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1 Years On Campus Masters Program
Technical University of ValenciaThe Master’s Degree in Computational Fluid Dynamics at Universitat Politècnica de València is a 1.5-year, 90-ECTS, face-to-face master’s degree taught in English. It provides advanced training in computational methods for fluid mechanics and their application to complex engineering and industrial problems. The programme combines numerical simulation, modelling and practical engineering applications.
Curriculum Structure:
Year 1: Students study advanced fluid mechanics, computational fluid dynamics, numerical methods, mathematical modelling, scientific computing and simulation, supported by specialised and elective courses.
Year 2: Students complete the remaining specialised coursework and a 12-ECTS Master’s Thesis, applying computational fluid-dynamics methods to an advanced engineering or research problem.
Focus Areas: Computational Fluid Dynamics, Fluid Mechanics, Numerical Methods, Mathematical Modelling, Simulation, Scientific Computing, Aerodynamics, Optimisation and Engineering Applications.
Learning Outcomes: Graduates develop the ability to formulate and solve complex fluid-flow problems, apply advanced numerical and computational techniques, interpret simulation results and use modelling tools for engineering analysis and optimisation.
Professional Alignment (Accreditation): The programme provides specialised postgraduate education in computational fluid dynamics and numerical engineering methods, preparing graduates for professional and research-oriented work in technology-intensive sectors.
Reputation (Employability): The programme develops advanced computational and simulation skills applicable to aerospace, automotive, energy and other engineering industries, supporting careers in engineering, technological innovation and research.
The programme combines theoretical knowledge with computational practice and engineering applications. Students develop practical skills by applying numerical methods and simulation techniques to real fluid-flow and engineering problems.
Key aspects of experiential learning include:
Computational Projects: Students apply CFD and numerical techniques to complex engineering problems.
Simulation & Modelling: Practical work develops skills in mathematical modelling, numerical simulation and analysis.
Engineering Applications: Students apply computational methods to areas such as aerospace, automotive and energy.
Research-Based Learning: Students develop analytical and research skills through advanced computational work.
Master’s Thesis: The final thesis allows students to conduct an individual advanced project in computational fluid dynamics.
Scientific Computing: Students gain experience with computational tools and techniques used for engineering analysis.
These activities strengthen the practical and analytical skills required for advanced CFD and engineering roles.
The programme provides graduates with specialised computational skills that can be applied across several engineering and technology sectors. Its strong focus on simulation and numerical analysis also supports progression into research and advanced technical roles.
Key opportunities include:
Aerospace Industry: Opportunities in aerodynamics, aircraft design, propulsion, fluid mechanics and aerospace simulation.
Automotive & Energy: CFD and simulation skills can be applied to vehicle development, energy systems and thermal-fluid engineering.
Research & Development: Graduates can work on advanced modelling, simulation, optimisation and engineering innovation.
Computational Engineering: The programme supports specialised roles involving numerical methods, scientific computing and engineering simulation.
Further Academic Progression: Graduates can progress to doctoral studies and research in computational fluid dynamics, fluid mechanics, applied mathematics and related engineering fields.
The combination of advanced CFD knowledge and computational skills provides flexible opportunities across engineering, technology and research sectors.
Campus Location UPV Valencia Campus Site, Valencia, Spain
Applicants whose native language is not English must submit an English B2 certificate from a certifying body recognised in the ACLES tables.
Applicants are ranked by weighted score, and offers are made in priority order up to the available places.
The academic transcript is evaluated and carries a 40–60% weight in the final assessment.
PTE Academic overall 59 or higher, with ACLES mapping PTE Academic 59–75 to B2. India: Not Officially Listed. Minimum Academic Standard (Official): Relevant Aerospace, Mechanical, Industrial Technologies, Engineering and Architecture, Industrial, or Aeronautical degree.China: Not Officially Listed. Minimum Academic Standard (Official): Relevant Aerospace, Mechanical, Industrial Technologies, Engineering and Architecture, Industrial, or Aeronautical degree.USA: Not Officially Listed. Minimum Academic Standard (Official): Relevant Aerospace, Mechanical, Industrial Technologies, Engineering and Architecture, Industrial, or Aeronautical degree.UK: Not Officially Listed. Minimum Academic Standard (Official): Relevant Aerospace, Mechanical, Industrial Technologies, Engineering and Architecture, Industrial, or Aeronautical degree.Computational Fluid Dynamics EngineerCFD EngineerAerodynamics EngineerFluid Dynamics EngineerComputational EngineerSimulation EngineerNumerical Modelling EngineerAerospace EngineerAerothermal EngineerAerospace R&D EngineerAutomotive Simulation EngineerEnergy Systems Engineer
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