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Computer and Machine Vision - Computational Software Techniques in Engineering at Cranfield University - UCAS

Cranfield University

Degree level: Postgraduate

Computer and Machine Vision - Computational Software Techniques in Engineering (Taught)

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

This specialist option of the MSc Computational and Software Techniques in Engineering has been developed to deliver qualified engineers to the highest standard into the emerging field of digital signal and image processing who are capable of contributing significantly to this increased demand for both real-time and off-line systems operating over a range of mobile, embedded and workstation platforms. Who is it for? Developed for students interested in software development within the wide spectrum of industries in which digital signal processing and/or digital image processing plays a significant role. Suitable for candidates from a broad range of engineering backgrounds, including aeronautical, automotive, mechanical and electrical engineering, in addition to the more traditional computational sciences background, who wish to both develop and complement their existing skill set in this new area. Part-time students have a flexible commencement date. Why this course? This option of the MSc in Computational and Software Techniques in Engineering aims to develop your skill base for the rapidly expanding engineering IT industry sector, not only in the UK but all over the world. Graduates who undertake this option have the opportunity to pursue a wide range of careers embracing telecommunications, the automotive industry, medical imaging, software houses and industrial research, where demand for skills is high. This course additionally forms part of the ESTIA (Ecole Supérieure des Technologies Industrielles Avancées) Cranfield MSc programme which gives ESTIA students the opportunity to study this degree based either at Cranfield University or ESTIA in Bidart, South-West France. Cranfield University is very well located for visiting part-time students from all over the world, and offers a range of library and support facilities to support your studies. This enables students to complete their qualification whilst balancing work/life commitments.

Assessment method

Taught modules 40%, group project 20%, individual research project 40%

Qualified teacher status (QTS)

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

  • Course does not award QTS

Entry requirements

Applicants are required to either have a minimum of a UK second class Honours degree or its equivalent in applied mathematics, aeronautical, mechanical or electrical engineering or computer science or be applying as part of a recognised double-degree programme with their home EU institution. Applications from candidates with lesser qualifications but with considerable relevant work experience will be considered. Entry level C Programming experience is highly advisable but not essential.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Computer and Machine Vision - Computational Software Techniques in Engineering at Cranfield University - UCAS