Uppsala University

Overview

The Master’s Programme in Language Technology at Uppsala University prepares students to develop and assess systems that engage with human language. This includes creating tools for translation, text search, writing assistance, and language-aware analytics. The program emphasizes the integration of computational techniques with linguistic knowledge, focusing on data, modeling, and machine learning.

What you'll study

Typical study plan: The program spans 24 months, offering 120 ECTS credits. Students will engage in core courses covering programming, mathematics, and natural language processing, along with advanced modules and research-oriented projects.

Core courses

• Programming for Language Technologists
• Mathematics for Language Technologists
• Natural Language Processing
• Advanced Programming for Language Technologists
• Machine Learning in Natural Language Processing
• Language Technology: Research and Development

Research and applied focus

The research and development segment enables students to apply language-technology methods that enhance both practical system creation and the critical assessment of outcomes. This may involve project work, supervised tasks, and data-driven experiments.

Skills you build

• Programming for NLP workflows and experiments
• Statistical and machine-learning approaches to linguistic phenomena
• Evaluation of models using relevant metrics and error analysis
• Clear communication of methods and findings

Entry requirements

Applicants must possess a Bachelor’s degree (or equivalent) from a recognized university, aligning with the standards of a Swedish Kandidatexamen. Additionally, a minimum of 60 credits in language technology, computational linguistics, computer science, linguistics, or a related language subject is required.

Career prospects

Graduates of the Language Technology Master's Programme can pursue various career paths in industries including technology, research, education, and linguistics. Opportunities may include roles in software development, data analysis, research positions, and language consulting, equipping students with the skills necessary to thrive in a rapidly evolving linguistic landscape.