|Location||United Kingdom, Cranfield Campus|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||To be confirmed|
Undergraduate diploma (or higher)
in applied mathematics, aeronautical, mechanical or electrical engineering or computer science.
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
Vykdamas į pasirinktą universitetą, privalai pasiimti patvirtintas dokumentų kopijas, kurių universitetas reikalavo stojimo metu.
IELTS: 6.5 overall
At least 2 reference(s) must be provided.
To the Applicant
Please arrange for 2 referees to provide a reference. Select at least one referee who can comment on your recent academic ability or employment experience.
To the Referee
Please comment on the applicant’s suitability to undertake such studies. Where possible, please try to cover the following points in your reference:– In what capacity you have known the applicant and for how long – If the applicant is still studying, the likely result he or she will obtain – The applicant’s ability to work alone or as part of a team – The applicant’s general character – Any particular strengths or weaknesses – How the applicant’s achievements compare to those of his or her peers – The applicant’s skill in the use of English where English is not his or her first language – Your reply will be treated in confidence.
The reference should be on letterhead paper and preferably typewritten.
Please arrange for 2 referees to provide a reference.
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.
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 in 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 from all over the world to complete this qualification whilst balancing work/life commitments.
The course consists of 12 core modules, including a group design project, plus an individual research project.
The course is delivered via a combination of structured lectures, tutorial sessions and computer based workshops. Mathematical and computational methods form the basis of the specialist modules, covering the theory and application of DSIP algorithms for the analysis, interpretation and processing of data in diverse fields such as computer vision, robotics, vibro-acoustic condition monitoring, medical diagnosis, remote sensing and data visualisation. This set of specialist modules are designed to provide students with the programming techniques necessary to develop, maintain and use core DSIP solution software over a wide range of industrial settings.
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.
Some students may go onto degrees, on the basis of their MSc research project. Thesis topics are most often supplied by individual companies on in-company problems with a view to employment after graduation – an approach that is being actively encouraged by a growing number of industries.