Computing with Vision and Imaging
Computer vision and imaging is the exciting science and technology of machines that see, concerned with building artificial systems that obtain information from images that are derived from a range of sources. This MSc in Computing with Vision and Imaging teaches you the skills necessary to undertake work in this ever-evolving field.
Status: For entry Sept 2013, apply before 19th July 2013, if you need a visa to study in the UK
Why study MSc Computing with Vision and Imaging at Dundee?
Computer vision and imaging is a rapidly expanding field with plenty of real-life applications and opportunities. Here at Dundee, we encourage a professional, inter-disciplinary and user-centred approach to computer systems design and production.
Application areas include:
- controlling processes - e.g. an industrial robot or an autonomous vehicle
- detecting events - e.g. for visual surveillance or people counting
- organising information - e.g. for indexing databases of images and image sequences
- modelling objects or environments - e.g. for industrial inspection
- medical image analysis
- topographical modelling
You will acquire skills in computer vision, inference, algorithmic underpinnings of computer vision systems, how images and signals are formed, filter, compressed and analysed, and how multiple images can be combined.
Throughout this course, you will also develop the necessary skills to undertake independent research and participate in proposal development and innovation - an excellent grounding for many future careers.
What's so good about MSc Computing with Vision and Imaging at Dundee?
Teaching at Dundee is research-led, meaning that the MSc programme benefits from association with cutting-edge research of international standard and its commercial applications.
We also have an active Computer Vision and Image Processing research group. Our Vision and Imaging students are involved in a number of http://www.computing.dundee.ac.uk/projects/vision/projects.php, and have been involved with a number of completed research projects like ACTIVE, a project concerning adaptive interfaces for the operation of secondary controls in motor vehicles using pointing gestures and virtual dashboards.
Links with industry
The School of Computing collaborates with, and has links to, companies such as IBM, NCR and Oracle.
You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building.
The School of Computing maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students - you're far more than just a matriculation number to us. We have a thriving postgraduate department with regular seminars and guest speakers.
Who should study this course?
This course suits graduates in computer science and related disciplines such as physics or mathematics. It is suitable if you wish to widen and/or deepen your knowledge of computing.
Teaching & Assessment
This course is taught by staff in the School of Computing .
The start date is September each year. The MSc course lasts for 12 months and the PGDip lasts for 9 months.
How you will be taught
We know how important it is to be at the leading edge of computing and so you will learn from research-active staff in the School of Computing. Leading researchers teach you and small class sizes mean that they really get to know you, making for an informal and supportive community.
Industrial collaboration is part of our ethos too, so we regularly include guest experts from industry.
What you will study
You select seven taught modules, three per semester, during the period September-April. You will make module selections with your advisor.
Semester 1 (Sept-Dec)
- Probabilistic Inference and Learning
- Signals and Images
- Plus two from:
- Technology Innovation Management
- Computer Graphics
- Logical Inference & Symbolic Reasoning
- Information Theory
Semester 2 (Jan-Mar)
- Vision and Perception
- Research Methods
- Plus one from:
- Computing Research Frontiers
- Multi-agent Systems & Grid Computing
Subject to examination performance, you then progress to the MSc project which runs from May to September, or to a Diploma project lasting 9 weeks.
Please note that some of the modules in the programme are shared with other masters programmes and some of the teaching and resources may be shared with our BSc programme. These joint classes offer a valuable opportunity to learn from, and discuss the material with, other groups of students with different backgrounds and perspectives.
How you will be assessed
The taught modules are assessed by continuous assessment plus end of semester examinations in December and March/April. The project is assessed by dissertation.
Computing coursework is often very practical, e.g. writing computer programs, designing interfaces, writing reports, constructing web sites, testing software, implementing databases, analysing problems or presenting solutions to clients.
The knowledge, skills and understanding that you will gain in the areas of computer vision, inference and learning will enable you to work effectively in the application of video and image-based computing - whether you choose industry, commerce or research.
You should have, or expect to have, a degree in computer science, physics, mathematics, electrical engineering or a related numerate discipline, with a grade equivalent to at least a Class 2.1 Honours degree from a UK university, or equivalent qualifications.
A good mathematical background and some experience of programming are essential.
IELTS of 6.0 (or equivalent), if your first language is not English. Please check our Language Requirements page for details of equivalent grades from other test providers, and information about the University of Dundee English Language courses.
Fees and Funding
(inc Jan 2013)
(inc Jan 2013)
(inc Jan 2015)
|to be confirmed||£13,250|
Sources of Funding
Information about the School of Computing scholarships can be found on the School of Computing scholarships webpage.
Other sources of funding for postgraduate students can be found on our Scholarships webpage.
SAAS tuition fee loans are available for this course for students who meet the eligibility criteria. Visit our SAAS tuition fee loan webpage for more information and links.
- Dundee is ranked as one of the most affordable places for students to live in the UK, and the cost of living is around 15% cheaper than the UK average.
- Increasing numbers of students are successfully undertaking part-time work to supplement their income. You can get advice from our Careers Service, both about job opportunities and how to find a suitable study/work/life balance. EU and international students are also allowed to work up to 20 hours per week.
- As a student in Scotland, you have free access to the National Health Service. Visits to doctors and hospitals, as well as prescriptions, sight tests and dental checkups, are available free of charge.
How to Apply
Apply online via UKPASS
Programme DirectorDr Keith Edwards
School of Computing
University of Dundee
Telephone: 01382 384463 (from the UK)
Telephone: +44 1382 384463 (from outside the UK)
Fax: 01382 385509 (from the UK)
Fax: +44 1382 385509 (from outside the UK)
Admissions ContactPostgraduate Admissions
Admissions and Student Recruitment
University of Dundee
Telephone: 01382 384 384 (from the UK)
Telephone: +44 1382 384 384 (from outside the UK)
Fax: 01382 385 500 (from the UK)
Fax: +44 1382 385 500 (from outside the UK)