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Cranfield University

Course: MSc Computational and Software Techniques in Engineering - Computer and Machine Vision

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Course Details

School: Cranfield University

Subject area: Computational and Software Techniques in Engineering - Computer and Machine Vision

Level: Master of Science (MSc)

Degree duration: 1 year

Degree intake date(s): September

Annual tuition fee: £27,910

*Note: The fees quoted above are subject to change by the course provider and are for guidance only. If your application is successful, a detailed breakdown of fees will be provided with your offer.

School: School of Aerospace, Transport and Manufacturing. This one-year Master of Science (MSc) program focuses on the application of computational and software techniques in the field of computer and machine vision within an engineering context. The curriculum will likely cover areas such as image processing, pattern recognition, object detection and tracking, 3D vision, machine learning for vision tasks, and software development for vision systems. It may include applications in robotics, autonomous systems, quality control, or surveillance within aerospace, transport, and manufacturing.
Career options as computer vision engineers, machine vision specialists, AI engineers (focused on vision), robotics engineers (with vision components), research scientists in computer vision, software developers for vision applications, and potentially in roles within autonomous systems, aerospace, automotive, or manufacturing industries.
Cranfield University has a strong aerospace heritage and uniquely owns an airport, potentially offering specialized resources and connections in areas like autonomous vehicles, aerial imaging, or advanced manufacturing with vision systems. Its Management School is triple-accredited (AMBA, EQUIS, AACSB International), indicating high standards in management and business-related aspects that might complement technical skills. The university is a six-time winner of the Queen's Anniversary Prize for Higher and Further Education, recognizing its excellence and impact in various fields.
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