Fees and funding
We are keen to recruit the very best talent from all over the world. Find details of tuition fees and opportunities for scholarships and financial support for our Postgraduate Research students.
Tuition fees and costs
Annual tuition fees are listed on the Postgraduate Study Programme Fees pages related to your desired exit level and duration of study.
- MSc by Research - 1 Year (Full-time)
- MSc by Research - 2 years (Part-time)
- PhD Education - 3 Years (Full-time)
- PhD Education - 6 Years (Part-time)
- PhD Sport, Physical Education and Health Sciences - 3 Years (Full-time)
- PhD Sport, Physical Education and Health Sciences - 6 Years (Part-time)
Scholarships and funding
Scholarship opportunities are subject to change each year. We are pleased to offer a number of scholarships, but students are encouraged to seek out opportunities from the University and external funding bodies. Please check back regularly for details of scholarships as these are announced on an ad-hoc basis.
Applicants may apply for as many of the awards as they wish, providing they are eligible. If successful, an applicant who has applied for multiple awards will only be awarded one. Subject to satisfactory progress, all scholarships are awarded for three years.
Other scholarships and funding
Scholarships and funding are subject to change. The following are displayed as indicative of scholarships offered in previous years.
'The University of Data: Ethical and Social Futures of Data-Driven Education' - Baillie Gifford Data Ethics studentship
The Edinburgh Futures Institute, the School of Social and Political Science and Moray House School of Education and Sport are delighted to invite applications for this PhD studentship, which will be supervised by Dr Karen Gregory (Digital Sociology) and Dr Jen Ross (Digital Education). This studentship will explore higher education as a site of data-driven innovation and ethical debate. It will be informed by three key research questions: What does the data-driven university look like? How are AI and data futures being proposed for the university, and by whom? What messages about AI, datafication, and ethics are being communicated to students, and what difference do these make to their experiences during and after university?
Scottish Graduate School of Social Science Studentships
Inequalities in science education
In collaboration with the Scottish Government Education Analytical Services, this studentship will examine the influence of family and school factors (in particular, pedagogical practices) in shaping sex and social inequalities in young people’s choice and attainment in STEM subjects. The project will use a unique new data set which links PISA and Scottish Qualification Authority (SQA) data on exam results and subject choices. The PhD student will be supervised by Professor Cristina Iannelli (MHSES) and Professor Lindsay Paterson (SPS).
Disentangling the importance of various factors on educational outcomes
This studentship will analyse the effects of individual, family and neighbourhood factors on young people’s educational outcomes. The project will benefit from a new longitudinal data set of about 20,000 siblings which was created by linking information from administrative data sources. The PhD student will be supervised by Professor Cristina Iannelli and Dr Adriana Duta.
Carnegie/Caledonian PhD Scholarships
Applicants must apply for this award directly to the College. The scholarship deadline is 23:59 GMT 28th January 2021.
The University of Edinburgh Graduate Discount Scheme
The University offers a 10% discount in postgraduate degree tuition fees for alumni who have graduated with an undergraduate degree from the University of Edinburgh.
University of Edinburgh Postgraduate Funding Opportunities
You may be eligible for other scholarships, loans or other funding schemes from the University of Edinburgh or an external organisation.
Opportunities to contribute to teaching may become available for PhD students who have completed their first year of study and undertaken the relevant training. Such opportunities vary from year to year and are not guaranteed.