Course summary
This online masters in Data Science will provide you with the skills and knowledge needed to build and advance your career in data science, data analytics and machine learning. The MSc Data Science (Online) is designed to equip you with the analytical, technical, and problem-solving skills needed to extract meaningful insights from data and make evidence-based decisions in any sector. Designed for individuals from non-STEM backgrounds, this fully online programme provides a flexible route to study, supporting you to balance learning with work and your personal commitments. Data Science is a well-sought and an increasingly important discipline in today’s world. Throughout the course you will explore in depth theoretical knowledge alongside practical skills, enabling you to build confidence and tackle real-world data challenges. Whether you’re looking to enter a career in data science or advance your current expertise, this programme provides the skills and knowledge to succeed. Delivered through an engaging learning environment you will cover a broad range of topics including programming, visualisation, big data and ethics. We are initially accepting applications from students in UK, India, Pakistan, Nigeria, Bangladesh and Republic of Ireland. If you are not eligible, please consider our on-campus courses, additional countries will be eligible next year. What you should know about this course
- Our course is designed and led by experienced experts.
- Comprehensive student support and global peer collaboration.
- 100% online – study anywhere, anytime.
- You can begin your studies in September, January and April.
- Option to graduate in person at our beautiful Greenwich campus, a UNESCO World Heritage Site, situated in London.
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.
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
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 | £1850 | Module |
| Republic of Ireland | £1850 | Module |
| England | £1850 | Module |
| Northern Ireland | £1850 | Module |
| Scotland | £1850 | Module |
| Wales | £1850 | Module |
| EU | £1850 | Module |
| International | £1850 | Module |
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
Tuition fee is £1850 per 30 credit module.
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
Provider information
University of Greenwich
Old Royal Naval College
Park Row
Greenwich
SE10 9LS