Master of Science in Data Science
A research-oriented, interdisciplinary Master's programme focusing on advanced statistical theory and contemporary data science methods.
Best for:Graduates with a strong background in statistics, mathematics, or computer science seeking advanced training in statistical theory and data analysis.
Overview
The Master of Science in Data Science at TU Dortmund University is a two-year, full-time programme jointly offered by the Departments of Statistics, Computer Science, and Mathematics. Designed for students with a strong foundational background, the curriculum emphasizes advanced statistical theory, statistical learning, and big data analysis. Students are expected to engage in scientific research and develop the interdisciplinary communication skills necessary to apply complex methods across various fields. The programme provides a flexible structure with core and elective modules, project-based work, and opportunities for internships.
What you'll do
- Complete core and elective modules in statistics, mathematics, and computer science.
- Engage in project-based courses to apply theoretical knowledge to practical data science problems.
- Conduct independent scientific research leading to a Master's thesis.
- Participate in case studies or optional external internships to gain professional experience.
- Develop interdisciplinary communication skills for technical and non-technical audiences.
Requirements
Degree required: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
Degree offered: Master of Science
Language: English; B2 level required (e.g., IELTS Academic 5.5).
Instruction: English
- Solid foundational knowledge in statistics, mathematics, and computer science.
- Minimum grade equivalent to 2.7 in the German grading system.
- Completion of a self-assessment test and self-disclosure document.
- Submission of a 10-page report based on a provided statistics project.
- English language proficiency at B2 level (e.g., IELTS Academic 5.5).
- Must hold a relevant Bachelor's degree with sufficient basics in statistics, mathematics, and computer science.
- Must meet the minimum academic grade requirement of 2.7 (German system).
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application via the uni-assist portal. The process requires completing a self-assessment test, a self-disclosure document, and a 10-page report based on a specific statistics project published on the department website.
- Bachelor's degree certificate
- Academic transcripts
- English language certificate
- Self-assessment test results
- Self-disclosure document
- 10-page statistics project report
Contact
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