University of Zurich

Overview

The Bachelor’s programme in Computational Linguistics and Language Technology at the University of Zurich equips students with the skills to develop and assess language technologies using data-driven approaches. This interdisciplinary course blends foundational computational linguistics with practical expertise in programming, machine learning, and contemporary natural language processing (NLP) systems.

What you'll study

Core courses may include:

• Machine Learning in Computational Linguistics
• Language Technology and Web Applications
• Phonetic Data Analysis
• Crosslinguistic Corpus Phonetics
• Excursion
• Large Language Models

Key areas of focus:

• Programming and implementation of language-processing workflows
• Working with linguistic and annotated datasets, such as corpora
• Empirical evaluation of language technology systems
• Applied topics including text mining, parsing, and machine translation

Note: The list of courses is not exhaustive. For a complete overview of the curriculum, including elective options and any thesis or capstone requirements, please consult the University of Zurich’s programme page.

Entry requirements

While there are no specific GRE, GMAT, or GPA requirements disclosed for this programme, prospective students should refer to the University of Zurich's admissions guidelines for detailed information regarding entry criteria.

Career prospects

Graduates of the Computational Linguistics and Language Technology programme are well-prepared for a variety of careers in technology and language services. Potential career paths include roles in software development, language processing, data analysis, and research within academic and industrial settings. The combination of computational skills and linguistic knowledge positions graduates for success in a rapidly evolving job market focused on language technologies.