MSc in Computing (Security and Reliability)
Coronavirus (COVID-19) and your application
Applications for this course are still open.
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.
The MSc in Computing (Security and Reliability) 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.
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 a 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 (Security and Reliability) entry requirements or our FAQs.
Deadline for applications
Applications for the 2022/2023 cycle will open on the 04 October 2021. The deadline is 31 July 2022; 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.
Covid 19 information for applicants and offer holders page
This course will begin on schedule in the Autumn and we plan to reopen our campuses. We are looking forward to seeing you in person, if travel and visa arrangements allow. If you can’t travel to campus in time for the start of term, we want to reassure you that your academic Department has made plans which make it possible to offer you a high-quality remote educational experience during the Autumn term.
Your teaching will be a combination of on-campus (in-person) and remote learning (online). We call this ‘multi-mode’ delivery. Depending on official government guidance throughout the entirety of next academic year, the ‘multi-mode’ balance may be subject to change. We hope to be able to offer you increased on-campus teaching and learning activities throughout the year.
For more information about multi-mode delivery, your learning experience and the steps we’ll be taking to keep you safe on campus if you are able to join us, please see our Covid 19 information for applicants and offer holders page.