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Geophysics and Computational Geosciences● OpenMastersPreview

MSc in Computational Geology and Geophysics (CGG)

Interdisciplinary Master’s specialisation blending geosciences with computational techniques for subsurface modelling and geophysical data analysis.

Best for:Best for geoscience graduates, physics or data science bachelor holders with strong computational skills seeking to specialise in geophysical modelling and subsurface data analysis.

RWTH Aachen University · Aachen, Germany
More professors at RWTH Aachen University
subsurface modellinggeophysical data analysisnumerical modelling in geosciencesartificial intelligence applications in Earth sciencessustainable resource explorationrenewable energy geoscience
This is a masters position — not a PhD studentship.
Deadline
Register by 15 January 2027 + 3 more
Funding
Unfunded
4 semesters (2 years)
Start date
Winter or Summer semester (flexible)
Full-time
Location
Aachen
Germany

Overview

The Computational Geology and Geophysics (CGG) specialisation at RWTH Aachen University offers a Master of Science programme focused on advanced computational methods for geoscience applications. Students gain expertise in geophysical data interpretation, numerical modelling, and spatial data analysis, with a strong emphasis on real-world challenges like sustainable resource exploration and renewable energy. The curriculum combines core geoscientific knowledge with programming, AI, and statistical tools, culminating in a thesis project tailored to individual interests. This programme is ideal for graduates with backgrounds in geosciences, physics, or data sciences seeking to bridge computational techniques with Earth system analysis.

MSc Computational Geologygeophysical modellingsubsurface data analysisgeospatial AInumerical modellinggeoscience data sciencegeophysicscomputational geosciences

What you'll do

  • Develop and apply computational methods to analyse complex geological and geophysical data sets.
  • Engage in hands-on projects addressing real-world challenges in subsurface modelling and resource exploration.
  • Conduct independent research for a Master’s thesis, selecting a topic aligned with personal interests and programme specialisations.
  • Collaborate with international partners and guest lecturers on interdisciplinary geoscience projects.
  • Utilise programming, statistical analysis, and AI tools to visualise and interpret geospatial data.
  • Participate in elective modules to tailor a personalised professional profile within the geoscience and computational fields.

Requirements

Degree required: Bachelor of Science or Engineering with at least 180 ECTS in geosciences, earth sciences, geology, mineralogy, crystallography, physics, or data sciences.

Degree offered: Master of Science (MSc)

Language: English proficiency at B2 level (IELTS Academic: 6.0, TOEFL iBT: 4.0 in each section, or equivalent).

Instruction: English

Required skills
  • Proven background in geosciences or physics with relevant coursework in natural sciences and mathematics.
  • Strong computational skills, including programming proficiency (e.g., Python, R, or similar).
  • Experience with geophysical data analysis or numerical modelling (preferred for admission).
  • Basic knowledge of statistics and data visualisation techniques.
  • Ability to conduct independent research and write a Master’s thesis.
Nice to have
Experience with machine learning or AI applications in geoscience.Familiarity with geospatial software (e.g., GIS, QGIS, or similar).Prior exposure to fieldwork or geoscientific data collection.
Eligibility
  • No minimum German language proficiency required.
  • Applicants must meet one of two profiles: (1) Geosciences profile with 20 ECTS in natural sciences, 80 ECTS in geosciences, and 5 ECTS in geoscientific field education; or (2) Physics/Data Sciences profile with 20 ECTS in mathematics and 30 ECTS in physics/data science.
  • No nationality restrictions, but deadlines vary for EU/non-EU applicants.

Funding & terms

Type
Unfunded
Amount
—
Duration
4 semesters (2 years)
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
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Duration
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Taught / research mode
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Tuition
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How to apply

Deadline: 15 January (EU/Iceland/Norway/Liechtenstein, Summer Semester) / 1 September (Non-EU, Summer Semester) / 15 July (EU/Iceland/Norway/Liechtenstein, Winter Semester) / 1 March (Non-EU, Winter Semester)

Applicants must submit their application through the official RWTH Aachen University portal for international Master’s students. Required documents include a completed application form, proof of English proficiency, academic transcripts, a CV, and a letter of motivation. Additional documents may be requested based on the chosen admission profile.

Documents required
  • Completed application form
  • Proof of English proficiency (B2 level)
  • Academic transcripts and degree certificate
  • CV (Curriculum Vitae)
  • Letter of motivation
  • Proof of relevant coursework (20 ECTS in natural sciences/geosciences or 20 ECTS in mathematics/physics)
  • Passport-sized photograph
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Contact

Lab
Computational Geology and Geophysics (CGG) specialisation
RWTH Aachen University
Germany
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