Data Science (MSc)
A comprehensive Master's programme in Data Science focusing on big data, machine learning, and applied mathematics.
Best for:Best for students with a background in Computer Science or Mathematics seeking to specialize in data-centric research and development.
Overview
The Master of Science in Data Science at Marburg University is a full-time, four-semester programme designed to provide advanced training in big data technologies and analytical methods. Students gain expertise in computer science and applied mathematics, with opportunities to specialize in areas such as machine learning and scalable software systems. The curriculum emphasizes practical application through project-oriented modules, including a year-long software project and a research-focused Master's thesis. Graduates are prepared to address complex technical challenges in a digitalized society through a transdisciplinary approach.
What you'll do
- Complete 120 ECTS credits across compulsory, elective, and practical modules.
- Participate in a year-long, data-centric software project involving modeling and implementation.
- Engage in seminar modules to evaluate and compare scientific research results.
- Develop and apply advanced data science techniques in an individual research project.
- Conduct independent research and write a Master's thesis under faculty supervision.
Requirements
Degree required: BSc in Data Science, Computer Science, Mathematics, or a comparable degree.
Degree offered: MSc
Language: English C1 (e.g., IELTS Academic 7.0) OR English B1 and German DSH-2.
Instruction: English (some electives may be in German)
- In-depth knowledge of computer science and mathematics.
- Documented proficiency in machine learning.
- Completion of at least 144 ECTS credits at the time of application.
- Must meet minimum GPA requirements as defined by the university.
- Must provide proof of financial resources (at least 992 EUR per month) for international students.
Funding & terms
Programme and admissions
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How to apply
Applications must be submitted via the uni-assist portal or the university's official application website. Candidates must undergo an eligibility assessment procedure to be considered for admission.
- Academic transcripts
- Bachelor's degree certificate
- Language proficiency certificate
Contact
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