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Computational Science and Engineering● OpenMastersPreview

Master's Program in Computational Science and Engineering

An interdisciplinary Master's program combining simulation, high-performance computing, and applied engineering.

Best for:Best for Bachelor's graduates in basic sciences or engineering looking to specialize in simulation, high-performance computing, and data science.

Ecole Polytechnique Fédérale de Lausanne · Switzerland · R1 · First-stage researcher
More professors at Ecole Polytechnique Fédérale de Lausanne
High-Performance ComputingNumerical AlgorithmsContinuum MechanicsData ScienceSimulation-Based Engineering
This is a masters position — not a PhD studentship.
Deadline
December 15, March 31
Funding
—
2 years
Start date
—
Location
Switzerland
on-site

Overview

The Master in Computational Science and Engineering at École Polytechnique Fédérale de Lausanne educates students in simulation-based engineering science. The curriculum equips learners with foundational skills in numerical algorithms, continuum mechanics, and data visualization, alongside advanced high-performance computing tools. Students can choose from multiple specialization areas in computational modeling, differential equations, and data science, culminating in an industrial internship and a research thesis. This 120 ECTS program provides a collaborative environment enriched by institutions such as CECAM and CADMOS.

Computational ScienceEngineeringHPCNumerical MethodsMaster's DegreeEPFLSimulation

What you'll do

  • Complete 30 ECTS of core courses covering numerical algorithms, modelling, and visualization
  • Select 30 ECTS of optional courses in computational modeling, algorithms, or data science
  • Undertake semester projects including an industrial internship
  • Conduct an independent scientific Master's thesis within a research laboratory

Requirements

Degree required: Bachelor's degree in Basic Sciences or Engineering

Degree offered: Master of Science MSc in Computational Science and Engineering

Language: English

Instruction: English

Required skills
  • Foundational knowledge in basic sciences or engineering
  • Understanding of mathematical and numerical concepts
  • Aptitude for computational modeling and programming
Nice to have
Prior coursework in linear algebra or differential equationsExperience with programming languages such as C++ or Python
Eligibility
  • Holders of a Bachelor's degree in Basic Sciences or Engineering

Funding & terms

Type
Unknown
Amount
—
Duration
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
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: December 15, March 31

Applications must be submitted online through the official EPFL master's admissions portal. Ensure all required academic transcripts and supporting documents are provided before the specified deadlines.

Documents required
  • BSc transcripts
  • Degree certificate
  • CV
  • Motivation letter
↗Check programme and admissions
Lab
School of Basic Sciences
Ecole Polytechnique Fédérale de Lausanne
Switzerland
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.