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

Computer Science

Goldsmiths' College
Qualification
Degree
Length
3 yrs
UK fees / yr
£9,535
Study
full-time
Worth knowing: about 27% of students don't make it past first year here - ask the uni what support they offer.
Robin · 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 with a focus on artificial intelligence and data science places you at the centre of one of the most rapidly evolving fields in technology. AI and data science are no longer niche specialisms: they underpin search engines, recommendation systems, medical diagnostics, financial modelling, and a growing range of automated decision-making processes. Understanding how these systems are built, how they learn from data, and where their limitations and ethical implications lie is increasingly important not only for technologists but for anyone working in a data-rich environment.

At Goldsmiths, this three-year full-time programme includes a placement year, giving you the opportunity to apply your technical skills in a professional context before completing your studies. The programme covers the core foundations of computer science, including programming, algorithms, data structures, and software engineering, before moving into specialist areas such as machine learning, neural networks, statistical modelling, and the management and analysis of large datasets. You will work with the tools and languages that practitioners in the field actually use, building practical competence alongside theoretical understanding.

Goldsmiths has a distinctive culture that combines technical rigour with creative and critical thinking, and this shapes the way AI and data science are taught here. You will be encouraged to question the assumptions built into data-driven systems, to think about fairness and representation in machine learning, and to engage with the social and cultural contexts in which these technologies operate. This broader perspective is increasingly valued by employers who are aware that purely technical expertise is not sufficient on its own.

Graduates of programmes in computer science, AI, and data science work in technology companies, financial services, healthcare, public sector analytics, and academic research. Roles include data scientist, machine learning engineer, software developer, AI researcher, and data analyst. Postgraduate study is a common route for those who wish to deepen their specialism, and the field offers strong employment prospects across a wide range of sectors.

Could you get in?
The grades students arrived with
<48 pts11%
48-63 pts4%
64-79 pts13%
80-95 pts12%
96-111 pts18%
112-127 pts13%
128-143 pts7%
144-159 pts5%
160-175 pts4%
176-191 pts1%
240+ pts1%
How they qualified
70% got in with A-levels. The rest came in a mix of ways:
A-levels70%
other higher education20%
an Access course10%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
74%
In work or further study after
73%
Continue past first year
77%
Student satisfaction
What graduates earn over time
£31,500
3 years on
£38,000
5 years on
What graduates actually go on to do % of leavers
Administrative occupations5%
Information Technology ProfessionalsHighly skilled35%
Sales occupations5%
Business and public service associate professionalsHighly skilled10%
Teaching ProfessionalsHighly skilled5%
Artistic, literary and media occupationsHighly skilled5%
Managers, directors and senior officialsHighly skilled5%
Web and Multimedia Design ProfessionalsHighly skilled5%
What students say National Student Survey
77%
of students are satisfied with the course overall
Teaching81%
Assessment & feedback77%
Academic support67%
Well organised73%
Learning resources76%
Student community78%
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Goldsmiths' College's own site.
Apply on uni site
Careermash · 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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