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
Admission
Not restricted, application at the faculty required
Information on enrollment/application for German applicants

Information on enrollment/application for German applicants

Application information for international applicants

Application information for international applicants

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

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