University course Β· real outcomes from HESA / Discover Uni Β· part of Careermash
University degree

Computer Science and Artificial Intelligence

Queen Mary University of London Β· London
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
Robin Β· your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Computer science and artificial intelligence together form one of the most significant disciplines in contemporary education and industry. Computer science provides the theoretical foundations, including algorithms, data structures, software engineering, computer architecture, and the mathematics of computation, that underlie all digital technology. Artificial intelligence extends these foundations into the development of systems that can learn from data, reason under uncertainty, perceive the world through images and language, and act in complex environments.

AI is no longer a specialised research topic; it now influences how we work, study, create, communicate, and navigate daily life, from health diagnostics and financial tools to real-time traffic systems and creative software.

At Queen Mary University of London, this four-year full-time degree gives you a rigorous grounding in both computer science and AI, developing both the theoretical depth and the practical engineering skills that the sector demands. You will study the mathematical and computational foundations of the discipline alongside the core machine learning methods, deep learning architectures, and AI application areas that are shaping the technology landscape. Queen Mary has a strong research environment in both computer science and AI, and its east London location places you close to one of the UK's most active technology and creative industries clusters.

Graduates in computer science and AI have access to some of the most in-demand careers in the modern economy. Machine learning engineering, AI research, software development, data science, robotics, natural language processing, and computer vision are among the most direct technical destinations. Others work in product management, technology consultancy, and the digital transformation functions of organisations across healthcare, finance, media, retail, and government.

For those drawn to academic research, the degree provides excellent preparation for postgraduate study at Masters or doctoral level in AI, machine learning, or a specialist area of computing. The typical entry tariff is 152 points.

Could you get in?
The grades students arrived with
48-63 pts10%
128-143 pts25%
144-159 pts25%
160-175 pts35%
176-191 pts10%
How they qualified
80% got in with A-levels. The rest came in a mix of ways:
A-levels80%
a foundation year5%
other higher education5%
Other5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
82%
In work or further study after
95%
Continue past first year
85%
Student satisfaction
What graduates earn over time
Β£40,500
3 years on
Β£52,000
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled62%
Sales occupations5%
Administrative occupations2%
Science, engineering and technology associate professionalsHighly skilled8%
Leisure, travel and related personal service occupations1%
Business, Research and Administrative ProfessionalsHighly skilled6%
Business and public service associate professionalsHighly skilled5%
Teaching ProfessionalsHighly skilled4%
What students say National Student Survey
85%
of students are satisfied with the course overall
Teaching84%
Assessment & feedback81%
Academic support78%
Well organised83%
Learning resources86%
Student community87%
In students' own words
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Genuinely worthwhile
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: coursework pushes you to actually build real systems, not just write essays. If I'm honest, some seminar groups were too big for meaningful discussion. On the …
Postgraduate Β· Full-time
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Would do it again
The course has exceeded my expectations. The best part: you finish with a portfolio that recruiters take seriously. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” local cost of living is manageable …
Class of 2024 Β· Part-time
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Queen Mary University of London's own site.
Apply on uni site
Careermash Β· real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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