applicants

Get information now
What's it all about?
This degree programme is unique, because ...

​it combines linguistics, computer science and data science at a sophisticated level.

It provides the opportunity to specialise in the following fields ...
  • ​Theoretical linguistics
  • Linguistic Data Science
  • Computational Linguistics

Course schedule
Module handbook
Who is suited?
Those who wish to enrol in this degree programme,

have:

  • Basic knowledge of linguistics, mathematics and computer science

enjoys:

  • Language and logic puzzles
struggles through:
  • Large volumes of as yet unsorted data

This degree programme is suited for graduates in the following subjects
  • ​Linguistics
  • computer science
  • mathematics/statistics
Graduates from this degree programme frequently work
  • ​in science and research
  • in companies involved using Big Data Tools and work with language data
  • in professional teams as "adapters" between experts of different backgrounds
  • in linguistic accessibility and public security
  • in language analysis and linguistic consulting

And else?
An internship ...

is optional.

Studying abroad ... can be covered voluntarily.
Where do I find help?
Academic advisory office

Beratung Linguistic Data Science Lab
Building, Room: GB 3/ 149
Email:
Website academic advisory office

Internet

Degree programmes' website