Master of Science in Data Science
A part-time, interdisciplinary Master's programme focused on the strategic, ethical, and technical application of data science in business.
Best for:Working professionals with a background in economics, informatics, or related fields seeking to advance their data-driven leadership skills.
Overview
The Master of Science in Data Science at the University of Münster is a part-time, interdisciplinary programme designed for professionals seeking to bridge the gap between technical data analysis and strategic business decision-making. Developed in cooperation with the University of Twente, the curriculum integrates business informatics, mathematics, statistics, law, and communication science. Students gain the competencies required to navigate the ethical, legal, and business challenges of digitisation while mastering advanced data analytics. The programme is delivered in English and structured to accommodate working professionals through block-based modules.
What you'll do
- Complete 90 credit points across nine modules including data management, analytics, and IT security.
- Participate in block-based face-to-face courses held over four and a half days per module.
- Conduct a practical project while maintaining professional employment.
- Develop strategic communication skills for presenting data-driven insights to stakeholders.
- Author a Master's thesis over a seven-month period.
- Collaborate with international partners and peers during on-site modules in Twente.
Requirements
Degree required: First qualifying university degree with at least 180 ECTS.
Degree offered: Master of Science
Language: English; B2 level required.
Instruction: English
- At least one year of relevant professional experience in the field.
- English language proficiency at B2 level (e.g., IELTS Academic 5.5 or equivalent).
- Foundational knowledge in mathematics, statistics, or informatics.
- Applicants must hold a first university degree (180 ECTS minimum).
- Applicants must have at least one year of relevant professional experience.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2026-09-15
Applications should be submitted via email to the programme office. Please refer to the official programme website for specific document requirements and detailed application procedures.
- University degree certificate
- Proof of professional experience
- English language certificate
Contact
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