Saturday 21 March Open Day - Greenwich Campus
21 Mar 2026, 10:00
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Unlock your future with a degree in Computing (Data Science). Master data science, machine learning, and AI to tackle real-world challenges on a global scale.
Our degree in Computing (Data Science) is designed to provide students with a comprehensive foundation in data science, information retrieval, and machine learning. It will equip you with the skills to apply data science and AI theories, along with data handling techniques, to analyse and solve real-world problems. By integrating computing, analytical techniques, and problem-solving skills, you will be prepared for a diverse range of employment opportunities.
Throughout this course, you will gain a deep understanding of the core principles of computing and develop the ability to critically apply this knowledge within a multinational context. The curriculum is structured to ensure that you are well-versed in the latest advancements and applications in the field of Data Science.
Indicative modules also cover key areas such as Data Analytics and Visualisation, AI concepts, Algorithms and Data Structures. These subjects are designed to familiarise you with the main concepts, theoretical background, and numerous applications in science and engineering. You will explore a wide range of machine learning approaches and algorithms, evaluating and comparing their performances and suitability for various tasks and data types. Special attention is given to supervised and unsupervised algorithms and their applications in real-world environments, helping you identify and evaluate optimal approaches.
By the end of this course, you will be equipped with the skills to analyse complex data, make informed decisions, and contribute to innovative solutions in a global setting. Whether you aim to start a new career, advance in your current role, or enhance your analytical capabilities, our degree in Computing (Data Science) offers the knowledge and expertise needed to succeed in the dynamic field of Data Science.
What you should know about this course
Study a course that focuses on solving real-world problems using data-driven techniques
Gain a solid foundation in data science, machine learning and AI
Equip yourself with the expertise needed for diverse career paths
Apply computing knowledge in a multinational environment.
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.
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.
The following entry points are available for this course:
We make Contextual offers to this programme. Applicants that meet specific eligibility criteria will be made a contextual offer with a reduced tariff of up to 16 UCAS Tariff points. For further information, please see our Contextual Admissions policy.
We also accept applications if you wish to transfer from another institution, and have already studied 1 or 2 years of a relevant course at level 4 or 5 and wish to continue your education at the University of Greenwich.
Find out more about qualification requirements for this course.
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
Our vision is to deliver Education Without Boundaries by proactively supporting students to achieve their ambitions which is reflected in the wide range of grades we accept and our contextual admissions policy. Our commitment to supporting our students to succeed is demonstrated in our Gold rated Teaching Excellence Framework.
We accept a wide range and combination of qualifications, many of which are not included in the data below. Learn more about our approach to admissions on our website.
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
| Location | Fee | Year |
|---|---|---|
| England | £9535 | Year 1 |
| Northern Ireland | £9535 | Year 1 |
| Scotland | £9535 | Year 1 |
| Wales | £9535 | Year 1 |
| Channel Islands | £9535 | Year 1 |
| Republic of Ireland | £9535 | Year 1 |
| EU | £17975 | Year 1 |
| International | £17975 | 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.
These fees are currently set for 2026/27 entry. For more information, please visit: https://www.gre.ac.uk/finance/fees
The government regulated undergraduate home tuition fee rate for 2026-27 has not been confirmed. We expect the tuition fee to be the same or slightly higher than £9,535 for 2025-26 shown here.
We understand that the transition to university for undergraduate students can be daunting and 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
Old Royal Naval College
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Greenwich
SE10 9LS
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