12 months
Duration
22150 GBP/year
10825 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The Computational Fluid Dynamics programme offered by the Cranfield University is designed to reflect the wide applications of Computational Fluid Dynamics.

Visit the official programme website for more information

Overview

Key facts

There is an increasing demand for CFD specialists with practical and technical knowledge. This Computational Fluid Dynamics programme offered by the Cranfield University  will enable you to gain the knowledge and appreciation necessary for a strong foundation to a career in this exciting engineering discipline. 

You will learn to understand, write and apply CFD methods across a broad range of fields, from aerospace, turbomachinery, multi-phase flow and heat transfer to microflows, environmental flows and fluid-structure interaction problems. Personalise your course by choosing from a range of specialist modules covering application-specific methods and techniques.

Why this course?

The Computational Fluid Dynamics programme offered by the Cranfield University provides a solid background so that you will be able to apply CFD methods as a tool for design, analysis and engineering applications. 

With a strong emphasis on understanding and application of the underlying methods, enthusiastic students will be able to write their own CFD codes during the course.

Sharing modules with several MSc programmes within the school, this enables you to interact with students from other disciplines. In recent years, our students have been had the opportunity for work-based placements at the Aircraft Research Association (ARA), AIRBUS, European Space Agency (ESA), Ricardo and DAF Trucks.

Careers

Strategic industrial links ensure that the course meets the needs of the organisations competing within the computational sector therefore making our graduates some of the most desirable in the world for companies to recruit. An increasing demand for CFD specialists with in depth technical knowledge and practical skills within a wide range of sectors has seen our graduates employed by leading companies including:

  • Alstom
  • BAE Systems
  • Cummins Turbo Technology
  • BHR
  • ESTEC
  • Hindustan Aeronautics Ltd
  • NUMECA
  • ONERA
  • Rio Tinto
  • Rolls-Royce plc

Accreditation

 

Programme Structure

Courses include:

  • Fluid Mechanics and Heat Transfer
  • Numerical Methods and High Performance Computing
  • Numerical Modelling for Incompressible Flows
  • Numerical Modelling for Compressible Flows
  • Turbulence Modelling
  • Grid Generation / CAD
  • Data Analysis and Uncertainty
  • The Role of Experimental Data in CFD

Audience

 

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 36 months
    • Flexible

Start dates & application deadlines

More details

Although there are no set application deadlines, we recommend that you apply as early as possible to secure your place.

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Lower Second Class

Other requirements

General requirements

  • A first or second class UK Honours degree or equivalent in mathematics, physics, computing or an engineering discipline. 

Tuition Fee

To alway see correct tuition fees
  • International

    22150 GBP/year
    Tuition Fee
    Based on the tuition of 22150 GBP for the full programme during 12 months.
  • National

    10825 GBP/year
    Tuition Fee
    Based on the tuition of 10825 GBP for the full programme during 12 months.

 

Living costs for Cranfield

700 - 1300 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Computational Fluid Dynamics
-
Cranfield University

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