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Mathematics● OpenMastersPreview

Master of Science in Mathematics in Data Science

Advance your expertise in the mathematical foundations of data science and artificial intelligence at TUM.

Best for:Best for quantitative graduates with a strong background in mathematics or computer science looking to specialise in data science algorithms.

Technical University of Munich · Garching b. München, Germany · R1 · First-stage researcher
More professors at Technical University of Munich
Machine LearningData ScienceArtificial IntelligenceMathematical OptimisationStatistics
This is a masters position — not a PhD studentship.
Deadline
Register by 30 November 2026 + 1 more
Funding
—
Tuition fees apply for non-EU students (6,000 EUR per semester); waivers and scholarships available
Start date
Winter or summer semester
Full-time
Location
Garching b. München
Germany

Overview

The Master of Science in Mathematics in Data Science at the Technical University of Munich offers a rigorous, high-profile education blending advanced mathematics with artificial intelligence and data science. Designed for students holding a relevant Bachelor's degree, the two-year curriculum covers core topics such as machine learning foundations, statistical modelling, optimisation, and data representation theory. Students engage in lectures, practical courses, seminars, and an integrated industrial or research internship before completing a culminating Master's thesis. Graduates emerge equipped to design predictive and classification tools, evaluate algorithm performance, and address complex, real-world analytical problems.

Mathematics in Data ScienceMSc Data ScienceTUM MasterApplied MathematicsStatistical ModellingAlgorithm Design

What you'll do

  • Complete rigorous coursework in advanced mathematics, statistics, and machine learning foundations
  • Participate in hands-on practical courses and data analysis projects
  • Complete a mandatory six-week professional or research internship
  • Engage in interdisciplinary modules covering the legal, social, and ethical dimensions of data handling
  • Conduct independent research culminating in a Master's thesis during the fourth semester

Requirements

Degree required: BSc in Mathematics, Computer Science (minor Mathematics), or comparable study programmes

Degree offered: Master of Science

Language: English; C1 required via IELTS 6.5, TOEFL iBT 88, PTE Academic 65, or Cambridge C1 Advanced

Instruction: English

Required skills
  • Strong foundation in university-level mathematics and data analysis
  • Proficiency in mathematical principles underlying machine learning and optimisation
  • Analytical capability to assess algorithmic capabilities and limits
Nice to have
Prior coursework or project experience in data engineeringFamiliarity with software tools for statistical computing and data processing
Eligibility
  • Applicants with a Bachelor's degree from Bangladesh, China, India, Iran, or Pakistan must submit a GRE General Test score (Quantitative reasoning: 157, Analytical writing: 3.5) or an Indian GATE test score in Mathematics

Funding & terms

Type
Unknown
Amount
Tuition fees apply for non-EU students (6,000 EUR per semester); waivers and scholarships available
Duration
4 semesters
Programme
Technical University of Munich
Technical University of Munich

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
Not confirmed by the source

How to apply

Deadline: 31 May

Submit your application through the TUMonline campus portal along with all required academic and language documents within the specified application periods.

Documents required
  • CV
  • BSc degree certificate and transcripts
  • Language proficiency certificate
  • GRE or GATE score report (if applicable)
↗Check programme and admissions

Contact

Lab
Department of Mathematics
Technical University of Munich
Germany
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