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Computational Fluid Dynamics (CFD) is the science of determining a numerical solution to the governing equations of fluid flow whilst advancing the solution through space and time to obtain a numerical description of the complete flow field of interest. There has been considerable growth in the development and application of CFD to all aspects of fluid dynamics leading to CFD becoming a standard modelling tool widely utilised within industry. As a consequence there is a considerable demand for specialists in the subject, to apply and develop CFD methods throughout engineering companies and research organisations. The Master of Science in Computational Fluid Dynamics course provides a solid background for graduates to be able to apply, in an educated manner, CFD as a design tool for engineering applications, providing excellent career opportunities across a broad range of industries. For graduates interested in an academic career the course provides an excellent basis from which to further specialise in the development and application of both numerical algorithms and physical models. This course has been designed to reflect the wide application of CFD. It covers a broad range of areas from aerospace, turbomachinery, multi-phase flow and heat transfer, to microflows, environmental flows and fluid-structure interaction problems. The course is organised in a modular fashion and is specifically designed to accommodate both full-time and part-time study Structure The course is made up of two components - taught modules and an individual research project. The core part of the course consists of 11 modules. These modules are considered to represent the necessary foundation subject material. The first 8 modules form the Postgraduate Certificate qualification. Core modules ? Introduction to Fluid Mechanics & Heat Transfer ? Numerical Methods for PDEs ? Numerical Modelling for Steady & Unsteady Incompressible Flows ? Numerical Modelling for Steady & Unsteady Compressible Flows ? Classical Turbulence Modelling ? Advanced Turbulence Modelling and Simulation: LES & DNS ? High Performance Computing for CFD ? Managing Uncertainty in Simulations: Validation & Verification ? Grid Generation CAD ? Data Analysis, Data Fusion & Post Processing ? The Role of Experimental Data in CFD Optional modules The course is designed to reflect the broad range of CFD applications by providing a range of optional modules to address specific application areas. MSc and PgDip students select 5 application modules from the following list: ? CFD for Aerospace Applications ? CFD for Micro and Nano Flows ? CFD for Rotating Wings ? CFD for Automotive Flows ? CFD for Multiphase Flows and Combustion ? CFD for Environmental Flows ? CFD for Fluid-Structure Flows Research projects The individual research project allows students to demonstrate the ability to critically evaluate the existing research literature, to place their research into a theoretical and practical context and to exhibit knowledge and understanding of Computational Fluid Dynamics. Research projects are offered in the areas of expertise in the Fluid Mechanics and Computational Sciences Group, Department of Aerospace Sciences. Tailored research projects can be developed to accommodate particular research interests and career aspirations of a student. Entry requirements A 1st or 2nd class UK honours degree (or equivalent) in mathematics, physics, computing or an engineering discipline. Funding For details of any bursaries that may be available please contact the Enquiries Office on the details shown below.
Computational Fluid Dynamics (CFD) is the science of determining a numerical solution to the governing equations of fluid flow whilst advancing the solution through space and time to obtain a numerical description of the complete flow field of interest. There has been considerable growth in the development and application of CFD to all aspects of fluid dynamics leading to CFD becoming a standard modelling tool widely utilised within industry. As a consequence there is a considerable demand...