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BSc (Hons) Computer Science (Data Science)

University of Greenwich — London, United Kingdom

BSc (Hons) Computer Science (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): - You will learn the core algorithms underpinning data processing and develop analytical skills with statistical technologies to create solutions and applications in big data. - Gain valuable skills and the ability to design intricate algorithms and visualisations from large unstructured data. - Elicit, analyse, and specify requirements and master the mathematical and analytical foundations underpinning data. 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): Former students have secured placement years at HSBC Hong Kong, Kent Connects, Affiliate Window, CERN, Royal Museums Greenwich and Uctel. Career opportunities exist in many computing areas such as IT support, consultancy, internet and e-commerce applications. Graduates can expect to work as independent consultants or in teams with other computer professionals to build and support modern computing systems. Source: University of Greenwich course page and 2026-27 course fees table.

Modules

• Computer and Communication Systems (Year 1, 15 credits)
• Paradigms of Programming (Year 1, 30 credits)
• Algorithms and Data Structures (Year 1, 15 credits)
• Introduction to Compilers (Year 1, 15 credits)
• Principles of Software Engineering (Year 1, 15 credits)
• Mathematics for Computer Science (Year 1, 15 credits)
• Advanced Mathematics for Computer Science (Year 1, 15 credits)
• Advanced Programming (Year 2, 15 credits)
• Information Security (Year 2, 15 credits)
• Statistical Techniques with R (Year 2, 15 credits)
• Introduction to Artificial Intelligence (Year 2, 15 credits)
• Advanced Algorithms and Data Structures (Year 2, 15 credits)
• Operational Research: Linear Programming (Year 2, 15 credits)
• Computational Methods and Numerical Techniques (Year 2, 30 credits)
• Final Year Projects (Year 3, 60 credits)
• Machine Learning (Year 3, 15 credits)
• Information Visualisation and Big Data (Year 3, 15 credits)
• Artificial Intelligence Applications (Year 3, 15 credits)
• Statistical Techniques and Time Series (Year 3, 15 credits)