Data Science
University of Münster · Münster, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- part-time (study alongside work)
- Campus
- Münster
- Apply by
- Register by 15 September 2026
- Starts
- Winter semester
- Tuition
- €8,476
Entry requirements and how to apply
- Entry requirements
- First qualifying university degree with at least 180 ECTS and at least one year of relevant professional experience in the field.
- English language requirement
- B2 required, please provide an official language certificate, e.g.: IELTS Academic: 5.5
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the winter semester: until 15 September
- Apply through
- Please apply via e-mail .
About this programme
Digitisation simplifies numerous processes and opens up design options that would have been unthinkable until recently, but this also means companies and institutions face new challenges that digitisation and the associated amounts of data entail. Many companies already recognise the enormous value that the use of data can have for product development, production, marketing, customer relationship management and ultimately sales. Therefore, when dealing with these large amounts of data, the focus is not only on statistical evaluation and information technology preparation but also on the targeted utilisation of the data collected for communication and marketing purposes. Data scientists therefore need additional competencies that enable them to strategically analyse the problems from an ethical, legal and business perspective and to implement them in a targeted manner in the company due to their pronounced communication skills. Data science generates a new interdisciplinary professional field. To meet these requirements, special skills are required that go beyond the know-how of a single discipline. The necessary knowledge to be acquired is made up of knowledge and skills from various areas of science. The new part-time, interdisciplinary and international Master's degree course of study in Data Science, which is part of Department 4 (Economics), fills this gap and provides in-depth training in the relevant disciplines. It includes content from the fields of business informati
Data Science at other universities
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