Expand+The MSc programme aims to produce very high quality graduates that can become leaders in high-tech industry and academic research. It will be intensive, demanding and rewarding.

For entry to the course, we require the following:
• A II.1 (60-6...

Hide-The MSc programme aims to produce very high quality graduates that can become leaders in high-tech industry and academic research. It will be intensive, demanding and rewarding.

For entry to the course, we require the following:
• A II.1 (60-69%) grade or higher from a reputable university in Computing or strongly related discipline

• A standard of English language competence that will allow full participation in coursework, classwork and other activities - this means an IELTS level of 6.5 overall with no single component below 6.0

• You need to be able to be fully competent in programming in C, C++ or Java [for Graphics and Vision Technologies, you will need to have or acquire competence in C++]

• A strong work ethic and the resolve to strongly engage with the demanding programme. This means, for example, that it will be extremely difficult to do the course while holding part-time employment.

Expand+Course Description
The new MSc in Computer Science has a common set of entry criteria and leads to a Master's degree in Computing specializing in one of four exciting areas: Data Science, Intelligent Systems, Graphics and Vision Technologies and Fut...

Hide-Course Description
The new MSc in Computer Science has a common set of entry criteria and leads to a Master's degree in Computing specializing in one of four exciting areas: Data Science, Intelligent Systems, Graphics and Vision Technologies and Future Networked Systems.

The course is designed and taught by staff who are renowned research leaders in their fields. The course content is inspired by their cutting-edge work as well as their contacts with leading industry researchers around the globe.

In the first semester, students gain the necessary skills in Research Methods (to enable students to produce their own dissertation), Innovation (to equip students with skills in company formation or innovating within a large company) and Machine Learning (a foundational technique for each of the specializations). In addition, students will make a start on their specialist modules in their chosen strand.

During the 2nd semester, students will begin foundational work on their dissertation, and immerse themselves in modules of their chosen strand.

The 3rd semester will be exclusively focussed on the Dissertations, doing experimental work, building prototypes and writing up the work.

We expect our graduates to be in high-demand for top-end research and development positions within leading multi-national companies and from startup-companies alike. There will also be opportunities to progress to PhD study with many funded positions available locally.