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Applied Mathematics● OpenMastersPreview

Mathematics for Data and Resource Sciences Master

Master the mathematical methods and data techniques required to tackle modern industrial and resource challenges.

Best for:Best for mathematics graduates seeking to apply advanced quantitative and data science techniques to industrial and resource challenges.

TU Bergakademie Freiberg · Freiberg, Germany · R1 · First-stage researcher
More professors at TU Bergakademie Freiberg
mathematical data sciencegeomathematicsmachine learningresource optimizationnumerical analysis
This is a masters position — not a PhD studentship.
Deadline
Register by 15 October 2026 + 1 more
Funding
—
4 semesters
Start date
Winter and summer semester
Full-time
Location
Freiberg
Germany

Overview

TU Bergakademie Freiberg offers a comprehensive Master of Science programme in Mathematics for Data and Resource Sciences designed to bridge advanced mathematical theory with real-world industry applications. Students focus on machine learning, large-scale data processing, and mathematical modelling tailored toward climate change, circular economy, and resource optimization. The curriculum provides flexible pacing, including the option to initiate the Master's thesis early through industrial collaboration. Graduates are well-prepared for technical roles in IT, finance, resource management, and corporate consulting.

applied mathematicsdata scienceresource managementclimate changemathematical modeling

What you'll do

  • Complete advanced coursework across four semesters in mathematical data science or geomathematics
  • Participate in practical training modules focusing on the processing and analysis of large datasets
  • Engage with local industrial partners through optional projects or a qualifying industrial internship
  • Conduct independent academic research culminating in a comprehensive Master's thesis

Requirements

Degree required: Bachelor's degree in mathematics or equivalent

Degree offered: Master of Science

Language: English; TOEFL iBT 90 or IELTS Academic 6.5

Instruction: English

Required skills
  • Solid foundation in general undergraduate mathematics
  • Ability to handle abstract mathematical concepts and proofs
  • Capacity for analytical problem-solving in applied contexts
Nice to have
Prior coursework in statistics or probability theoryBasic programming or computational software experience
Eligibility
  • Open to applicants from all countries holding an eligible Bachelor's degree

Funding & terms

Type
Unknown
Amount
—
Duration
4 semesters
Programme
—

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
Not confirmed by the source
Funding
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How to apply

Deadline: 15 April (winter semester) / 15 October (summer semester)

Prepare your academic transcripts, English proficiency test scores, and letter of motivation, then submit your application through the university's online applicant portal before the semester deadline.

Documents required
  • BSc degree certificate
  • BSc academic transcripts
  • English language certificate
  • Letter of motivation
↗Check programme and admissions

Contact

Lab
Faculty of Mathematics and Computer Science
TU Bergakademie Freiberg
Germany
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