Students Funded Scholarship for MSc

Office for Students Funded Scholarship for MSc in Applied Artificial Intelligence and Data Analytics – September 2024 Intake

This funding from the Department for Science, Innovation and Technology (DSIT) and Office for Artificial Intelligence (OAI) is being awarded by the Office for Students (OfS) to universities to deliver the AI and data science scholarships. Scholarship funding is only intended for those underrepresented self-funded students listed in the eligibility criteria below.

 Study level: Postgraduate Taught
 Academic entry year: 2024/25
 Apply by: 30-Aug-2024
 Attendance of study: full-time
 Available to: prospective students
 Scholarships available: 25 scholarships available

Find out how to apply

Applicable courses

MSc in Applied Artificial Intelligence and Data Analytics (with placement)

Please note, you must have either a conditional or unconditional offer on the MSc in Applied Artificial Intelligence and Data Analytics of a place BEFORE to applying for this scholarship. Please do not submit an application unless you have an offer letter on the above-mentioned programme.

Eligibility

In addition to having either an unconditional or conditional offer for a place on the University’s MSc in Applied Artificial Intelligence and Data Analytics course (with placement), starting in September 2024, applicants will need to demonstrate that they are categorised under at least one of the 9 underrepresented groups as identified by the OfS.  Please study this list carefully.  Home students may apply against any of the 9 criteria.

(1) Black students

(2) Disabled students

(3) Female students

(4) Students from low socioeconomic background (Index of Multiple Disadvantage quintiles 1 and 2, low household income

(5) Care Experienced Students

(6) Refugees given the sanctuary status of the university

(7) Estranged students

(8) Gypsy, Roma, Traveller students

(9) Children from military families, veterans and partners of military personnel.

Prioritising criteria in case of oversubscription

  1. Students with 2 or more underrepresented group characteristics.
  2. Care leavers based on the rationale that they are the most underrepresented group within University of Bradford and underrepresented in highly skilled employment.
  3. Black students based on the rationale that they are the 2nd most underrepresented group within University of Bradford and underrepresented in highly skilled employment.
  4. Disabled students based on the rationale that they are the 3rd most underrepresented group within University of Bradford and underrepresented in highly skilled employment.
  5. Female students based on the rationale that they are underrepresented in the digital sector although not underrepresented within the student body at University of Bradford.
 View eligible countries
  • Anguilla
  • Bermuda
  • British Antarctic Territories
  • British Indian Ocean Territory
  • British Virgin Islands
  • Cayman Islands
  • England
  • Falkland Islands (Malvinas)
  • Gibraltar
  • Montserrat
  • Northern Ireland
  • Pitcairn, Henderson, Ducie and Oenno Islands
  • Scotland
  • St Helena, Ascension and Tristan da Cunha
  • Turks & Caicos Islands
  • Wales

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