Master's Programme in Speech and Language Processing
Universitat Konstanz · Constance, Germany
- Level
- Master's
- Award
- Master of Arts
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Konstanz
- Apply by
- Register by 15 May 2027 + 1 more
- Starts
- Winter and summer semester
Universitat Konstanz does not publish a fee for this programme on its own. Its published rate for master's programmes is €3,000 – €5,300 a year for international students.
Entry requirements and how to apply
- Entry requirements
- Applicants must have an above-average Bachelor's degree in linguistics. The grade point average of your Bachelor's degree should at least correspond to the German grade 2.5 (good). Students in the final year of their Bachelor's degree, who have not yet graduated, are welcome to apply. In exceptional cases applicants may be admitted who have completed their qualifying degree (grade "good" 2.5 or better) in another, comparable study programme with academic achievements that make successful participation in the Master's programme in Speech and Language Processing likely. Applicants must provide documentation of advanced English language skills (see below). A description of the admission requirements is found in the admission regulations of the University of Konstanz.
- English language requirement
- B2 required, please provide an official language certificate, e.g.: TOEFL iBT (before 2026): 80 IELTS Academic: 6 Cambridge English Qualifications: B2 First
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the winter semester: 20 March - 15 May The following is valid for applicants from: all countries For the summer semester: 25 November - 15 January
- Apply through
- Please check this website .
About this programme
The Master's degree programme in Speech and Language Processing is designed as a two-year programme (four semesters) with a workload of 120 ECTS points. There are two tracks within the programme: Human Language Processing (HLP) and Machine Language Processing (MLP). Core foundational and methodological courses are shared across the tracks, but students are expected to emphasise either the HLP or the MLP track by choosing a majority of courses within that track. In both tracks, the courses focus on both theory and practice. Acquiring competence in statistical methods and programming is required.
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