The degree programme teaches methods from computer science, mathematics, statistics and machine learning for gaining knowledge from data. A particular focus lies on working with large, heterogeneous and unstructured datasets.

The application subject is especially formative, because it is where data science methods are applied in practice and embedded in a disciplinary context.

• Subject studies with foundations in computer science, mathematics and data science.
• A professionalisation area with advanced topics, an application subject, internships and key competences.
• A bachelor's thesis in an application subject or in data science methods.

Students can currently choose from eight application subjects, including bioinformatics, digital humanities, medical informatics and computational sustainability.

Today, data scientists work in research, healthcare, business, IT, consulting, finance and public institutions.

Information on university entrance pathways is available here.

English skills are helpful; additional information for international applicants is available here.

The programme expects interest in mathematics and analytical work as well as a willingness to collaborate across disciplines. Prior programming knowledge is not required.

The programme has open admission. Enrolment takes place without a prior application.

Open admission, meaning enrolment without a prior application.

Open admission, application via Study International.

The computer science preparatory course and the mathematics preparatory course are recommended. Both help with the academic transition into the degree and with getting to know other first-year students.