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

Cranfield University

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Cranfield Campus

  • Study mode

    Full time

  • Start date

    SEP

  • Duration

    1 Year

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 the increased demand for both real-time and offline systems operating over a range of mobile, embedded and workstation platforms. 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

Tuition fees

Students living in United States
(International fees)

£ 27,910per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Cranfield University

  • Campus address

    Cranfield Campus, College Road, Cranfield, Bedfordshire, MK43 0AL, United Kingdom

With a student body representing 110+ nationalities, Cranfield is committed to diversity and inclusion, and aims to provide a supportive learning environment.
An emphasis on advanced practical, postgraduate and professional education, with full-time and part-time programmes.
Industry input to courses to ensure they stay relevant and develop in-demand skills. Many staff have industry backgrounds, as well as being leading academics.

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