Taught course

Embedded Systems Computer Vision with Management

Institution
Kingston University · Computing and Information Systems
Qualifications
MSc

Entry requirements

Good honours degree or equivalent in computer science, IT, electronics, engineering or mathematics or substantial relevant work experience.

Months of entry

January, September

Course content

Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. The automation of visual processing (ie computer vision) has many applications in the modern world including medical imaging for better diagnosis, surveillance systems to improve security and safety, industrial and domestic robotics plus advanced interfaces for computer games, mobile phones and human-computer interfaces. The possibilities are only limited by our imagination.

  • The unique combination of computer vision and embedded systems skills is highly desirable in state-of-the-art industrial applications.
  • This course is accredited by BCS, The Chartered Institute for IT.
  • You will have the opportunity to work on your project dissertation in the internationally recognised Digital Imaging Research Centre with groups on visual surveillance, human body motion, medical imaging and robotics and being involved in national and international projects or in collaboration with our industrial contacts.

What will you study

The Embedded Systems (Computer Vision) course can be combined with Management Studies enabling you to develop business and management skills so you can work effectively with business managers to develop innovative and imaginative ways to exploit computer vision and embedded systems for business advantage. This is a key skill for employability, particularly as organisations in the public, private and voluntary sectors grapple with austerity.

Embedded Systems (Computer Vision) with Management Studies MSc modules

Please note that this is an indicative list of modules and is not intended as a definitive list.

  • Digital Signal Processing

Digital signal processing is a pervasive tool in the modern world, though much of its use is embedded within specialist software and hardware. Most modern instrumentation systems will employ DSP algorithms to analyse sensor readings, and in some cases (eg flight control systems) automatically initiate appropriate responses. Mobile phone technology is singularly dependent on the ability of DSP algorithms to extract meaningful information from broadcast signals. DSP algorithms underpin the revolution in the availability of digital video and audio recordings.

  • Real-time Programming

This core module covers performance optimisation for application in computer games and embedded systems.

  • Artificial Vision Systems

This module introduces the ideas and concepts in image and video processing, computer vision, pattern recognition and machine learning as used in applications such as industrial inspection, medical imaging, assistive living and CCTV surveillance. Core material is a mixture of theoretical and practical work. Students will explore the concepts and techniques taught in the lectures on various images and datasets using specialist software, such as OpenCV, Kinect for Windows SDK, Image Processing Matlab Toolbox.

  • Business in Practice

This postgraduate module is aimed at the practical needs of students from different academic contexts such as, but not limited to computing, science, medicine, biotechnology and the health services who are aspiring team leaders, managers, and entrepreneurs in business within the context of the commercial, public, voluntary, or academic sector.

The module introduces and uses activities and problem-solving to investigate business topics ranging from finance, accounting, budgeting, and marketing, to organisational management by developing the leadership skills to meet business challenges and cope with its complexity.

  • Project Dissertation

This module constitutes the major individual piece of work of the masters programme where you will carry out a project involving independent critical research, design and implementation (where applicable).

Information for international students

All non-UK applicants must meet our English language requirements. For this course it is Academic IELTS of 6.5 overall with 6.0 in Writing and 5.5 in Reading, Listening and Speaking. Read our full guidance about English language requirements, which includes details of other qualifications we'll consider. http://www.kingston.ac.uk/international/studying-at-kingston/language-requirements/

Fees and funding

Please see http://www.kingston.ac.uk/postgraduate-course/embedded-systems-with-computer-vision-msc/fees-and-bursaries.html for further details.

Qualification and course duration

MSc

part time
24-36 months
full time
12 months

Course contact details

Name
Postgraduate Admissions
Email
SECAdmissionsEnquiries@kingston.ac.uk
Phone
08448 547683/+44 (0)20 3308 9931