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Computational Engineering Design option - Computational and Software Techniques in Engineering (MSc)

Computational Engineering Design (CED) covers the use of computers in all activities from the design to the manufacture of a product. It is at the forefront of information technology and of crucial importance to economies around the world. It is a vital part of many global industries including those of automotive, aerospace, oil, defence, finance and health. 

This specialist option of the MSc Computational and Software Techniques in Engineering has been developed to reflect the wide application of CAE and to deliver qualified engineers of the highest standard into industries operating in the fields of computational and software engineering.

Who is it for?

Suitable for candidates from a broad range of engineering and applied mathematical backgrounds, including aeronautic, automotive, mechanical and electrical engineering, in addition to those with a mathematical and computational sciences training, who wish to both develop and complement their existing skill-set in these important areas.

The specialist taught modules are designed to provide you with the knowledge, programming techniques and practical skills necessary to develop and use core CAE solution software over a wide range of industrial settings.

Why this course?

We are a leader in applied mathematics and computing applications. The CAE option benefits from the knowledge and experience gained by the staff through their strong industrial links, particularly our well-established research collaborations with the petrochemical, automotive, aeronautical and financial sectors.

This course produces well qualified graduates, ready to take on professional roles without additional training on the job. In recent years, key employers have requested a student visit to showcase their graduate roles.

This course is also available on a part-time basis, enabling you to combine studying alongside full-time employment. We are very well located for visiting part-time students from across the UK and Europe.

Informed by Industry

This course is directed by an industrial advisory panel who meet twice a year to ensure that it provides generic hands-on skills and up-to-date knowledge adaptable to the wide variety of applications that this field addresses.

A number of members also attend the annual student thesis presentations which take place at the end of July, a month or so before the end of the course. This provides a good opportunity to meet key employers.

Industry Advisory Panel members include:

  • Dr Adam Vile, Excelian
  • Mr Darren Baldwin, Excelian
  • Mr Matthew Breach, Ultra Electronics Sonar Systems
  • Mr Nigel Sedgewick, Selex
  • Dr Sanjiv Sharma, Airbus UK
  • Dr Steve King, Rolls Royce
  • Dr Julian Turnbull, Black and Veatch
  • Mr Jon Loach, FACTSET
  • Prof David Emerson (Scientific Computing, STFC Daresbury )
  • Dr Stuart Barnes (Software Engineer, Cambridge).

Your career

The Computational Engineering Design option is designed to equip you with the skills required to pursue a successful career working both in the UK and overseas. This course attracts enquiries from companies in rapidly expanding engineering IT industry sector across the EU and beyond who wish to recruit high quality graduates.

There is considerable demand for students with expertise in engineering software development and for those who have strong technical programming skills in industry standard languages and tools.

Typically our graduates are employed by software houses and consultancies, or by CAD/CAM and other engineering companies in software development roles and industrial research. 

A selection of companies that have recruited our graduates include:

  • Design Manager, Hindustan Aeronautics Ltd
  • Financial Software Developer, Bloomberg
  • Research Engineer, Moodstocks SAS
  • PLM Consultant, PCO Innovation
  • Software Developer, CAE Engineering
  • Computer Science Engineer, Sopra Group
  • IT Archietecture Consultant, Solucom
  • Asset Management Engineering, EON UK
  • Mathematical Software Engineer, Arithmetica Ltd
  • Analyst, Morgan Stanley.

Visit the Computational Engineering Design option - Computational and Software Techniques in Engineering (MSc) page on the Cranfield University website for more details!

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