Data Science, MSc
Our MSc in Data Science equips graduates to embark on highly skilled careers in data science, artificial intelligence and machine learning.
This specialist Master's in Data Science provides a theoretical knowledge of data science alongside the practical skills that will help you prosper in the jobs market.
You'll be exposed to a broad range of topics such as data science, statistics, specialist programming, machine learning and data visualisation.
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Location
Duration
- 1 years full-time
- 2 years part-time
Start month
September; January
Home /international fees 2025/26
£11,325 /£18,700
What you should know about this course
What you will study
About the course team
Welcome to our Masters in Computer Science (Data Science), which is taught from within the School of Computing and Mathematical Sciences. Your teaching team includes academics and practitioners with experience in various aspects of Computer Science such as Big Data. The majority of the team holds a teaching qualification.
Come and meet us
We are offering virtual events so that you can still experience how Greenwich could be the right university for you.
Next Open Days
Got a question?
To find out more about our Open Days and Campus Tours or if you need any assistance, please email opendays@gre.ac.uk.
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, a specialist course designed for applicants from any background.
For more information, use our contact form or call us on 020 8331 9000.
You can also read our admissions policy.
Further information about entry
We welcome applications from mature students and/or students with professional work backgrounds.
Available to overseas students?
Yes
Can I use Prior Learning?
For entry: applicants with professional qualifications and/or four years of full-time work experience will be considered on an individual basis.
For exemption: If you hold qualifications or courses from another higher education institution, these may exempt you from courses of this degree.
How you will learn
Teaching
In a typical week, learning takes place through a combination of lectures, tutorials and practical work in the labs. You'll be able to discuss and develop your understanding of topics covered in lectures in smaller group sessions, and to put your knowledge into practice in our specialist computer laboratories.
Teaching hours may fall between 9am and 9pm, depending on your elective courses and tutorials.
Class sizes
Lectures are usually attended by larger groups and seminars/tutorials by smaller groups. This can vary more widely for modules that are shared between degrees.
Independent learning
Outside of timetabled sessions, you'll need to dedicate time to self-study to complete coursework, and prepare for presentations and exams. Our Stockwell Street library and online resources will support your further reading and research.
You can also join a range of student societies, including our Computer and Technology Society, Gre Cyber Sec, Forensic Science Society, and Games Development Society.
Overall workload
Your overall workload consists of lectures, tutorials, labs, independent learning, and assessments. For full-time students, the workload should be roughly equivalent to a full-time job. For part-time students, this will reduce in proportion with the number of modules you are studying.
Assessment
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.
Feedback summary
We aim to give feedback on assignments within 15 working days.
Dates and timetables
The academic year runs from September to the end of August, as the students are working on their project full-time during the summer months.
Full teaching timetables are not usually available until term has started. For any queries, please call 020 8331 9000.
Fees and funding
Your time at university should be enjoyable, rewarding, and free of unnecessary stress. Planning your finances before you come to university can help to reduce financial concerns. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.
| Cohort | Full time | Part time | Distance learning |
|---|---|---|---|
| Home | £11,325 | £1,887 per 30 credits | N/A |
| International | £18,700 | £3,117 per 30 credits | N/A |
Accommodation costs
Whether you choose to live in halls of residence or rent privately, we can help you find what you're looking for. University accommodation is available from £126.35 per person per week (bills included), depending on your location and preferences. If you require more space or facilities, these options are available at a slightly higher cost.
Funding your study
There is a range of financial support options available to support your studies, including the Aspire@Greenwich award for study resources that many full-time students will receive.
EU students may be eligible for a bursary to support their study. View our EU bursary to find out more.
Discover more about grants, student loans, bursaries and scholarships. We also provide advice and support on budgeting, money management and financial hardship.
If there are any field trips, students may need to pay their travel costs.
Careers and placements
What sort of careers do graduates pursue?
Graduates from this Computer Science course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of data science, including their application to modern artificial intelligence systems.
Do you provide employability services?
Our services are designed to help you achieve your potential and support your transition towards a rewarding graduate career.
The Employability and Careers Service provides support when you are preparing to apply for placements and graduate roles. It includes CV clinics, mock interviews and employability skills workshops.
Each School also has its own Employability Officer, who works closely with the industry and will provide specific opportunities relevant to your own course.
Support and advice
Academic skills and study support
We want you to make the most of your time with us. You can access study skills support through your tutor, lecturers, project supervisor, subject librarians, and our academic skills centre.
We provide additional support in Mathematics.
Support from the department
As a Computing and Mathematical Science School student you can enter our Oracle mentoring scheme. This helps students to liaise with industry for advice on careers, professional insight, guidance in looking for jobs, and developing employability and presentation skills.
Not quite what you were looking for?
We've got plenty of other courses for you to choose from. Browse our postgraduate courses or check our related courses below.....
Computer science at the University of Greenwich
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Visit our computer science degrees page.
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