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Course overview
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Starts: Feb 2026 / Sep 2026
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Duration: 1 year
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Mode: Full-time
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Fees: UK: £9,750 (2026/27) / International: £18,500 (2026/27)
This MSc Computer Science programme offers modules in the likes of artificial intelligence, cyber security, cloud computing, Internet of Things and leading-edge ‘web 3’ technologies, such as blockchain. In tackling these fields, the curriculum takes a systems architecture approach, encouraging students to work both within and across these technologies.
Why study this course?
- Develop highly desirable skills in computer science
- Gain Master's level skills in systems architecture, artificial intelligence and cyber security
- Build highly desirable skills in cloud computing and the Internet of Things
- Learn about cutting-edge technologies that are shaping the next iteration of the web
- Develop your skills in innovation and knowledge of social responsibility
- Gain business and entrepreneurial skills that will enhance your employability
- Experience a learning-by-doing approach to computer science education
- Improve your future employment prospects
- Enhance your professional network by meeting people with similar interests and different skill-sets
- Be part of a tech-literate, creative community
Where design and digital media meet
Ravensbourne has an established international reputation for innovation at the intersection of design and digital media. Our suite of MSc programmes, of which MSc Computer Science is an integral part, seeks to capitalise on and consolidate these past successes.
The course invites prospective postgraduate students to be part of that journey, empowering them to draw on and learn from this rich history of innovative design thinking and apply this to the creation of new technologies.
Teaching sessions for this course will take place Monday to Friday between 9am and 9pm. As such, the course may include some evening teaching.
Ideal for...
graduates and professionals with a background in computing or related fields wishing to update their skills and professional network by studying cutting-edge areas within computer science.
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Key study topics
- Systems architecture
- Artificial intelligence foundations
- Cyber security
- Innovation and responsibility
- Cloud computing
- Business development
- Web3
- Internet of Things
- Dissertation project