Data Science and Machine Learning, MSc

The Data Science and Machine Learning programme concentrates on data science research activities with a focus on life and natural sciences, including medicine. Students in the programme acquire professional and interdisciplinary skills to meet the challenges of digital transformation in society and at the university. They master the methodological foundations of complex data analysis with a strong focus on machine learning methods, and they develop a comprehensive understanding of developing, implementing, and analysing data-driven algorithms on both technical and conceptual levels. The programme enables students to gain specific expertise in applying analytical methods across three specialisation areas and effectively communicate insights to domain experts. We offer the following three specialisations: 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 Students will experience a high proportion of guided but independent research directly in the laboratories of the university. Reasons to study Data Science and Machine Learning 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.) Career perspectives Graduates will be excellently qualified for specialist and management positions in various fields of activity involving the collection, management, processing, analysis and interpretation of digital data, as well as for academic research. Possible career fields include: 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 Contacts with companies and start-ups will also be promoted. Core 30 CP Introduction to Data Science Applied Deep Learning Machine Learning Statistical Learning Interdisciplinary Lecture Series Data Science & Data Ethics Core Electives: choose 12 CP Exploring Research Data Management Trustworthy Machine Learning Machine Learning II Advanced Topics in Applied Deep Learning Time Series Analysis Introduction to IT Security Designing Explainable Artificial Intelligence Applied AI – Multimodal-Multisensor Interfaces Internship Current topics in Data Science and Machine Learning German / Academic English _______ Specialisation: Theoretical Foundations of Machine Learning in Mathematics and Natural Sciences Compulsory 18 CP Theoretical Foundations of Machine Learning and Data Science Group project Electives: choose 18 CP + additional 12 CP from the core area Mathematical Foundations of Statistical Learning Introduction to Numerical Methods for Partial Differential Equations Computational Physics Modelling of Complex Systems Current Topics in Theoretical Foundations of Machine Learning in Mathematics and Natural Sciences Information Processing and Communication _______ Specialisation: Data Science and Machine Learning in Medicine and Health Care Compulsory 30 CP Medical Data Pipelines Medical Data Analysis with Deep Learning Big Data Analytics and Clinical Decision Support Group project Electives: choose 18 CP Special topics in "Medical Informatics" Medical Technology Medical Basics B