English
Language of Instruction
Oct
Available Intake(s)
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 informatics, mathematics and statistics, business administration and marketing as well as media, law and communication science. The planned Master's programme will be taught in English and will be carried out in cooperation with the High-tech Business & Entrepreneurship Group of the University of Twente (Netherlands). It has a volume of 90 CP, extends over four semesters and concludes with a Master of Science degree.
A GCQ360 counsellor can help you with eligibility, documents, and your application timeline.
The Master's degree programme in Data Science is completed part-time and practically. It will take place consistently in English (subject to B2 level) and concludes with a Master of Science degree. The standard period of study is four semesters (including the final thesis). The Master's programme comprises a total of 90 credit points and includes 380 hours of face-to-face courses. The individual modules take place in blocks of four and a half days. The practical project is completed while studying. Module 1 – Introduction to Data Science and Programming Systems | exam (90 minutes), case study Module 2 – Data Management | exam (90 minutes), case study Module 3 – Data Analytics | exam (90 minutes), case study Module 4 – IT Management, IT Security, Ethics, Legal Aspects | group presentation (one hour), assignment (5,000 words) Module 5 – Self-Management & Leadership | project (2 weeks), group presentation (one hour), essay (5,000 words) Module 6 – Practical Phase & Project Work | presentation (15 minutes), written elaboration (3,000 words) Module 7 – Social Media & Communications | exam (90 minutes), case study Module 8 – Application Areas | exam (90 minutes), case study Module 9 – Master's Thesis (maximum of 50 pages, working period: seven months) PDF Download | Courses are led with foreign partners | German language courses: No | English language courses: No
As of Sep 7, 2026, verify on the university’s site.
The following is valid for applicants from: all countries For the winter semester: until 15 September | Please find more details on this website.
Please apply via e-mail.
No minimum language level required
Tuition Fee
$9,747
The university has not stated whether this figure is annual or for the full programme. We verify this on request before you apply.
Looking for living expenses, accommodation, scholarships, placements, or campus facilities? See the university page.
We do not charge tuition fees. However, students must pay a semester contribution fee of approx. 355 EUR per semester. This includes various services for students as well as a "semester ticket" covering public transportation in Münster and all of Germany. You can find more information here.
No
Tuition fees may vary depending on several factors. For an exact breakdown of costs, please check the programme website.
No minimum language level required
The following tuition fees apply for applicants from: all countries 4,238 EUR
Please find details on the course website.
Yes
The MSc Data Science programme has a strong international orientation. It is delivered entirely in English and is conducted in collaboration with the University of Twente in the Netherlands. As part of this cooperation, selected modules are held on-site in Twente, providing students with an international learning environment and cross-border academic experience. Overall, the programme is designed to meet international academic standards and prepares students for careers in a global data-driven context.
This university has not published its own document list, so this is what a student going to Germany is generally asked for. Confirm the exact list with the university.
Bucerius Law School
Funding
Merit- and need-based awards toward the EUR 25,000 tuition fee
Applicants to the Master of Law and Business (LLM/MLB) programme; early-bird and scholarship deadline is January 15 for the September intake
National Merit Foundation
Funding
Full tuition waiver
For students admitted to an accredited university program, based on financial need and merit.
Il servizio di scambio accademico tedesco (DAAD)
Funding
EUR Research Stays, Scholarships, and Master's Programs
Students from pontifical universities.
Data Science is a program offered by University of Münster.
The estimated tuition fee for this program is approximately $9,747 USD per year.
Minimum qualification required: First qualifying university degree with at least 180 ECTS and at least one year of relevant professional experience in the field..
English proficiency test requirements vary -- a GCQ360 counsellor can confirm the exact score needed for this program.
No, this program does not require a GRE or GMAT score for admission.
Available intakes include: .
This specific program does not list a dedicated scholarship, but GCQ360 can help you explore other funding and scholarship options at University of Münster.
This program is offered in Full-time mode, taught in English at the Münster campus.
This program has no minimum work experience requirement. No thesis is required to graduate.
Yes -- a GCQ360 counsellor can guide you through eligibility checks, documentation, and the application process for Data Science at University of Münster.
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