Coronavirus (COVID-19) and your application

The start dates of our courses have not changed as a result of COVID-19 and are scheduled to start as advertised.

We remain committed to delivering the highest quality education, so you can be assured that – whether the course starts on campus, online or through blended learning – we have the technology, the expertise and committed staff who are ready to offer you a first-class educational experience that will inspire you. You can read more about this on our website.

Find more about student applications on our COVID-19 webpage

The MSc in Computing (Visual Computing and Robotics) is a taught postgraduate course aimed at students with a good academic degree who may not have studied computing exclusively but who have studied a considerable amount of computing already.

This course was previously offered as the MSc in Computing (Visual Information Processing).

Applicants who want to become a specialist in a particular area of computing and who want to take a first crucial training step towards that goal are the natural target for this course. The expectation of graduates is that this course enables them to have rewarding careers as specialist in an area of Computing.

Each specialism has a flexible mix of breadth and depth, consisting of two or three compulsory modules as well as choices from a selection of core and optional modules. 

This course is also a suitable preparation for PhD studies.

All applicants for this course must have taken computing courses that equate to two years of a computer science undergraduate programme. For further details, see the MSc Computing (Visual Computing and Robotics) entry requirements or our FAQs.

Deadline for applications

Applications for 2022/2023 are now closed. Applications for the 2023/2024 cycle will open in October 2022.

The deadline for applications for the 2023/2024 cycle is 31 July 2023; however, please be advised that we reserve the right to close applications before this date. As such, we recommend applying sooner rather than later.

Course 496 Mathematics for Machine Learning must be taken if you are taking any of the following courses: 424H Reinforcement Learning, 433 Advanced Robotics, 460 Deep Learning, 493 Probabilistic Inference, 495 Advanced Statistical Machine Learning and Pattern Recognition.

Please note that the exact list of modules offered may be subject to change.