The Centre deploys a 1+3 model of training with the first year consisting of a series of core and optional Masters level modules and research project-shaping dissertation alongside bespoke initiatives aimed at instilling the theory and practice of responsible, human-centred research exploration. At the end of the first year, our students have the requisite technical knowledge and skills and outlook to embark on their PhD research programme.

During the three years of PhD training, our cohorts engage and organise activities aimed at building collaborative bonds within and between cohorts, and at developing their ability to continually test and challenge their research progress in the light of the driving—human-first—perspective of the Centre.

To apply, please email your application to EPSRC-CDT-Enhance-Apply@swansea.ac.ukYour application must include the following attachments in pdf form:

  1. CV
  2. Degree certificates and transcripts (if you are still an undergraduate, provide a transcript of results known to date)
  3. A statement no longer than 2 pages of A4 in length that explains why you want to join our Centre and what you will bring to our community. You should outline the sorts of AI and big data challenges you are interested in and which of our challenging contexts that particularly appeal to you. You do not need to specify a detailed research plan at this time though as this will be shaped during the first year.
  4. Completed Scholarship Application Form
  5. Academic references – all scholarship applications require two supporting references to be submitted.  Please ensure that your chosen referees are aware of the funding deadline, as their references form a vital part of the evaluation process.  Please either include these with your scholarship application or ask your referees to send them directly to EPSRC-CDT-Enhance-Apply@swansea.ac.uk
  6. A complete Equality, Diversity and Inclusion Form

You should have an aptitude and ability in computational thinking and methods including the ability to write software or enthusiasm to learn how to do so. While such aptitude might be evidenced by a degree in Computer Science, Engineering or Mathematics, we are building a community that aspires to have a high degree of diversity of perspective. So, if you have a background in the Arts and Humanities; Social Sciences; Law; Management etc then please be encouraged to apply. The minimum entry requirement is a 2.1 undergraduate degree. For non-native English language speakers, an IELTS average score of 6.5 with no less than 6.0 in any element is required.

For future AI and big data technologies to serve society and the economy effectively, they will need to be created and critiqued by a diverse and wide set of perspectives as possible: we welcome applications from anyone who feels they can help in the mission of the Centre.

This year, we have 11 fully funded places (fees plus maintenance stipend set at the UKRI rate, currently £15,285 per annum for 2020/21 for full-time students, updated each year). Places are also available for those in receipt of four-year external funding.

This scholarship is open to UK and international candidates (including EU and EEA).

For more information on this, please visit: https://www.swansea.ac.uk/postgraduate/taught/science/computer-science/msc-human-centred-big-data-and-ai/#featured-course-content-overview

For an informal discussion about your application, please contact the Centre Director Professor Matt Jones (Director-Enhance-CDT@swansea.ac.uk) or CDT Project Manager Dr Sherryl Bellfield (s.l.bellfield@swansea.ac.uk)