Computational Fluid Dynamics (CFD) has the potential and flexibility to model a diverse spectrum of engineering and physical problems. The goals of CFD are to be able to accurately predict fluid flow, heat transfer and chemical reactions in complex systems, which involve one or all of these phenomena.
CFD has developed at an incredible rate over the past decades and is now being applied to industrial applications in areas ranging from air flow over a wind turbine blade, to space shuttle aerodynamics, from combustion in a jet engine to flow and consumption of hydrogen in a fuel cell, from optimising a biomass furnace to modelling biogas production from wastewater plants, from modelling underwater landslides to modelling the spread of airborne infections around a hospital ward. Presently, CFD is being increasingly employed by many industries either to reduce manufacturing design cycles or to provide an insight into existing technologies so that they may be analysed and improved.
This course provides the high level of training required for individuals to be able to provide CFD skills, experience and understanding required by industry. Taught modules are integrated with laboratory and computational work. Sample modules include: incompressible flow; compressible flow and reaction fronts and ignition; finite differences; visualisations and high performance computing; laminar and turbulent flows; commercial CFD software and finite elements and boundary elements.
You will be based in the Centre for Computational Fluid Dynamics which has one of the largest CFD active postgraduate centres in Europe. The centre has broad expertise in CFD research, both being leaders in the development of in house CFD code and in the application of a wide range of commercial CFD software.
As the Centre for CFD has strong links with Ansys who provide two of the leading commercial CFD software packages (Fluent and CFX), you will receive as part of the MSc certified training from Ansys's senior development engineers.
Find out more about the course modules .
Typical careers
Successful students from this course will be in an ideal position to take advantage of a flexible engineering job market, as well as being seen as strong candidates by employers for a wide range of industries including construction, power generation, the environmental sector as well as other engineering disciplines.
A number of our MSc graduates choose to go on to study towards a PhD, making use of their CFD knowledge to go on to undertake research in areas such as combustion research, renewable and alternative energy, medical engineering, environmental building design, environmental research as well as wide variety of other engineering projects.
Fact file
| Delivery options | Full time |
|---|---|
| Typical offer | A degree equivalent to a UK Second Class (2.2) honours degree or higher in subjects allied to those of the constituent Departments/Schools/Institutes of the Centre and no previous knowledge of CFD is required. There is also provision for suitably qualified applicants wishing to benchmark on the course part-time. |
| English language requirements | A pass at GCSE level in English Language (grade C or above). International students must have an English language qualification at a suitable level, for example IELTS 6.0 or equivalent |
| Course Fees | Fees for 2009/10 are: Home/EU: £3390 Overseas: £13300.00 |
Further information
If you have any queries or require any further information, please contact Lindsay Morris from our postgraduate admissions team. e: tpgspemeadmissions@leeds.ac.uk t: +44(0)113 343 2343
For informal enquiries contact: Dr Duncan Borman, d.j.borman@leeds.ac.uk
How to apply
To apply please complete a postgraduate taught course application form. You can apply on-line by visiting the University admissions website or download an application form and return it either via email Engineering PGT Admissions Hub or post to:
Engineering PGT Admissions Hub
Faculty of Engineering
University of Leeds
LS2 9JT
This course is part of the School of Process, Environmental and Materials Engineering
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