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- Queen Mary University of London
- Computational Engineering MSc
Course options
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Qualification
MSc - Master of Science
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Location
Mile End
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Study mode
Full time
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Start date
16-SEP-24
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Duration
1 year
Course summary
Computer simulation is an increasingly important field within engineering. Virtual prototyping, based on the numerical analysis of structures, fluids and many other disciplines, has become central to the industrial design and analysis process.
This MSc programme is for students with maths, physics, computing or engineering backgrounds, who want to forge careers in the fast-growing field. You can tailor your degree to build on your experience, choosing modules that reflect your interests and chosen specialism.
- Gain a solid background in computational and numerical methods, and learn programming.
- Get involved in internationally-leading research at a top UK university.
- Professionally accredited by the Royal Aeronautical Society, demonstrating that our curriculum is closely aligned to industry needs.
- Work within our high performance computing facilities, using industry-standard software packages such as Ansys, Siemens etc.
What you'll study
On this course, you’ll be supported to acquire advanced skills in the computational modelling of structures and fluids. You’ll also be introduced to programming and numerical algorithms. A particular strength of this course is its broad teaching of numerical optimisation, a topic of significant industrial interest.
You can choose to specialise in either aeronautical, mechanical, chemical or sustainable energy engineering, by taking advanced modules in that field.
You’ll then apply your numerical analysis skills to an engineering problem in your specialism, in order to complete your MSc project. You’ll be supervised by one of our research staff and have access to our excellent facilities to carry out your work.
We benefit from generous research funding, and have strong links with companies such as Airbus, Alstom and Rolls Royce.
Teaching
You’ll be taught by staff with a wide variety of industry and research experience in areas such as nuclear reactors, renewable energy, computational fluids, thermal energy and digital twins. Staff are fellows and members of the Engineering and Physical Sciences Research Council, the Aeronautical Society, The American Institute of Aeronautics and Astronautics, and The Royal Society.
Our academic research feeds into our teaching at all levels, ensuring you share in the latest advancements.
Facilities
- Computational Modelling Facilities
- Queen Mary Supercomputing Facilities
- Mechanical Testing Facilities
- Two-Phase Flow and Heat Transfer Labs
- Whitehead Aeronautical Laboratory
- Wind Tunnels - High Speed, Low Speed, Acoustics Research Rig
- Workshops for Engineering Manufacture
Career paths
Graduates from postgraduate Engineering and Materials Science programmes have gone onto a diverse range of job roles, including:
- Data Engineer
- Software Engineer
- Systems Engineer
- Data Analyst
- Engineer Analyst
- Apprentice Game Programmer
- DevOps Engineer
- Investment Banking Analyst
At organisations including:
- Accenture
- Amazon
- Bank of America
- BAE Systems
- Boeing
- British Airways
- Cisco
- Deloitte
- IBM
- Jaguar Land Rover
- Qinetiq
- NHS
- Vodafone
Our Industrial Liaison Forum gives you a chance to network with our industrial partners and build your professional contacts while at university.
- 96% of Engineering and Materials Science postgraduates are in employment or study 15 months after graduation (GOS, 2019/20)
- 95% of those postgraduates are in highly skilled roles (GOS, 2019/20)
Application deadline
08 September 2023
Modules
Tuition fees
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- Guyana
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- Swaziland
- Sweden
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£ 28,900per 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
53rd
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Campus address
Queen Mary University of London, Admissions and Recruitment Office, Mile End Road, London, Tower Hamlets, E1 4NS, England
Subject rankings
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Subject ranking
15th out of 33 1
42nd out of 48 6
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Entry standards
/ Max 218148 68%13th
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Graduate prospects
/ Max 10066.0 66%21st
2 -
Student satisfaction
/ Max 53.61 72%25th
3 -
Entry standards
/ Max 231141 62%33rd
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Graduate prospects
/ Max 10064.0 64%43rd
6 -
Student satisfaction
/ Max 53.71 74%39th
1