12 monthsProgramme duration
24,995 GBPTuition Fee/year
01 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Advances across platforms, networks and technologies can help us to tackle society’s most pressing challenges. Whether finding ways to forecast extreme weather, improving medical diagnosis or optimising public transportation, there’s significant demand for skilled scientists who specialise in system design.
On this course, you’ll explore new possibilities across science, digital media and e-commerce. By studying at Sussex, you’ll:
- benefit from our strengths in areas such as software design, system design, and mobile and cloud computing
- access state-of-the-art facilities including our specialist teaching computer labs and media technology labs offering industry-standard equipment
- boost your employability through our mix of accreditations, industry partnerships and employer connections
- connect with spin-out companies such as InCrowd and Player Research.
Based within our Department of Engineering and Informatics, you’ll join a thriving community of research excellence. We’re home to leading research hubs including Sussex AI and the Sussex Centre for Consciousness Science.
Throughout your studies, you’ll learn from experts across the field of computer science. Popular module topics include:
- advanced software engineering
- quantum computing
- human-computer interaction
- web applications and services
- network science
- image processing
- machine learning.
You’ll also complete a practical or theoretical MSc project, where you’ll have opportunities to work with an industrial partner and gain skills to kickstart your career.
When you graduate, you’ll be ready for a career in areas of high-demand. Recent graduates have gone on to work for companies including Accenture, Toyota Europe and Google. You might also decide to conduct further research within academia or industry, or go on to further study.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Advances across platforms, networks and technologies can help us to tackle society’s most pressing challenges. Whether finding ways to forecast extreme weather, improving medical diagnosis or optimising public transportation, there’s significant demand for skilled scientists who specialise in system design.
On this course, you’ll explore new possibilities across science, digital media and e-commerce. By studying at Sussex, you’ll:
- benefit from our strengths in areas such as software design, system design, and mobile and cloud computing
- access state-of-the-art facilities including our specialist teaching computer labs and media technology labs offering industry-standard equipment
- boost your employability through our mix of accreditations, industry partnerships and employer connections
- connect with spin-out companies such as InCrowd and Player Research.
Based within our Department of Engineering and Informatics, you’ll join a thriving community of research excellence. We’re home to leading research hubs including Sussex AI and the Sussex Centre for Consciousness Science.
Throughout your studies, you’ll learn from experts across the field of computer science. Popular module topics include:
- advanced software engineering
- quantum computing
- human-computer interaction
- web applications and services
- network science
- image processing
- machine learning.
You’ll also complete a practical or theoretical MSc project, where you’ll have opportunities to work with an industrial partner and gain skills to kickstart your career.
When you graduate, you’ll be ready for a career in areas of high-demand. Recent graduates have gone on to work for companies including Accenture, Toyota Europe and Google. You might also decide to conduct further research within academia or industry, or go on to further study.
Admission Requirements
- Degree requirements: You should normally have an upper second-class (2.1) undergraduate honours degree or above.
- Subject-specific requirements: Your qualification should be in computing, science, mathematics or engineering and you should have significant computing experience. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
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