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- MSc by Research in Energy Efficient Aerospace and Automotive Structures - Multidisciplinary Optimisation
MSc by Research in Energy Efficient Aerospace and Automotive Structures - Multidisciplinary Optimisation
Course options
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Qualification
MRes - Master of Research
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Location
Leeds, Main
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Study mode
Full time
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Start date
08-DEC-25
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Duration
1 Year
Course summary
Optimisation is a methodology, which allows any performance measure of a process or a product to be maximised or minimised, allowing any resources required to be efficiently used with minimal impact on the environment. Multidisciplinary optimisation is a methodology which uses the interdisciplinary interactions of the applications of a structure, component, system, process or design in order to improve its overall performance. If performance evaluation of the object/process requires significant computing time, it is necessary to develop and use metamodels. They allow the complex behaviour of the system to be represented with simpler, computationally inexpensive and relatively noise free models obtained, for example, by Genetic Programming, Moving Least Squares Method or based on the interaction of low- and high-fidelity simulation models. Different optimisation techniques including evolutionary algorithms and gradient-based methods can then be used to find the optimum on these metamodels. Such models are also applicable for stochastic analysis and optimisation, where for example a large Monte Carlo simulation can be performed to assess reliability and robustness of a system or a process.
Tuition fees
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£ 31,000per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information

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University League Table
21st
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Campus address
University of Leeds, Woodhouse Lane, Leeds, Leeds, LS2 9JT, England
Subject rankings
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Subject ranking
13th out of 33 3
7th out of 74 2
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Entry standards
/ Max 218170 78%7th
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Graduate prospects
/ Max 10073.0 73%24th
4 -
Student satisfaction
/ Max 43.01 75%19th
3 -
Entry standards
/ Max 222183 82%9th
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Graduate prospects
/ Max 10087.0 87%22nd
1 -
Student satisfaction
/ Max 42.96 74%48th
4