Course summary
Our MSc degree in Data Science and its Applications is designed to provide students with a solid grounding in data science theory and practice. Our MSc in Data Science and its Applications course has been designed to increase the skilled workforce and diversity of qualified data science experts in the global market regardless of your academic background. Whether transitioning into data science roles or exploring specialised areas, this course equips you with practical skills to analyse, solve, and evaluate data-heavy projects – essential for both employment and further studies. Explore a range of captivating topics in modern data science and apply your data handling skills to real-world issues across various fields. This one-year full-time, 2-year part-time course offers flexibility with optional modules in different data science applications, allowing you to tailor your learning to your interests and career goals. Graduates find opportunities in private and public companies, government, and non-governmental organisations. Join us on this dynamic learning journey and unlock the potential of data science for your future career. What you should know about this course
- Tailor the programme to your areas of interest and career aspirations - choose from a number of optional modules in different applications of data science
- Study a course that will help you move into a career in a computer related subject
- Gain a solid foundation in programming and mathematical skills needed to move to a career in Data Science and its applications
- Enhance your employability prospects in a fast-growing application sector.
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
On this course, students are assessed by coursework, examinations and a project. Some modules may also include 'practice' assessments, presentations, demonstrations, and reports, which help you to monitor progress and make continual improvement.
Entry requirements
An undergraduate (honours) degree at 2:2 or above, in any non-STEM (e.g economics, business, arts) or far-STEM subject (e.g. biology, georgaphy, psychology, medicine), and GCSE Mathematics grade 4/C or equivalent. Applicants who hold an undergraduate or postgraduate degree in the same broad subject area as this course (e.g computer science, AI, data science) or in a core-STEM subject (e.g. physics, engineering, mathematics, statistics, IT) will be considered for MSc Data Science, a specialist course designed for applicants with this 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
| England | £11325 | Whole course |
| Northern Ireland | £11325 | Whole course |
| Scotland | £11325 | Whole course |
| Wales | £11325 | Whole course |
| EU | £18700 | Whole course |
| International | £18700 | Whole course |
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 2025/26 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
Provider information
University of Greenwich
Old Royal Naval College
Park Row
Greenwich
SE10 9LS