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Postgraduate Open Evening 5 March

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2025/26.

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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We received Gold in the Teaching Excellence Framework (TEF) 2023. This recognises our outstanding performance in student experience and outcomes.

Location

Greenwich Campus

Duration

  • 1 years full-time
  • 2 years part-time

Start month

September; January

Home /international fees 2024/25

£11,000 /£18,150

What you should know about this course

  • You will learn about many interesting topics in modern data science statistics, data visualisation, programming, machine learning, and data visualisation, plus application areas such as business intelligence.
  • We will provide you with the necessary tools to understand the in-depth theory behind data science and artificial intelligence.
  • Gain practical skills for careers within this specialised field.
  • Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

About our MSc Data Science


Want to find out more about studying a Master's in Data Science at the University of Greenwich? Hear from the course leader, Dr Tatiana Simmonds.

What you will study

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Course information is currently unavailable for this programme. Please contact course-info@gre.ac.uk for more information.

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

If you are

You should hold an undergraduate (honours) degree at 2:2 or above in a computer science, AI, data science, or a relevant STEM subject (e.g. physics, engineering, mathematics, statistics, IT)

OR substantial commercial/industrial experience including software development using modern programming languages and design.

Applicants who do not hold an undergraduate degree in computer science, AI, data science, or a relevant STEM subject, 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.

The University of Greenwich accepts a broad range of international qualifications for admission to our courses. If you cannot find your country on this list, please contact international@gre.ac.uk.

Choose your country:

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 £11,000 £1,850 per 30 credits N/A
International £18,150 £3,025 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.

Accommodation pages

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.

Financial support

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.

Accommodation information

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We've got plenty of other courses for you to choose from. Browse our postgraduate courses or check our related courses below.....

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Apply now

If you are a UK student or have settled/pre-settled status (EU) and you want to study full-time then you apply through the Universities and Colleges Admission Service (UCAS).

If you are a UK student or have settled/pre-settled status (EU) and you want to study part-time then you can apply directly via our online application form.

If you are from outside the UK, you can apply via UCAS, directly via our online application form or via one of our in-country representatives. If you require a student visa, you cannot study part-time at undergraduate level.