Overview

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.

What you
will study

Core modules

Research project

Download the Programme Specification

In addition to the core modules that all students must undertake, some courses offer students a choice from a selection of optional modules to shape the focus their degree. Optional modules where available, form part of the overall credit structure of the course.

Download the programme specification for a detailed breakdown of the course structure, including modules, what you'll learn and other useful information.

Terms and Conditions

Details of the University’s terms and conditions are available here.

Course
information

Award	Mode of study	Duration	Start date	Location
MSc	Full time	1 year	Sep 26	Glasgow	Enquire Apply
Award	Mode of study	Duration	Start date	Location
MSc	Full time	1 year	Sep 26	London	Enquire Apply
Award	Mode of study	Duration	Start date	Location
MSc	Part time	2 years	Sep 26	Glasgow	Enquire Apply
Award	Mode of study	Duration	Start date	Location
MSc	Part time	2 years	Sep 26	London	Enquire Apply
Award	Mode of study	Duration	Start date	Location
MSc	Full time	16 months	Jan 27	Glasgow	Enquire Apply
Award	Mode of study	Duration	Start date	Location
MSc	Full time	16 months	Jan 27	London	Enquire Apply
Award	Mode of study	Duration	Start date	Location
MSc	Part time	2 years	Jan 27	Glasgow	Enquire Apply
Award	Mode of study	Duration	Start date	Location
MSc	Part time	2 years	Jan 27	London	Enquire Apply

Please note that admission to GCU is considered on a competitive basis, and the academic entry requirements stated here may be the minimum required to be eligible for an offer.

International students can get information on entry requirements specific to their country in our International Study section.

Minimum academic requirement

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 requirement

Academic IELTS score of 6.0 (or equivalent) with no element below 5.5.

Additional information for international applicants

Entry requirements by country
Application deadlines
English language tests
Knowledge of English - Applicants from a majority English speaking country may not be required to provide further proof of your English language proficiency. Information about this requirement is available on the Student Visa section of the gov.uk website.

Additional information for all applicants

Relevant experience (Recognition of Prior Learning)

GCU's flexible entry policies exist to allow relevant work experience and prior learning to be considered towards standard entry or advanced entry into a course.

If you do not have the typical academic entry qualifications, but can demonstrate relevant work experience and/or credits from recognised professional bodies, you may be eligible to enter this course via the University's Recognition of Prior Learning (RPL) scheme.

Assessment and teaching

Teaching is delivered through a dynamic combination of:

Lectures
Tutorials
Laboratory sessions
Team-based workshops.

This allows you to apply theory to practice and develop a deep understanding of complex computing concepts.

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.

Facilities

You’ll access modern computing laboratories, equipped with industry-standard software, advanced programming environments, and cloud-based tools used in professional practice. Virtual learning platforms complement on-campus resources, enabling flexible and interactive learning.

Industry connections

We have strong links with tech companies, research centres, and public sector organisations across the world. You can use these to apply your learning in real-world environments.

Practical research opportunities

You’ll join a research community, gaining exposure to leading work that addresses global challenges such as sustainable computing, ethical AI, and digital inclusion. The Dissertation module allows you to contribute to these areas through original research or applied problem-solving projects, often with industry or community partners.

Common Good

In keeping with the University’s commitment to the Common Good, this course promotes responsible innovation and ethics. You’ll reflect on the societal, environmental, and cultural impacts of computing to contribute to local and global communities.