Master of Arts in Computational Linguistics and Language Technology
A cutting-edge master’s programme at Universität Zürich combining linguistic theory, machine learning, and language technology.
Best for:Best for students with a strong background in linguistics, computer science, or related fields who seek to specialize in AI-driven language technologies and research.
Overview
This Master of Arts programme at Universität Zürich equips students with advanced expertise in computational linguistics and language technology. Graduates develop deep knowledge in machine translation, text mining, dialogue systems, and discourse analysis, alongside foundational skills in speech processing and natural language processing (NLP). The curriculum emphasizes critical research evaluation, software development for language applications, and project management. Teaching experience and proficiency in programming are integrated into the curriculum, preparing students for PhD studies or industry roles. The programme bridges theoretical linguistics with practical AI-driven language solutions, fostering interdisciplinary problem-solving.
What you'll do
- Develop and implement language technology software using programming skills.
- Conduct independent research in natural language processing and related fields.
- Critically evaluate and analyze scientific research papers in computational linguistics.
- Design and apply machine learning solutions for language-related problems.
- Gain experience in project management and collaboration within interdisciplinary teams.
- Engage in teaching activities to enhance pedagogical skills.
Requirements
Degree required: Bachelor’s degree in Linguistics, Computer Science, Cognitive Science, or a related field (e.g. Artificial Intelligence, Information Technology).
Degree offered: Master of Arts (MA) in Computational Linguistics and Language Technology
Language: English proficiency (no specific test score mentioned).
Instruction: English
- Proficiency in programming (e.g., Python, Java, or similar).
- Strong analytical and critical thinking skills for evaluating research.
- Basic knowledge of statistical methods or machine learning principles.
- Ability to work independently and collaboratively in research projects.
- No explicit nationality or residency restrictions mentioned.
- No age or prior experience caps specified.
Funding & terms
Programme and admissions
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- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Applicants must apply through the official Universität Zürich portal for master’s programmes. The process involves submitting academic transcripts, a CV, a letter of motivation, and proof of English proficiency (if applicable). Additional documents may be required based on prior education.
- Bachelor’s degree transcripts and certificates
- Curriculum Vitae (CV)
- Letter of motivation
- Proof of English proficiency (if not from an English-taught undergraduate programme)
- Letters of recommendation (number not specified)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.