Start of studies – Bachelor Computational Linguistics (integrative)

Program structure

The Bachelor's program in Computational Linguistics (CL) focuses primarily on the machine processing of natural language. This includes, for example, AI language models and other machine learning models, but also formally precise grammar representations that explicitly describe and explain the properties of language, thereby facilitating its processing. The BA CL teaches both theoretical and practical aspects of the subject. Anyone who is interested in language but also open to the disciplines of computer science and mathematics will be well suited to this program. Programming skills are not a prerequisite and are taught in a practical manner as part of the basic and advanced modules.

In the introductory phase of your studies, you will acquire basic knowledge in the areas of linguistics, logic and computer science. In addition to an overview of the current state of research, you will learn the skills you need to grasp and describe phenomena and problems in computational linguistics.

From the third semester onwards, you will enter deeper into more complex areas of computer linguistics. They teach to implement more complex programming projects and to develop solutions for specific computer linguistic tasks. In addition, there is the opportunity to further deepen your newly acquired knowledge in linguistics and computer science.

The course is completed with a Bachelor's thesis in which you work independently on a question of your own choice and demonstrate that you have mastered the theory and practice of computational linguistic research.

The computational linguistics job market has grown significantly in recent years, particularly due to the spectacular success of neural networks in artificial intelligence, on which large language models such as GPT are based. A solid and versatile education in computational linguistics will prepare you well for careers in academia or industry.

Some examples of typical computational linguistics tasks: machine translation, text generation, prompt engineering for AI chatbots, development and analysis of large language models, (based on this) development/optimization of chatbots such as ChatGPT or Gemini, optimization of dialogue systems such as Alexa, development/optimization of search engines, automatic detection of problematic content...