Master of Science in Mathematical Data Science
Comprehensive Master's programme focusing on the rigorous mathematical foundations of modern data science algorithms.
Best for:Best for quantitative graduates with a strong mathematics background seeking advanced expertise in data science theory and applications.
Overview
The Master of Science in Mathematical Data Science at Brandenburg University of Technology Cottbus-Senftenberg is a four-semester, 120 ECTS full-time or part-time graduate programme taught entirely in English. The curriculum delivers rigorous training in mathematical foundations, including non-convex optimization, stochastic processes, high-dimensional statistics, and graph theory, complemented by core computer science topics like neural networks and distributed computing. Students engage in cutting-edge research applications across energy systems, neuroscience, and sustainable technologies within a small technical university environment. Graduates are well-prepared for diverse career opportunities in academia, industry, and the public sector.
What you'll do
- Complete 46 credit points of compulsory mathematical modules including foundational theory, seminars, and a Master's thesis
- Select 68 credit points of mandatory elective modules across advanced mathematical methods, data science fundamentals, and application domains
- Fulfill 6 credit points of general studies requirements
- Participate in Master's seminars and engage in collaborative academic projects with peers from engineering and economics disciplines
Requirements
Degree required: Bachelor's degree with at least 180 credit points in a mathematical or mathematics-related degree programme
Degree offered: Master of Science
Language: English; B2 required, proven via official certificate such as IELTS Academic 6.0, TOEFL iBT 79, or equivalent
Instruction: English
- Solid foundational knowledge in mathematics equivalent to a mathematics or business mathematics bachelor's degree
- Ability to engage with abstract mathematical concepts and rigorous algorithmic proofs
- Proficiency in English comprehension and academic communication
- Hold an eligible Bachelor's degree with a minimum of 180 ECTS credits in mathematics or a closely related field
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application documents through the uni-assist portal within the designated application periods for EU and non-EU applicants. Ensure all language certificates and degree transcripts are properly prepared and uploaded before the deadline.
- Bachelor's degree certificate
- BSc transcripts
- English language certificate
Contact
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