Syllabus for Master's Programme in Language Technology

Masterprogram i språkteknologi

A later update of this programme syllabus has been published.

  • 120 credits
  • Programme code: HSP2M
  • Established: 2014-09-11
  • Established by: The Faculty Board of Languages
  • Revised: 2016-09-29
  • Revised by: The Faculty Board of Languages
  • Reg. no: SPRÅKFAK 2016/55
  • Syllabus applies from: Autumn 2017
  • Responsible faculty: Faculty of Languages
  • Responsible department: Department of Linguistics and Philology

Entry Requirements

Academic requirements
A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university.
Also required is 60 credits in language technology, computational linguistics, computer science, linguistics or a language subject.

Language requirements
Proficiency in English equivalent to the Swedish upper secondary course English 6. This requirement can be met either by achieving the required score on an internationally recognised test, or by previous upper secondary or university studies in some countries. Detailed instructions on how to provide evidence of your English proficiency are available at


The Master Programme in Language Technology (Computational Linguistics) provides advanced training in both theoretical computational linguistics and language technology applications. Its aim is to prepare the students for a career in language technology research or development. It focuses on methods of formal analysis and modelling of linguistic phenomena that can form the basis of language technology systems. This concept covers automatic systems which process linguistic (spoken and/or written) input and/or output with a sensitivity to linguistic structure and content.

Layout of the Programme

The first semester of the two-year programme provides a basis for further studies. It comprises an introduction to programming, a course covering important mathematical concepts, and a research-oriented overview of the field of language technology. The second and third semesters provide further depth in key language technology areas, with an emphasis on data-driven statistical methods. There is some room for elective courses, allowing the students to tailor the programme to their career plans. The fourth and final semester is dedicated to work on a Master's thesis.


The programme leads to a Degree of Master of Arts (Two Years), with Language Technology as the main field of study.