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University of Greenwich · Sandwich

Data Science with Placement Year

Gain cutting-edge data science expertise and real-world experience with an MSc that includes a transformative placement year. This two-year MSc in Data Science with a placement year offers a unique blend of theory and practical experience, preparing students f…

MSc2 yearsSandwich

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School of Computing and Mathematical Sciences · Computing

Gain cutting-edge data science expertise and real-world experience with an MSc that includes a transformative placement year. 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 begins with an individual project and 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, 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. What you should know about this course - Gain hands-on experience with a professional placement, applying data science skills in real-world industry settings. - Master big data, machine learning, data visualisation and ethics, plus optional modules like cloud computing, blockchain, and modern databases. - Learn from leading academics and industry experts, combining cutting-edge research with practical insights and applications. - Prepare for roles like Data Scientist, AI Specialist, and BI Consultant in one of the fastest-growing global tech sectors. - You are responsible for securing your placement (with our help). But if this is not completed, you can still graduate with an award without placement year.

Getting in

As the university states it

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. Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered. Applicants with a degree in another discipline should consider MSc Data Science and its Applications, [https://www.gre.ac.uk/postgraduate-courses/engsci/data-science-and-its-applications-msc] a specialist course designed for applicants from any degree background.

Worth reading next

Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.