This two-year MSc in Data Science with a placement year offers a unique blend of theory and practical experience, preparing students for careers in data science, artificial intelligence, and machine learning. The programme culminates in a professional placement, giving students the opportunity to apply their knowledge in real-world settings and engage with advanced industrial systems and practices. Designed for the global market, the course equips graduates with both academic expertise and valuable work experience, enhancing career prospects worldwide.
Students will study core topics such as big data, machine learning, programming fundamentals, ethics, data visualisation and statistical methods, alongside optional modules in areas like cloud computing, blockchain for FinTech, and modern database systems. Teaching is delivered by experts from the School of Computing and Mathematical Sciences, combining cutting-edge research with industry insights. A substantial MSc project allows learners to specialise further and demonstrate their skills.
Graduates are highly sought after across sectors including finance, healthcare, technology, and government, with roles ranging from Data Scientist and AI Specialist to Business Intelligence Consultant. With growing global demand for data professionals, this programme provides a strong foundation for a dynamic, future-proof career in one of the most rapidly evolving fields in technology.
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Tháng Một 2027
Greenwich Campus
Old Royal Naval College, Park Row,
Greenwich,
Greater London,
SE10 9LS, Southern England, United Kingdom
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Tháng Chín 2026
Greenwich Campus
Old Royal Naval College, Park Row,
Greenwich,
Greater London,
SE10 9LS, Southern England, United Kingdom
An undergraduate (honours) degree at 2:2, or above, in Computing, Computer Science, AI, Data Science, Mathematics, Physics, Engineering, Statistics, IT or a relevant STEM subject.
*Có thể có những yêu cầu khác nhau về IELTS tùy thuộc vào khóa học bạn chọn
Trường đại học Greenwich trang bị cho sinh viên kỹ năng làm việc và sự tự tin để chinh phục những điều phi thường.