University of Zurich

Overview

The Master's programme in Computational Linguistics and Language Technology at the University of Zurich equips students with the skills to develop and evaluate language technologies by integrating principles from linguistics and computer science. This innovative programme covers key areas such as natural language processing (NLP), speech, and language data, allowing students to apply their knowledge through hands-on projects and specialized scientific research.

What you'll study

The programme is structured to provide a solid foundation in computational linguistics and language technology, followed by opportunities for deeper specialization and practical application.

Typical components

• Core and recommended course: Machine Learning for Natural Language Processing (recommended)
• Module choices: Select additional modules from the programme’s offerings and relevant courses in the Department of Informatics, as available.
• Scientific specialization (seminar): A research-oriented seminar that promotes academic depth and encourages independent study.
• Practice-oriented component: Computational Linguistics and Language Technology in Practice (project-based work)

How learning is assessed

Assessment methods typically include a combination of written and/or oral examinations, coursework, and project deliverables. The specific formats of assessment depend on the modules chosen by the student.

Entry requirements

There are no specific GRE or GMAT requirements for this programme. Additionally, a GPA requirement is not stipulated.

Career prospects

Graduates of the Master's programme in Computational Linguistics and Language Technology are well-equipped for various roles in academia, industry, and research. Potential career paths include positions in software development, data analysis, artificial intelligence, and machine learning, as well as opportunities in linguistic research and language technology implementation.