Data Science and Machine Learning, MSc

["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"]