Skip navigation
Data Science at University of Greenwich - UCAS

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

Course summary

Our MSc in Data Science equips graduates to embark on highly skilled careers in data science, artificial intelligence and machine learning. Our MSc in Data Science is a forward-thinking programme designed to equip you with the technical skills, analytical mindset, and ethical awareness needed to thrive in today’s data-driven world. Whether you're looking to transition into data science or deepen your expertise, this course offers a rich blend of foundational knowledge and emerging technologies. You’ll begin with core modules that build your expertise in programming, machine learning, big data, data visualisation, and statistical methods for time series analysis. You’ll also explore the ethical dimensions of data science and develop essential academic and professional skills to support your success. The programme culminates in a substantial MSc Project, where you’ll apply your learning to a real-world challenge. To tailor your experience, you’ll choose one module from each of two specialist groups. In the first, you can explore either Clouds, Grids and Virtualisation or Blockchain for FinTech Applications—both offering insight into the technologies shaping the future of data infrastructure and finance. In the second, you’ll choose between Technologies for Anti-Money Laundering and Financial Crime or Graph and Modern Databases, allowing you to specialise in either financial data applications or advanced database systems. All modules include scheduled lab sessions, ensuring that you gain hands-on, practical experience throughout your studies. We also provide dedicated machines specifically for data scientists, capable of handling large datasets and complex computations—so you’ll be working in an environment that mirrors real-world industry settings. You’ll be studying on an incredible campus, alongside a diverse and international cohort. Many of our students come from industry backgrounds and are returning to formal education to advance their careers, creating a rich learning environment where ideas and experiences are shared across generations and cultures. Beyond the academic and practical benefits, investing in a master’s degree can significantly boost your career prospects. Graduates with an MSc typically command higher starting salaries than those with only a bachelor’s degree, making your one-year investment in further study a smart and rewarding decision. What you should know about this course

  • You will learn about many interesting topics in modern data science statistics, data visualisation, programming, machine learning, and data visualisation, plus application areas such as business intelligence.
  • We will provide you with the necessary tools to understand the in-depth theory behind data science and artificial intelligence.
  • Gain practical skills for careers within this specialised field.

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 £11800 Year 1
Republic of Ireland £11800 Year 1
England £11800 Year 1
Northern Ireland £11800 Year 1
Scotland £11800 Year 1
Wales £11800 Year 1
EU £19450 Year 1
International £19450 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 at University of Greenwich - UCAS