Syllabus for Master Programme in Language Technology
Masterprogram i språkteknologi
- 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
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.
All applicants need to verify English language proficiency that corresponds to English studies at upper secondary (high school) level in Sweden ("English 6"). This can be done in a number of ways, including through an internationally recognised test such as TOEFL or IELTS, or through previous upper secondary (high school) or university studies.
The minimum test scores are:
- IELTS: an overall mark of 6.5 and no section below 5.5
- TOEFL: Paper-based: Score of 4.5 (scale 1–6) in written test and a total score of 575. Internet-based: Score of 20 (scale 0–30) in written test and a total score of 90
- Cambridge: CAE, CPE
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.