Master in Data Science (MSc)

The Master's programme in Data Science at the University of Marburg is designed to deepen knowledge and develop specialised competencies in working with large datasets. The programme draws on computer science and applied mathematics to equip students to independently develop solutions to technical and scientific problems, critically assess scientific findings, and apply them responsibly in practice. Core areas of study include machine learning, software development of scalable systems, big data technology, and applied mathematics. Students can optionally choose an application area such as medical informatics, social sciences, geoinformatics, or languages. The curriculum is structured around 120 ECTS and runs over 4 semesters, with 30 ECTS expected per semester. Alongside elective modules in computer science (at least 24 ECTS) and mathematics (18 ECTS), the programme includes practical and seminar components (24 to 27 ECTS): a year-long software project, at least one seminar, and individual scientific project work. The programme concludes with a 30-ECTS master's thesis on a research-related problem in data science. Intake is in either the winter or summer semester. At the time of application, students should have earned at least 144 ECTS points. The programme is offered at the University of Marburg in Marburg, Germany.