Master of Science in Data Science

["This Master's degree programme imparts skills that are necessary in order to handle the advancing digitisation of many areas of the physical and life sciences. This concerns topics such as the collection, processing, analysis and interpretation of large digital data sets. To this end, the Master's degree programme conveys the key aspects of modern data science, which is characterised by a blending of the central fields of mathematics, statistics, computer science and machine learning, taking application-related issues into account. With in-depth education in the corresponding branches of mathematics, statistics and computer science as well as in the relevant application fields of the physical and life sciences that engage in quantitative work, this programme imparts the skills needed to recognise the relevant problems in data analysis, develop and apply appropriate mathematical or computer science solutions and correctly interpret the results within the specific application context.The followingprofile areasare offered to students:Data Science in the Life Sciences:TheLife Science trackis designed for students aiming to apply data science methodologies to biological, biomedical, and health-related fields. This specialisation integrates core data science principles with domain-specific knowledge pertinent to the life sciences.Data Science Technologies:TheData Science Technologiestrack is tailored for students aiming to deepen their expertise in computational and algorithmic aspects of data science. This specialisation emphasises advanced technical skills, preparing graduates for roles in software engineering, artificial intelligence, and big data infrastructure."]