Course Structure

The MSc CGVI runs for one calendar year starting in the last week of September and ending one week into September the following year. It is not possible to take the courses on a part‐time basis.

The MSc course consists of three elements, all of which must be completed and passed for the student to obtain a degree:

• A core component consisting of essential advanced material for all students. All material in this part is compulsory.
• Options to allow tailoring of the material to individual interests. Students choose four topics from the list below.
• A research project.

Taught courses consist of about 30 hours of lectures and are assessed in the examination period (May / June). In addition, most have associated practical sessions and coursework. Detailed syllabi can be found by clicking on the links below.

Core Components

• Mathematical Methods, Algorithmics and Implementation (COMPGV01) (Term 1)
• Image Processing (COMPGV12) (Term 1)
• Computer Graphics (COMPGV10) (Term 1)
• Research Methods and Reading (COMPGV16) (Term 2)

Options (select 4)

• Machine Vision (COMPGI14) (Term 1)
• Graphical Models (COMPGI08) (Term 1)
• Virtual Environments (COMPGV07) (Term 1)
• Geometry of Images (COMPGV11) (Term 2)
• Advanced Modelling, Rendering and Animation (COMPGV14) (Term 2)
• Inverse Problems in Imaging (COMPGV08) (Term 2)
• Computational Modelling for Biomedical Imaging (COMPGV17) (Term 2)
• Computational Photography and Capture (COMPGV15) (Term 2)

Almost all of these options do not overlap at all, and it is generally possible to attend even classes for which you are not registered if you are interested in these topics.

Typical Programme Diets

Some students are more interested in graphics than vision, or vice versa. Listed below are likely option choices for students with particular interests:

Mostly interested in graphics:  Virtual Environments, Computational Photography and Capture, Advanced Modelling, Rendering and Animation and one other...

Mostly interested in vision:  Machine Vision, Geometry of Images, Computational Photography and Capture and one other...

Mostly interested in medical imaging:  Information processing in medical imaging, geometry of images, optimization, and one other...