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BSc Computer Science (Artificial Intelligence and Data Science)
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.
Syllabus & Modules
Typical curriculumStudent Satisfaction
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