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Applied Mathematics● OpenMastersPreview

MSc Computational and Applied Mathematics (CAM)

Master mathematical modelling, scientific computing, and optimisation at FAU Erlangen-Nürnberg.

Best for:Best for Bachelor's graduates in mathematics or related quantitative fields aiming to specialise in numerical simulation and mathematical optimisation.

FAU Erlangen-Nürnberg · Erlangen, Germany · R1 · First-stage researcher
More professors at FAU Erlangen-Nürnberg
Mathematical ModellingScientific ComputingNumerical AnalysisOptimisationContinuum Mechanics
This is a masters position — not a PhD studentship.
Deadline
Register by 15 January 2027 + 1 more
Funding
Scholarship
4 semesters
Start date
Winter and summer semester
Full-time
Location
Erlangen
Germany

Overview

The Master of Science in Computational and Applied Mathematics (CAM) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is a comprehensive full-time programme designed to address modern challenges in applied mathematics and scientific computing. Spanning four semesters, the curriculum equips students with rigorous foundations in mathematical modelling, applied analysis, and high-performance computing before allowing specialisation in areas such as continuum mechanics, numerical simulation, and mathematical optimisation. Students benefit from a structured mentorship program with department lecturers and conclude the degree with an independent research-based Master's thesis. The programme prepares graduates for advanced careers in research, industry, and technology sectors.

applied mathematicscomputational mathematicshigh-performance computingnumerical simulationmathematical modellingpartial differential equationsoptimisation

What you'll do

  • Complete rigorous coursework in modelling, applied analysis, and supercomputer programming architectures
  • Participate in practical laboratory sessions focused on mathematical simulation and optimisation
  • Select mandatory elective modules to specialise in chosen branches of applied mathematics
  • Conduct an independent research project and author a Master's thesis under faculty guidance
  • Present research findings during a formal Master's colloquium

Requirements

Degree required: Bachelor's degree in mathematics or a closely related field with substantial mathematical content (at least 45 ECTS)

Degree offered: Master of Science

Language: English; B2 level required via an official certificate such as TOEFL Essentials (8), IELTS Academic (5.5), or Cambridge English B2 First

Instruction: English

Required skills
  • Solid foundational knowledge in mathematical modelling and applied analysis
  • Proficiency in programming and computing concepts for scientific applications
  • Ability to analyse and interpret mathematical properties of models
  • Competency in discussing mathematical concepts and research in English
Nice to have
Prior coursework in functional analysis or the theory of differential equationsBackground in numerical analysis or mathematical optimisation
Eligibility
  • Applicants must hold a qualifying Bachelor's degree with at least 45 ECTS in mathematics

Funding & terms

Type
Scholarship
Amount
—
Duration
4 semesters
Programme
FAU Erlangen-Nürnberg
FAU Erlangen-Nürnberg

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

Applicants must submit their application documentation through the FAU Campo portal during the specified application windows. Non-EU applicants should note the relevant application periods and ensure all language and degree requirements are met.

Documents required
  • BSc degree certificate and transcripts
  • Official English language proficiency certificate
↗Check programme and admissions

Contact

Lab
Department of Mathematics
FAU Erlangen-Nürnberg
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.