Theoretical Foundations of Machine Learning in Mathematics and Natural Sciences
Data Science and Machine Learning in Medicine and Health Care
Data-Driven Speech and Hearing Sciences
Get to know, apply and develop state-of-the art machine learning methods across a broad variety of different data modalities
Specialise in one of three areas of specialisation (theoretical foundations, health care, hearing science) and learn how to address data-bound problems in these domains
Develop expertise that is sustainable and relevant to society
English-taught programme with many international students
Interdisciplinary background of teachers and students
Small groups with 30 students per year
Optional integrated language courses and internship
Extensive support structures (tutorials, learning workshops etc.)
data scientist with a focus on data analysis and model development and validation
data analyst specialising in data cleaning and preparation
data engineer specialising in the development and management of data pipelines
machine learning engineer specialising in the selection, adaptation and further development of machine learning (including deep learning) methods for various information processing tasks
October
Non-EU
International applicants: Applications via uni-assist open on 15 March and close on 30 April for non-EU students and on 15 July for EU students . (To ensure a smooth admission process, we strongly recommend submitting your documents by 15 June .) Applicants with a German Bachelor's degree: The application period via the university opens on 1 June and closes on 15 July.