Course summary
Our MSc Advanced Computer Science is an innovative course designed for you to advance your expertise in modern computing technologies and research. The course focuses on developing in-depth skills in advanced computer systems and software development, Artificial Intelligence (AI), data engineering and cloud computing – all while emphasising ethical and human-centred approaches to technology. Available on our campuses in the heart of Glasgow and London, you can connect with two of the UK’s most vibrant technology and innovation hubs. London is Europe’s leading AI hub and the third largest globally, and Glasgow has emerged as a top UK city for tech professionals. Taught by research-active academics and industry-experienced lecturers, the course blends academic theory with practical, real-world application. You’ll engage in collaborative projects, gain hands-on experience with emerging technologies, and develop the critical and creative thinking required to lead in the global digital economy. If you’re seeking to advance your skills and build a career in software development, data science, AI engineering, or academic research, this course is ideal for you. Graduate Outcomes As a graduate of MSc Advanced Computer Science, you’ll be well prepared for a wide range of high-demand careers in the global technology sector. With expertise in AI, cloud computing, big data, and human–computer interaction, you’ll develop the technical and professional skills sought by employers across industries. Typical career paths include: Software Engineer Data Scientist Machine Learning Engineer Cloud Solutions Architect Systems Analyst Research Scientist The course offers strong industry connections in both Glasgow and London. You’ll have opportunities for networking, guest lectures, and collaborative projects. The latest BICS data reports that a quarter of businesses in Scotland are using AI, and the uptake is expected to increase. This growing data and AI economy, along with London’s global tech ecosystem, provides an exceptional environment for career development. With global demand for computing and AI specialists on the rise, you’ll be well-positioned for an impactful, future-focused career in research, industry, or entrepreneurship.
Modules
Data Ethics and Research Methods Artificial Intelligence and Machine Learning Advanced Operating Systems Advanced Programming Advanced Topics in Human Computer Interaction Cloud Computing and Web Services Big Data Platforms Team Project Dissertation
Assessment method
Assessment methods include: Coursework Programming and research assignments Group projects Oral presentations Class tests. Modules such as the Team Project enable you to experience problem-solving in a professional context, enhancing teamwork and communication skills.
Entry requirements
UK honours degree 2:2 (or equivalent) in computing with software development, for example, computing, computer science, software engineering and web technologies. We also welcome applicants with Industry qualifications/experience within the GCU Recognition of Prior Learning (RPL) Policy.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | Overall score of 6.0 with the minimum of 5.5 in each element |
Fees and funding
Tuition fees
| England | £7300* | Whole course |
| Northern Ireland | £7300* | Whole course |
| Scotland | £7300* | Whole course |
| Wales | £7300* | Whole course |
| Channel Islands | £7300* | Whole course |
| Republic of Ireland | £7300* | Whole course |
| EU | £16200* | Whole course |
| International | £16200* | Whole course |
*This is a provisional fee and subject to change.
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Glasgow Caledonian University
City Campus
Cowcaddens Road
Glasgow
G4 0BA