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Different course options

Study mode

Full time

Duration

1 year

Start date

16-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Computer Aided Engineering Computational Physics

Course type

Taught

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)

Modules

The module is an intensive research module that spans all three MSc semesters. It draws together the knowledge and skills from the taught component to address a research challenge of significant scope to be undertaken independently, under supervision. It focuses on the technical, project management and communication skills needed to successfully execute academic- and/or industry-oriented research. The project entails to apply research methods to solve original problems of fundamental or applied nature.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£12,650

International fees
Course fees for EU and international students

For this course (per year)

£28,900

Entry requirements

Students need to have a good 2:2 or above at undergraduate level in Engineering, Physics, Mathematics, Computer Science or a related discipline. IELTS 6.5 overall including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking. If you're an international student you'll need to get ATAS (Academic Technology Approval Scheme) approval.

University information

Queen Mary University of London (QMUL) is an internationally regarded public research institution based in London. It has a long history, dating back over 230 years, and is a member of the prestigious Russell Group of universities. Queen Mary has five campuses in the city of London and an international network of satellite campuses in China, Malta, Paris and Singapore. There is a population of around 16,000 students at the London campuses and...more