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Students
Tuition Fee
GBP 17,975
Per year
Start Date
2025-09-01
Medium of studying
On campus
Duration
3 years
Program Facts
Program Details
Degree
PhD
Major
Computer Science | Artificial Intelligence | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 17,975
Intakes
Program start dateApplication deadline
2025-09-01-
2025-10-01-
2025-11-01-
2025-12-01-
2026-01-01-
2026-02-01-
2026-03-01-
2026-04-01-
2026-05-01-
2026-06-01-
2026-07-01-
About Program

Program Overview


Computer Science, MPhil/PhD

Join world-leading research teams with diverse expertise to study for a research degree in Computer Science (MPhil/PhD) at the University of Greenwich.


We offer advanced research training opportunities across a broad range of areas, including data science, cybersecurity, games, and numerical analysis.


Research activities are supported by three world-class research centres: the Centre for Sustainable Cybersecurity, the Centre for Safety, Resilience and Protective Security, and the Centre for Advanced Simulation and Modelling.


You will initiate and interpret new knowledge, led by your understanding of a substantial body of knowledge in your academic discipline. Recent projects by our research students span an incredibly diverse range of topics including the reliability of green energy systems, computational psychology, and advanced manufacturing processes. Once you complete your training, you'll be ideally suited to work in academic or industrial research environments.


School

Computing and Mathematical Sciences


Location

Greenwich Campus


Duration

  • 3-4 years full-time
  • 5-7 years part-time

Start month

  • September
  • October
  • November
  • December
  • January
  • February
  • March
  • April
  • May
  • June
  • July

Home/international fees 2025/26

  • £5,006 / £17,975

What you should know about this course

  • You study at our Greenwich Campus
  • You can enrol on the MPhil/PhD programme at any time during the academic year
  • Your MPhil registration is for 18-36 months full-time and 30-48 months part-time. The MPhil/PhD lasts 36-48 months full-time and 48-84 months part-time.

What you will study

Your PhD will centre on a specific research area and topic. With guidance from your supervisory team, you will select areas to study that align with your project. You may also attend extra classes or participate in training events to support your research. This can include seminars and workshops provided by the Faculty and your Research Centre. In addition, you will be part of the Postgraduate Researcher Development Programme (PGRDP). The PGRDP offers both mandatory and elective sessions designed to assist research students in enhancing their skills.


About the course team

The course is designed by the School of Computing and Mathematics, covering a wide range of fields including computer science, artificial intelligence, games development, and mathematics. The majority of our academics are members of our world-leading research centres. We have 10 professors in the school and a growing number of Fellows and Senior Fellows of the Higher Education Academy.


Entry requirements

  • An undergraduate (honours) degree with minimum 2:1 (or equivalent), or a Master’s degree with minimum 60% overall (or equivalent) in a relevant discipline.
  • Applicants who don’t meet the above but have significant experience may be considered subject to the approval of the Associate Dean for Research and Knowledge Exchange and the Programme Leader.

Further information about entry

  • Suitable applicants will be required to attend an interview.
  • Applicants will also be required to:
    • Provide a detailed research proposal of approx. 1,500 words (for scholarship applications, please see specific instructions in the advert and include the scholarship reference to the personal statement section).
    • Provide a Curriculum Vitae (CV).
    • Provide 2x academic or professional references.
  • Applicants are highly encouraged to identify and contact a potential MPhil/PhD supervisor. They will guide applicants through the application and help shape the research proposal. Where possible, include the name of the potential supervisor(s) contacted in research proposal and personal statement.

How you will learn

Teaching

This course creates a structured route into computing, mathematics, and data science research. Research students are provided with a specialist supervisory team to guide you through your research project. Your supervisors are usually research staff from within the faculty, although we may augment with academic staff from another department or from outside the university where appropriate.


Class sizes

The School of Computing and Mathematical Sciences is home to approximately 30 MPhil and PhD students across three research centres.


Independent learning

A research degree is a major piece of original work. Most of your study time will be spent working independently, with support from your supervisory team.


You may also wish to factor in other research activity, such as participation at seminars, events, and conferences, or working towards publications.


Overall workload

If you are studying full-time, you should expect the workload to be similar to a full-time job over a 3-year period. For part-time students, this will adjust accordingly.


Assessment

The MPhil/PhD Programme is assessed by a written thesis and a viva including an external examiner, an internal examiner, and a panel chair. For PhD study, you will register for the MPhil initially and undergo an upgrade review after a year of research to determine your readiness for full PhD registration.


Feedback summary

You receive regular feedback from your supervisory team, which meets formally every two weeks, but informally much more often. A faculty-level committee reviews your progress annually and helps to shape the direction of the project.


The oral examination (or viva) takes place a few weeks after the submission of the thesis and is assessed by an external researcher knowledgeable in the field of study.


Fees and funding

University is a great investment in your future. English-domiciled graduate annual salaries were £10,500 more than non-graduates in 2023 - and the UK Government projects that 88% of new jobs by 2035 will be at graduate level.


(Source: DfE Graduate labour market statistics: 2023/DfE Labour market and skills projections: 2020 to 2035).


Cohort | Full time | Part time | Distance learning
---|---|---|---
Home | £5,006 | £2,503 per year | N/A
International | £17,975 | £8,988 per year | N/A


Fees information


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


Scholarships and bursaries

We offer a wide range of financial help including scholarships and bursaries.


The Greenwich Bursary

This bursary is worth £700 for new undergraduate students with a low household income, entering Year 0 or 1 who meet the eligibility criteria.


The Greenwich Bursary


EU Bursary

Following the UK's departure from the European Union, we are supporting new EU students by offering a substantial fee-reduction for studying.


The EU bursary


Financial support

We want your time at university to be enjoyable, rewarding, and free of unnecessary stress, so 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.


Funding your studies


Careers and placements

What sort of careers do graduates pursue?

Graduates from this programme can pursue a wide range of career opportunities in industry, government, and academia.


Do you provide employability services?

We have a team dedicated to enhancing student employment outcomes. Our Employer Partnerships Manager develops relationships with companies to provide employment opportunities.


Support and advice

Academic skills and study support

Each student is assigned to at least two supervisors, of whom one is designated the lead supervisor. The supervisors would have complementary technical knowledge and project management experiences in the student's area of investigation. In addition, all members of related research Centre will provide advice and support as required. The Programme Leader will also provide general guidance and support, as will the teaching team. In many cases, industrial supervisors are included in the supervision team to provide timely industrial requirements, trends, knowledge, and support.


Support from the department

All students prepare a research proposal identifying a programme of work and the equipment and resources required. The School is fully equipped to support students across a range of disciplines, providing access to state-of-the-art industrial technologies during projects with our collaborators, including Diamond Light Source (DLS), European Synch Radiation Facility (ESRF), Ford Motor Co, Renishaw, Anton Paar UK Ltd, Constellium, Kaiser Aluminum, Rolls-Royce, BAE Systems, Phoenix Scientific Industries (PSI), Wartsila, Maher, Argos, European Space Agency (ESA), Faculty AI, Transforming Systems.


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