2027 Martingale Scholarship in UK | Fully Funded

The Martingale Foundation is accepting applications for scholarships supporting postgraduate study from 2027. Its programme includes mathematical sciences and artificial intelligence. The scholarship is aimed at applicants who face financial barriers to research careers. Applications close at 11.59pm on 18 October 2026.

Scholarship summary

• Location: United Kingdom.
• Provider: Martingale Foundation.
• Level: Eligible master’s and PhD programmes.
• Funding: Fully funded scholarship places.
• Deadline: 18 October 2026, 11.59pm.
• Fee status: Home Fee status required.

Check the eligibility rules

Applicants need a first or upper-second-class result, or equivalent, in their most recent relevant taught degree. Other rules cover Home Fee status, school history in the UK or Ireland, state-funded schooling or a bursary covering at least 90% of private school fees, and financial barriers including household income of £45,000 or less. Eligible refugees have an exception to the school-history requirement.

How the process works

Apply to Martingale first. Shortlisted applicants are interviewed. Successful Qualified Candidates then apply to eligible partner courses through university admissions. University admission and final funding allocation remain separate decisions. Read the current programme brochure to check available subjects and courses.

Is this the right opportunity for you?

This scholarship needs careful eligibility checking before you spend time on the form. Make a list of the criteria and the evidence you have for each one. If a point is unclear, ask Martingale rather than assuming that living in the UK makes you eligible. Fee classification and educational history are specific requirements that should be checked using the current guidance.

Also consider whether you want the kind of postgraduate study on offer. Research involves exploring questions that may not have simple answers. Think about whether you enjoy working through difficult ideas, testing explanations and learning from results that do not match your expectations. Use your previous studies to assess what interests you and where you need further preparation.

Choose an academic direction

Write down the topics that have held your attention during your degree or independent study. For each topic, identify a question you would like to understand better. This can help you move beyond a broad interest in mathematics or AI. You do not need to pretend that your interests are fixed forever, but you should be able to explain why a particular area matters to you.

For example, an applicant interested in machine learning could discuss a project that raised questions about model reliability, data quality or evaluation. A mathematics applicant might explain how a module or dissertation led to an interest in a particular theory. These are preparation examples. They are not a list of preferred subjects or a promise that one topic is more likely to win funding.

Use projects as evidence

Choose one or two projects that show how you think. Explain the question you explored, the approach you used and what you learned. If you worked in a group, identify your contribution. If the work had limitations, explain them. Recognising a weakness in an experiment or argument can show good judgement when you also explain how you would improve it.

Avoid making the description a list of tools. Saying you used Python, statistical software or a simulation package does not explain the academic value of the work. Describe why you used the method and what the output told you. Clear reasoning helps the reader understand your potential even if they do not work in your exact subject.

Explain your motivation for postgraduate study

Connect your interests to the training you hope to gain. A useful answer explains what you understand already and what you want to explore next. If you want a master’s before deciding on a PhD, explain why that stage would help. If you are applying for doctoral study, describe the research direction and the preparation that supports it.

Do not rely only on the reputation of a university or the popularity of AI. Explain what you would do with the opportunity. You might want stronger mathematical foundations, experience developing a research question or deeper knowledge of a specialist area. Use reasons that fit your own academic journey.

Prepare financial information carefully

Read the financial questions before gathering documents. Check which year, income category or funding record the form asks for. Use the matching evidence rather than the first document you find. Keep notes explaining any figures that may be difficult to understand. Accurate information makes it easier for the provider to assess your circumstances fairly.

If your situation does not fit a standard question, seek guidance and explain it plainly. Avoid leaving a blank that could look like an oversight. Do not guess figures or change them to fit an expected threshold. If evidence is missing, follow the official instructions about what can be submitted later and what must be available at the next stage.

Select referees who know your work

Ask people who can discuss your academic ability and readiness for further study. Give them information about the scholarship and your intended subject. Remind them of relevant coursework, projects or research they supervised. This helps them prepare a specific reference without telling them what assessment to give.

Keep their contact details accurate and ask permission before listing them. If a referee has changed institution, check the best current email address. Follow the provider’s instructions for when references are requested. Give referees enough notice so they can respond within the relevant timeframe.

Prepare for an academic interview

Practise explaining your work in simple language. Start with the question, then describe the approach and the result. Be ready to discuss a choice you made and an alternative you considered. If you do not know an answer, explain how you would approach the problem instead of pretending to know.

Think about what you could contribute to a group of scholars. Examples might include sharing a useful skill, helping organise study discussions or learning from people in different subjects. Choose contributions you would actually enjoy making. You do not need to describe yourself as an expert to show that you can be a thoughtful and reliable peer.