This course is subject to validation. You can still apply for this course while it is being approved.
University of Greenwich has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
Course summary
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.
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.
How to apply
29Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G408
- Institution code:
- G70
- Campus name:
- University of Greenwich (Greenwich Campus)
- Campus code:
- G
Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
- Year 3
Entry requirements
Qualification requirements
UCAS Tariff - 104 points
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.
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
Student Outcomes
Operated by the Office for Students
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
| 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 | £17500 | Year 1 |
| International | £17500 | 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
The Department for Education has indicated that it intends to raise the Home tuition fee limit from £9,250 to £9,535 for 2025/26.
These fees are currently set for 2025/26 entry. For more information, please visit: https://www.gre.ac.uk/finance/fees
Sponsorship information
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
Provider information
University of Greenwich
Old Royal Naval College
Park Row
Greenwich
SE10 9LS