Natural language processing and large language models

Education facts

Code: DIT249

The course gives an introduction to machine learning models and architectures used in modern natural language processing (NLP) systems, including large language models (LLMs). This is a technical course with a research angle that covers the technical solutions underlying modern NLP technologies and large language models.

Entry requirements

To be eligible to the course, the student should have a Bachelor's degree in any subject. In addition, the course requires: - 7\.5 credits of courses in programming or equivalent, - a course including probability and statistics, such as Statistical Methods for Data Science or Mathematical Statistics and Discrete mathematics, - a course in machine learning, such as Applied Machine Learning, Algorithms for Machine Learning and Inference, or Statistical Learning for Big Data. Applicants must prove knowledge of English: English 6/English level 2 or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Natural language processing and large language models

  University of Gothenburg

  Start date: 2 November 2026

  End date: 17 January 2027

  Pace of study: 50 %