Starting from scratch, the curriculum covers a wide array of text technologies.
- Natural Language Processing: Technologies from computational linguistics are nowadays crucial in digital text analysis. This module offers an extensive introduction to modern pipelines in Natural Language Processing. Jointly, we work towards practical applications on textual data, as well as solutions for the many challenges that remain open in the field.
- Data Science: Employers in academia and the industry increasingly expect data scientists to be able to rapidly extract relevant insights from large document collections. In this module, we focus on exploratory data analysis and practical data visualization, involving challenging, real-world datasets.
- Machine Learning: Deep learning features prominently in this programme, as a crucial component of contemporary artificial intelligence. Modules focusing on neural networks are supplemented by a wide-ranging and in-depth survey of established, alternative methods from machine learning.
A unique feature of this curriculum is the compulsory programming bootcamp at the beginning of the first semester. This 3-week course makes no assumptions whatsoever about the students’ coding proficiency and will provide a no-nonsense introduction to modern computer programming and the wider scientific ecosystem in computing.
Above all, this Master delivers a practice-oriented educational programme, for example through a project-based Master’s thesis and the possibility of an external internship with one of our many stakeholders in academia or the industry. On top of these, students can choose from a diverse array of elective modules from the departments of literature and linguistics.