Course Summary
The M.Sc. in Computing enables new graduates and established computing professionals to develop advanced thinking and technical know-how in a range of inter-related technology-centric disciplines.
The programme contains a mix of taught and research modules and places a strong emphasis on honing practical skills. Lectures and practicals are delivered in a dedicated learning environment where students spend the majority of their time on programming and project work. Depending on the modules that you select, you can expect to spend much of each week working on practical computing problems in cloud-based environments using languages like Java, JavaScript, C and Python. Each of the course modules involves the use of modern and AI-enabled compute environments and programming libraries.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
A Level 8 major award in computing (software development) or computer engineering (with a significant level of software development).
For non-native English speakers a minimum IELTS score of 6.0 is required.
Application Details
Flexible learning courses are popular, and they fill on a first come, first served basis. There are two major intake periods throughout the academic year, September and January.
For January start courses, applications typically open in October, and for September start courses, applications typically open in February. Closing dates for applications are listed on the individual course webpage.
Start Date January 2026
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
Duration
Recommended Study Hours per week
Full-time students: 15-20 hours / week.