
January 2027
1 year
London
Tuition Fee
£11,000 per year (UK home)
Full-time, Part-time
The tuition fee for UK home students is £11,000 per year for full-time study. For part-time study, the fee is £1,225 per 20 credit module. The university reserves the right to increase the tuition fees in line with changes to legislation, regulation and any government guidance or decisions. More information on the latest fee can be found on the institution website.
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A 2:2 UK degree (or equivalent) in computer or data science, computer, software or network engineering, computing or ICT, cyber security. A 2:2 UK degree (or equivalent) that requires mathematics and computing skills, including mathematics, physics, chemistry, economics, business or finance.
Please contact our admissions team for specific English language requirements for this program.
Graduates can pursue roles as AI specialists, data scientists, software engineers, and cyber security analysts across various sectors including fintech, retail, and technology.
Assessment includes a combination of coursework and exams for fundamental modules, while specialist modules are assessed through coursework. The dissertation project assesses theoretical, analytical, and technological skills.
The institution provides comprehensive support for students, including career guidance and opportunities to work on research projects and industry collaborations.
Students have the opportunity to work on collaborative projects with long-standing partners in the fintech industry, such as Lloyds Banking Group and Open Banking Inc.
The course is distinguished by its focus on security analytics and its strong links to research centres and industry partners, providing a balanced curriculum of fundamental and specialist modules.
Yes, the course includes practical sessions, workshops, and project work that help students build essential skills in programming, data analysis, and the development of intelligent systems.
The learning experience involves a mix of lectures, workshops, and hands-on practical sessions, supported by access to research centres and industry-standard tools.
Prospective students should have a 2:2 degree in a relevant subject and ideally possess some programming skills in languages like Java or Python to gain the most from the course.