Master of Science in Computational Linguistics
An advanced Master's programme focused on the automatic processing of written and spoken language.
Best for:Best for students with a background in linguistics or computer science seeking advanced training in NLP and speech processing.
Overview
The Master of Science in Computational Linguistics at the University of Stuttgart provides an advanced education for students interested in the automatic processing of language. Offered by the Institute for Natural Language Processing, the curriculum covers theoretical foundations, applied natural language processing, and speech processing. Students engage in practical team laboratory projects and research modules to prepare for their Master's thesis. The programme is designed for individuals with backgrounds in computational linguistics, computer science, or linguistics who wish to specialize in modern language technologies.
What you'll do
- Complete core modules covering theoretical foundations and fundamental technologies in computational linguistics.
- Participate in a team laboratory project to develop practical skills in collaborative research environments.
- Select elective courses to specialize in areas such as applied NLP or speech processing.
- Conduct independent research within a dedicated module to prepare for the Master's thesis.
- Author and defend a Master's thesis in the final semester.
Requirements
Degree required: Bachelor's degree in computational linguistics, natural language processing, computer science, linguistics, or a related field.
Degree offered: Master of Science
Language: English; C1 level required.
Instruction: English
- Academic background in computational linguistics, computer science, or linguistics.
- English language proficiency at C1 level (e.g., IELTS 7.0, TOEFL iBT 95).
- Ability to engage in advanced theoretical and applied coursework.
- Hold a recognized Bachelor's degree in a relevant field.
Funding & terms
Programme and admissions
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How to apply
Applications must be submitted through the university's online portal. Applicants should check the specific deadlines for winter and summer semesters and ensure all required documentation is uploaded.
- Bachelor's degree certificate
- Official language proficiency certificate
- Academic transcripts
Contact
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