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Computational Science and Engineering● OpenMastersPreview

Master of Science in Computational Science and Engineering (CSE)

A comprehensive Master's programme focused on scientific computing, numerical methods, and high-performance computing applications.

Best for:Best for students with a strong background in science or engineering, solid mathematics, and proficiency in modern programming languages.

Technical University of Munich · Garching b. München, Germany · R1 · First-stage researcher
More professors at Technical University of Munich
Scientific ComputingHigh-Performance ComputingNumerical AnalysisComputational Fluid DynamicsSoftware EngineeringData-Driven Simulation
This is a masters position — not a PhD studentship.
Deadline
Register by 31 May 2027
Funding
—
0 EUR for EU/EEA students; 6,000 EUR per semester for non-EU students
Start date
Winter semester
Full-time
Location
Garching b. München
Germany

Overview

The Master of Science in Computational Science and Engineering (CSE) at the Technical University of Munich is a full-time, four-semester programme designed to equip students with advanced skills in scientific computing. The curriculum integrates coursework in computer science, applied mathematics, and numerical methods with a specialized application area, such as fluid mechanics or computational medicine. Students complete 120 ECTS credits, including a 30-credit Master's thesis, preparing them for professional roles in research and industry. The programme is taught entirely in English and attracts a diverse international cohort.

Computational ScienceEngineeringScientific ComputingHPCNumerical MethodsMaster of ScienceTUM

What you'll do

  • Complete 90 credits of coursework across scientific computing, computer science, and applied mathematics modules.
  • Select and complete an application area module, such as computational physics or medicine.
  • Engage in practical laboratory courses and seminars focused on scientific computing.
  • Conduct independent research to produce a 30-credit Master's thesis.
  • Participate in elective courses covering parallel programming, visualization, and stochastic methods.

Requirements

Degree required: Bachelor's, Master's, or Diplom degree in a science or engineering field

Degree offered: Master of Science

Language: English; C1 level required (e.g., IELTS 6.5, TOEFL iBT 88)

Instruction: English

Required skills
  • Solid background in mathematics
  • Proficiency in a modern programming language
  • Academic background in science or engineering
  • English language proficiency at C1 level
Nice to have
Experience with parallel programmingFamiliarity with numerical analysisBackground in high-performance computing
Eligibility
  • Outstanding academic results in a relevant Bachelor's or equivalent degree

Funding & terms

Type
Unknown
Amount
0 EUR for EU/EEA students; 6,000 EUR per semester for non-EU students
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
Not confirmed by the source
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: 2027-05-31

Applications must be submitted through the official university portal. Applicants should ensure they meet all academic and language requirements before the deadline.

Documents required
  • Academic transcripts
  • Language proficiency certificate
  • CV
  • Statement of purpose
↗Check programme and admissions

Contact

Lab
School of Computation, Information and Technology
Technical University of Munich
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.