Why study a master's in computer science, data and AI?
Technology is transforming the way we live, work and solve problems. The people with the skills to shape that future are in demand across every sector. Build the skills that are driving innovation across industries.
Develop expertise in areas that employers are increasingly looking for and gain a deeper understanding of how digital technologies are created, applied and improved.
Graduate ready to advance your career, specialise in your field and create impact in your profession or community.5 QS Stars for Teaching and Facilities
QS Stars University Ratings
Ranked1st for Engagement
Postgraduate Taught Experience Survey (PTES) 2026
Ranked 2nd for Support
Postgraduate Taught Experience Survey (PTES) 2026
Ranked 3rd for Skills Development
Postgraduate Taught Experience Survey (PTES) 2026
Learning spaces designed for real-world digital practice
Work in spaces where you can test ideas, develop solutions, and build the skills needed for a career in tech.
- Ethical Hacking and Cybersecurity Lab helps you respond to cyber threats and understand techniques used to keep critical systems secure.
- Cisco Lab prepares you for a career in technology, giving you the opportunity to configure, test and troubleshoot networks, building confidence through practical experience.
- Sigma Centre helps you develop analytical and problem-solving skills that underpin areas such as AI, data science and computing.
These facilities are used to support on‑campus postgraduate computer science courses.
Where a master’s degree in Computer Science, Data and AI can take you
A postgraduate degree in computer science, data and AI can help you develop the skills to thrive in an increasingly digital world. Build the technical, analytical and problem-solving skills needed to understand, develop and improve the technologies shaping how we live and work.
Many of our students join us to advance their careers, move into specialist technology roles or gain expertise in emerging areas of digital innovation.
Career pathways vary depending on your chosen course and any further professional training required, but graduates typically move into roles such as:
- software engineer
- data scientist
- artificial intelligence or machine learning engineer
- cybersecurity analyst
- systems architect
- technology consultant
- research specialist (AI, data science or computing).
Average gross salary*
£58,777 per year
Source: salary.com
*Salaries vary depending on experience, sector and location.