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Computational Science● OpenMastersPreview

Computer Simulation in Science (MSc)

An interdisciplinary Master's programme focused on developing and applying advanced computer simulation techniques to modern research problems.

Best for:Best for students with a strong background in natural sciences or engineering who wish to specialize in computational simulation and modeling.

University of Wuppertal · Wuppertal, Germany · R1 · First-stage researcher
More professors at University of Wuppertal
Atmospheric PhysicsComputational Fluid MechanicsMolecular and Materials ModellingTheoretical Particle PhysicsComputational ElectromagneticsComputational Finance
This is a masters position — not a PhD studentship.
Deadline
Register by 31 March 2027
Funding
—
4 semesters
Start date
Winter semester
Full-time
Location
Wuppertal
Germany

Overview

The Master of Science in Computer Simulation in Science (CSiS) at the University of Wuppertal is a full-time programme dedicated to the development and implementation of computational methods for natural sciences and engineering. Students select a specialized field, such as atmospheric physics, computational fluid mechanics, or molecular modelling, and engage in rigorous coursework and independent research. The curriculum emphasizes practical experience through extensive computer lab courses and the use of dedicated high-performance computing resources. Graduates are expected to demonstrate independent working skills and proficiency in applying simulation techniques to complex scientific challenges.

Computer SimulationScientific ComputingComputational ScienceNumerical MethodsHigh-Performance ComputingMathematical Modelling

What you'll do

  • Participate in mandatory advanced coursework within the chosen specialization.
  • Develop independent and responsible research and working skills.
  • Complete substantial weekly homework assignments across all modules.
  • Deliver academic presentations as part of the preparation for the Master's thesis.
  • Engage in extensive computer lab courses using dedicated high-performance computing infrastructure.
  • Complete a two-week block course on mathematical foundations prior to the start of the semester.

Requirements

Degree required: Bachelor's degree or German Diplom in applied science, chemistry, electrical engineering, computational finance, mathematics, mechanical engineering, physics, safety engineering, or a related field (minimum 180 ECTS).

Degree offered: MSc

Language: English; B2 level required (e.g., IELTS 6.0, TOEFL iBT 79, or equivalent).

Instruction: English

Required skills
  • Advanced knowledge in the chosen field of specialization.
  • Mathematics proficiency corresponding to a Bachelor of Science or Engineering.
  • Proficiency in at least one programming language (minimum 8 ECTS).
  • Successful completion of the mandatory self-assessment for programming and specialization skills.
Nice to have
Prior experience with numerical simulation software.Familiarity with high-performance computing environments.
Eligibility
  • Applicants from the PRC, Mongolia, Vietnam, and India must provide an APS certificate.
  • Non-German citizens must submit a completed application form.

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
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Funding
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How to apply

Deadline: 2025-03-31

Applications must be submitted via the uni-assist portal. Applicants should review the specific document requirements on the programme website and ensure all mandatory self-assessments are completed.

Documents required
  • Academic transcripts
  • Bachelor's degree certificate
  • English language proficiency certificate
  • APS certificate (for specific countries)
  • Completed application form
↗Check programme and admissions

Contact

Lab
School of Mathematics and Natural Sciences
University of Wuppertal
Germany
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