Computational Linguistics
University of Stuttgart · Stuttgart, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Stuttgart
- Apply by
- Register by 15 July 2027 + 1 more
- Starts
- Winter and summer semester
University of Stuttgart does not publish a fee for this programme on its own. Its published rate for master's programmes is €3,000 a year for international students.
Entry requirements and how to apply
- Entry requirements
- A Bachelor's degree in computational linguistics, natural language processing, computer science, linguistics or a related field is required.
- English language requirement
- C1 required, please provide an official language certificate, e.g.: PTE Academic: 76 Cambridge English Qualifications: C1 Advanced IELTS Academic: 7 TOEFL iBT Home Edition (before 2026): 95 TOEFL iBT Home Edition (since 2026): 5 TOEFL iBT (before 2026): 95 TOEFL iBT (since 2026): 5
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the winter semester: 15 May - 15 July The following is valid for applicants from: all countries For the summer semester: 1 December - 15 January
- Apply through
- Please check this website .
About this programme
Dialogue systems, machine translation, search engines and much more – with your Master of Science degree in Computational Linguistics (CL), you can make your contribution to all these fascinating fields! The programme is offered by the Institute for Natural Language Processing Stuttgart, which is located in Faculty 5: Computer Science, Electrical Engineering and Information Technology. It is intended for students from the fields of computational linguistics, computer science, general linguistics and related disciplines. Our programme provides an advanced education to students who wish to widen their knowledge of theories and applications relevant to the automatic processing of written and spoken language. The programme starts with an intensive class that reviews the basics of computational linguistics. Students can focus on one of the following areas by choosing specific elective courses: Core Computational Linguistics (covering a wide range of theoretical foundations and fundamental technologies for different CL areas) Applied Natural Language Processing (covering a wide range of text processing applications and the techniques used to address them) Speech Processing (focusing on the automated processing of spoken language for a variety of purposes) In a CL team laboratory in the second semester, students acquire practical skills for typical collaborative project situations. A CL research module in the third semester prepares students for writing their Master's theses. In add
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