Master of Science in Natural Language Processing
Interdisciplinary AI-driven master’s programme specialising in computational linguistics, machine learning, and digital media analysis.
Best for:Best for graduates with a bachelor’s degree in computer science, linguistics, or related fields who seek to specialise in AI-driven language and media analysis, with a focus on practical, interdisciplinary problem-solving.
Overview
The Master of Science in Natural Language Processing (NLP) at Trier University is an interdisciplinary programme blending artificial intelligence, computational linguistics, and digital humanities. It equips students with advanced skills in machine learning, semantic technologies, and multimodal data analysis, preparing them for careers in AI-driven text and media processing. The curriculum combines theoretical foundations in mathematics, computer science, and linguistics with practical, application-oriented modules, including research case studies. Students engage with real-world data and interdisciplinary projects, fostering both technical expertise and critical reflection on societal implications. The programme attracts graduates from computer science, linguistics, communication science, and related fields, aiming to shape the future of digital language technologies.
What you'll do
- Develop and implement machine learning models for analysing, managing, and generating textual and multimodal content.
- Conduct research case studies applying computational linguistics and AI techniques to real-world language and media data.
- Collaborate in interdisciplinary teams to solve complex problems at the intersection of linguistics, computer science, and digital humanities.
- Evaluate and reflect on the societal, ethical, and practical implications of AI-driven language technologies.
- Write and defend a master’s thesis on a specialised topic within NLP or related fields.
- Participate in courses covering theoretical foundations and practical applications of NLP, including electives in digital humanities and data science.
Requirements
Degree required: Bachelor's degree in computational linguistics, linguistics, communication or media science (minimum grade equivalent to 2.3), or computer science (minimum grade equivalent to 2.3) with at least 20 credits in related fields (e.g., linguistics, media, or communication science for computer science graduates).
Degree offered: Master of Science (MSc)
Language: English; C1 proficiency (TOEFL iBT ≥ 80 or 4.5 since 2026, IELTS Academic ≥ 6.5, Cambridge C1 Advanced, or UNIcert III).
Instruction: English
- Proven proficiency in English at C1 level (verified by TOEFL, IELTS, Cambridge, or UNIcert).
- Strong background in computational methods, programming, or data analysis.
- Basic understanding of mathematical and statistical concepts relevant to AI and NLP.
- Ability to work independently and collaboratively in interdisciplinary teams.
- Non-EU citizens: Application deadlines are 15 January 2027 (summer semester 2027) and 31 May 2027 (winter semester 2027/28).
- EU citizens, German citizens, or applicants with a BA/MA from a German university: Application deadlines are 15 March 2027 (summer semester 2027) and 15 September 2027 (winter semester 2027/28).
- No German language skills required.
Funding & terms
Programme and admissions
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How to apply
Deadline: 15 January 2027 (summer semester 2027) or 31 May 2027 (winter semester 2027/28) for non-EU citizens; 15 March 2027 (summer semester 2027) or 15 September 2027 (winter semester 2027/28) for EU/German citizens or those with a German degree
Applicants must submit their application through the university’s online portal (Porta-System). Required documents include a bachelor’s degree certificate, proof of English proficiency, a detailed checklist of required materials, and any additional documents specified for the chosen degree programme. Detailed instructions and deadlines are available on the university’s application website.
- Bachelor’s degree certificate and transcript
- Proof of English proficiency (TOEFL, IELTS, Cambridge, or UNIcert)
- Detailed checklist of required application documents
- Curriculum Vitae (CV)
- Motivation letter
- Proof of at least 20 credits in related fields (if applicable)
Contact
Not specified· Admissions Office
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