Computational Fluid Dynamics Cranfield University

Overview

The global demand for specialists in computational fluid dynamics (CFD) is on the rise, driven by the need for professionals with both practical and theoretical expertise. The MSc in Computational Fluid Dynamics at Cranfield University is meticulously designed to provide students with the foundational knowledge necessary for a successful career in this exciting engineering discipline. Throughout the course, students will learn to understand, develop, and implement CFD methods applicable to a diverse range of fields, including aerospace, multi-phase flow, heat transfer, biomedical flows, and fluid-structure interactions.

Commencing in October, the programme can be pursued full-time over one year or part-time over a maximum of three years. The curriculum comprises a balanced structure, with 40% dedicated to taught modules, 40% to an individual research project, and 20% to a group project. This blend ensures that students not only gain theoretical knowledge but also practical experience in applying CFD techniques to real-world problems.

Why Computational Fluid Dynamics at Cranfield University?

Cranfield University is renowned for its strong emphasis on industry collaboration, ensuring that the educational materials are not only current but also relevant to the needs of organisations operating in the computational analysis sector. The university has been ranked 27th globally in the QS World University Rankings for Engineering – Mechanical, Aeronautical and Manufacturing, highlighting its commitment to academic excellence. Students benefit from strategic partnerships with leading companies, including Red Bull F1, Airbus, and the European Space Agency, providing invaluable networking opportunities and insights into industry practices.

Tuition Fee Breakdown

The tuition fees for the MSc in Computational Fluid Dynamics are as follows:

• International students: £27,910 per year
• Domestic students: £12,505 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The course structure includes a variety of modules that provide a comprehensive understanding of computational fluid dynamics:

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

Each module is designed to enhance students' skills in both theoretical and practical aspects of CFD, preparing them for various challenges in the field.

Careers with Computational Fluid Dynamics

Graduates of the MSc programme are highly sought after in various sectors, including aerospace, automotive, and energy. Alumni have successfully secured positions such as CFD Engineers, Aerodynamics Engineers, and Application Engineers within prestigious companies like BAE Systems, Rolls-Royce, and Jaguar Land Rover. The course also prepares students for further academic pursuits, with many choosing to continue to PhD studies based on their individual research projects.

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