Office for Students funded Scholarship for conversion MSc in Computer Science (Artificial Intelligence)

University of Kent
United Kingdom
September 01, 2023
Contact:N/A
Offerd Salary:N/A
Location:N/A
Working address:N/A
Contract Type:N/A
Working Time:N/A
Working type:N/A
Ref info:N/A
Apply now Add to favorites Complain this post Share this post
Scholarship value

£10,000

Deadline

1 September 2023

Criteria
  • Undergraduate degree not from core-STEM subjects
  • Students from an under-represented background (e.g. female, black, disabled, low socio-economic background – see further details Eligiblitycriteria.pdf (kent.ac.uk)
  • Nationality or residency status that meets the postgraduate masters’ loan criteria (https: // www. gov.uk/masters-loan/eligibility).
    • Further details

    The Office for Students has launched a scholarship program that aims to boost the number and diversity of graduates in Artificial Intelligence. The scholarship program aims to increase diversity and address digital skills gaps in the workforce, which supports the government’s priority to invest in AI to encourage innovation in every sector and region.

    The School of Computing has been awarded 16 scholarships of £10,000 each, for eligible students for the 2023 start of our conversion MSc in Computer Science (Artificial Intelligence) program.

    Our programme offers Scholarships of £10,000 that are available for underrepresented students listed in the following eligibility criteria:

  • Female Students

  • Black students (Defined in line with the HESA student ethnicity codes)

  • 21 Black of Black British – Caribbean
  • 22 Black or Black British – African
  • 29 Other Black background
  • 41 Mixed – White and Black Caribbean
  • 42 Mixed – White and Black African
  • Disabled students (as defined under the Equality Act 2010)
  • Students from low socioeconomic background (Assessed through a 4-question form as recommended by the UK Guidance on measuring socio-economic background). Students from areas of the UK where young people are less likely to go on to higher education may be eligible. Please check if your home postcode fits into the POLAR quintiles 1 or 2 https: // www. officeforstudents.org.uk/data-and-analysis/young- participation-by-area/
  • Care experienced students
  • Estranged students
  • Gypsy, Roma, Traveller students
  • Refugees
  • Children from military families, veterans and partners of military personnel.

    • Previous Degree

    One of the goals of the scholarship scheme is to increase the supply of digitally skilled workers by converting graduates who did not study a STEM undergraduate degree. Therefore, this scholarship is not available for students with a core-STEM undergraduate degree. These include subjects such as computer science, physics, engineering, mathematics, statistics, IT.

    Students in “far-STEM” subjects, (e.g. biology, geology, psychology, medicine) or non-STEM subjects, are eligible.

    Eligible Countries

    The primary goal of these scholarships is to respond to the shortage of data science and AI specialists in the UK, by increasing the UK AI and Data Science workforce. Therefore, to be eligible for scholarship funding students must meet the nationality or residency status criteria to qualify for the postgraduate masters’ loan: https: // www. gov.uk/masters-loan/eligibility

    This OfS Scholarship cannot be combined with other Scholarships the University may offer.

    How to apply

    In order to apply for this scholarship you must have made an application for a programme of study at IPP login screen (kent.ac.uk). Providing you meet the above eligibility criteria, you will then be able to apply for this scholarship via your applicant portal. We will be using a rolling application process where we will make decisions on the applications received each month. When the 16 Scholarships have been allocated, we will then close the Scholarship application process. Please direct any enquiries to [email protected].

    From this university

    Recent blogs

    Recent news

    This site uses cookies to deliver our services and to show you relevant ads and job listings. By using our site, you acknowledge that you have read and understand our Privacy Policy, and our Terms and Conditions. Your use of FundGates’s Products and Services, is subject to these policies and terms.
    If you do not use the cookie, some functions may not work properly.

    OK Close