MSc Computer and Machine Vision option in Computational and Software Techniques in Engineering

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 the increased demand for both real-time and offline 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.

Your career

The MSc in Computer and Machine Vision attracts enquiries from companies all over the world 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. Graduates of this course will be in demand by commercial engineering software developers, automotive, telecommunications, medical and other industries and research organisations, and have been particularly successful in finding long-term employment.