Computational and Software Techniques in Engineering MSc

Postgraduate Prospectus

Computational and Software Techniques in Engineering MSc

Suitable for a wide range of students wishing to pursue careers in IT, engineering design, signal and image processing applications and e-Engineering.

Takes you on to a position or promotion within a wide range of software development companies, consultancies and allied industries where such skills are much in demand, both in the EU and beyond.

You will be taught by a team of academic staff and visiting lecturers with a wide range of expertise in engineering software development, signal and image processing, computer aided engineering and advanced environments and applications.

Course description

Our Computational and Software Techniques in Engineering MSc course consists of three parts: core modules, specialist modules and individual research thesis.

“This Master’s programme, with its unique blend of the practical and theoretical aspects of software techniques in computer aided engineering, has given me the confidence to move into industry.”

Shanila Fernando – MSc Computational and Software Techniques in Engineering 2002, Computer Aided Engineering option

Modules:

Core modules

Students begin by following a set of four core modules:

Management for Technology
Computational Methods
Computer Graphics
C++ Programming

Optional modules

Students undertake a further six specialist modules within one of the following four options:

Individual research thesis

Students then go on to undertake an individual research thesis project, allowing specialisation within an area of particular interest. Recent thesis titles have included:

structural measurement of ceramic foam using image processing
grid enabled rendering
vision systems for real time driver assistance
development and implementation of a legacy grid application
design optimisation of aircraft turbo cooler system
flame transfer functions from turbulent combustion (CFD)
recovery of depth information using paired optical and thermal images
implementing a build environment using the Cloud as a backend.

Entry requirements

Typically a 1st or 2nd class UK Honours degree or equivalent in engineering, science, mathematics, computer science, information technology, communication, networks, or a related discipline. Other qualifications (eg HND or alternative) may be acceptable, provided there is evidence of sufficient relevant work experience.

Duration

1 year full-time, 2 years part-time.

Start date

October.

Number of places

45.

Assessment

Coursework assignments, examination, and individual research project (thesis and presentation).

Funding

Bursary support to cover UK/EU fees only is available to full-time UK students with a 1st class Honours degree in a relevant and appropriate discipline from a UK university. Limited funding may be available to other students. Please contact us for details.