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BSc (Hons) Data Science

University of Greenwich — London, United Kingdom

BSc (Hons) Data Science is a undergraduate Data Science & AI course at University of Greenwich, London, United Kingdom. It takes 3 years, costs £17,975 per year and starts in September.

Undergraduate · 3 years · Full-time · Data Science & AI · £17,975 per year

Intakes: September

What you should know (from the course page): - Study a course with a heightened focus on mathematical and statistical aspect of the data science field. - You will learn advanced programming, machine learning and artificial intelligence. - This course is specifically aimed at providing you with a wider knowledge, expertise, skills and understanding of the fast growing data science field. School: Computing and Mathematical Sciences Location: Greenwich Campus Duration: 3 years full-time 6 years part-time 4 years sandwich Start: September International tuition fee 2026/27: full-time £17,975; part-time £4,494 per 30 credits. Careers (from the course page): Students from Data Sciences have secured placement years at the Department for Work & Pensions, NHS England, NATS, Home Office, HMRC, Department of Health, GSK, Intel and Lloyds Banking Group. Career opportunities for this course are varied. Most industries are always on the lookout for graduates with intellectual, mathematical and numerical skills that can be applied to a wide range of practical situations. Source: University of Greenwich course page and 2026-27 course fees table.

Modules

• Our Mathematical World (Year 1, 30 credits)
• Calculus and Algebra (Year 1, 30 credits)
• Wealth and Poverty (Year 1, 30 credits)
• What are the Chances? (Year 1, 30 credits)
• Motion and Stability (Year 2, 30 credits)
• Data Science and Machine Learning (Year 2, 30 credits)
• Health and Disease (Year 2, 30 credits)
• Decision Mathematics and Data Analytics (Year 2, 30 credits)
• Machine Learning (Year 3, 15 credits)
• Responsible Artificial Intelligence (Year 3, 15 credits)
• Optimisation Techniques (Year 3, 15 credits)
• Advanced Optimisation Techniques (Year 3, 15 credits)
• Linear Models and Statistical Inference (Year 3, 15 credits)
• Research Methods and Mathematics Project (Year 3, 30 credits, optional)
• Mathematics Work Placement (Year 3, 30 credits, optional)
• Financial Time Series (Year 3, 15 credits, optional)
• Graph Theory and Applications (Year 3, 15 credits, optional)
• Bayesian Methods and Their Applications (Year 3, 15 credits, optional)