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Computational Science● OpenMastersPreview

Computational Molecular and Materials Science (MSc)

An interdisciplinary Master's programme focusing on computational modelling, simulation, and data-driven design of molecules and materials.

Best for:Best for students with a background in chemistry, physics, or molecular science seeking to specialise in computational modelling and simulation.

FAU Erlangen-Nürnberg · Erlangen, Germany · R1 · First-stage researcher
More professors at FAU Erlangen-Nürnberg
Computational ChemistryMaterials SimulationQuantum MechanicsData ScienceMachine LearningNanotechnology
This is a masters position — not a PhD studentship.
Deadline
Register by 15 July 2026
Funding
—
4 semesters
Start date
Winter semester
Location
Erlangen
Germany

Overview

The Master's programme in Computational Molecular and Materials Science at FAU Erlangen-Nürnberg offers an interdisciplinary curriculum at the intersection of chemistry, physics, materials science, and computer science. Students engage with modern computational approaches, including quantum mechanical methods, multiscale simulations, and machine learning, to address challenges in areas like energy storage, drug design, and nanotechnology. The programme balances foundational academic training with practical research projects and individual specialisation. Graduates are prepared for advanced research careers in both academia and industry. The course is conducted entirely in English and requires a mix of on-site and online attendance.

Computational ModellingMolecular ScienceScientific ComputingMultiscale SimulationMaterials DesignDrug DesignEnergy Conversion

What you'll do

  • Complete foundational alignment modules to establish a common academic base.
  • Master core techniques in modelling, simulation, and scientific computing.
  • Participate in practical courses to apply computational methods to real-world problems.
  • Conduct an independent research project within a research group.
  • Author a Master's thesis based on original scientific work.
  • Engage with current research developments through the Master's seminar.

Requirements

Degree required: Bachelor’s degree in Chemistry, Molecular Science, Physics, or a closely related field.

Degree offered: Master of Science

Language: English; CEFR B2 level or equivalent (waived if previous degree was entirely in English).

Instruction: English

Required skills
  • Foundational knowledge in Quantum Mechanics (min 5 ECTS)
  • Academic background in Chemistry or Molecular Science (min 5 ECTS)
  • Proficiency in Mathematics or Physics (min 5 ECTS)
  • English language proficiency at CEFR level B2 or equivalent
Nice to have
Experience with numerical techniquesFamiliarity with programming for scientific applicationsPrior exposure to data-driven methods
Eligibility
  • Bachelor's degree from a recognised university
  • For non-completed degrees: completion of at least 135 ECTS at time of application
  • Applicants from non-Lisbon Recognition Convention countries may require GRE Physics or GATE Chemistry scores

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
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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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How to apply

Deadline: 2025-07-15

Applications must be submitted through the official FAU master's portal. Candidates may be invited to an oral interview conducted in English to assess subject-specific knowledge and motivation.

Documents required
  • Bachelor's degree certificate
  • Academic transcripts
  • English language proficiency certificate
  • Subject-specific test results (if applicable)
↗Check programme and admissions

Contact

Lab
Faculty of Sciences
FAU Erlangen-Nürnberg
Germany
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