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Data Science with Placement Year at University of Greenwich - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

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.

Modules

All degree courses are made up of modules – individual units of study on different topics. Some modules are compulsory; others can be chosen from a list of options. Our website has full details of your degree structures, module content, and how each module is assessed. The direct link to this course on our website, can be found at the bottom of this page.

Assessment method

Students are assessed through a combination of assessment methods depending on the modules chosen. Some courses may also include 'practice' assignments, which help you monitor progress and do not count towards your final grade. Our website has full details of your degree structures, module content, and how each module is assessed. The direct link to this course on our website, can be found at the bottom of this page.


Entry requirements

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.


English language requirements

We accept a wide range of English language qualifications. For our English entry requirements, please click on the link below.

https://www.gre.ac.uk/international/help-and-support/courses


Fees and funding

Tuition fees

Channel Islands £14950 Year 1
Republic of Ireland £14950 Year 1
England £14950 Year 1
Northern Ireland £14950 Year 1
Scotland £14950 Year 1
Wales £14950 Year 1
EU £22600 Year 1
International £22600 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

These fees are currently set for 2026/27 entry. For more information, please visit: https://www.gre.ac.uk/finance/fees

Sponsorship information

We understand that the transition into postgraduate study can be confusing when it comes to finances. The University of Greenwich has a wide range of bursaries, scholarships and other financial support measures to support students that require it most. More information can be found on our website at www.greenwich.ac.uk/finance/funding-your-studies

Data Science with Placement Year at University of Greenwich - UCAS