Queen Mary, University of London - Office for Students Scholarship

We use cookies to give you the best online experience. Please let us know if you agree to these cookies. By continuing to browse our site, we assume you agree to cookie usage.

Office for Students Scholarship
Scholarship Name Office for Students Scholarship
Academic Year 2021
Scholarship amount £10,000
Nationality Any
Scholarship Deadline 13 August 2021

About the award

Level: Masters
Course: MSc Data Science and AI Conversion Programme
Country: All
Value: £10,000
No. of awards: 7
Deadline: 13 August 2021

More information

These scholarships are for under-represented groups in the field of Data Science and Artificial Intelligence and to be eligible you need to be a member of at least one of the under-represented groups mentioned below.

Level: Masters
Course: You must have applied or have an offer to study on the MSc in Data Science and AI conversion programme.  With regret, students with offers of study for other programmes cannot be considered for this scholarship.
Country: Home / EU / International
Value: £10,000
No of awards: 7 for the academic year 2021-2022
Deadline: For students applying for the September 2021 intake, you should submit your application before 13 August 2021.

Eligibility criteria

To be eligible you need to be a member of at least one of the under-represented groups mentioned below. All applications will be assessed and priority will be given to those in groups a, b and c. Preference will also be given to students resident in the UK, but not exclusively so. In the event that we have more eligible applicants than scholarships, funding decisions will be made based on your written personal statement provided in your scholarship application as well as on academic merit.

a. Female student
b. Black student
c. Registered disabled students
d. Students from POLAR Q1 and Q2 (UK students only) [1]
e Care experienced student (UK students only) [2]
f. Estranged student (UK students only) [3]
g. Gypsy, Roma, Traveller student (resident in the UK)
h. Refugees (resident in the UK)
i. Children from UK military families, veterans and partners of UK military personnel.

[1] POLAR is an acronym for Participation Of Local Areas, which is used in the UK Higher Education (HE) sector as a measure of disadvantage? It is founded on postcode. The UK Government compiles statistics on how many young people in different postcode regions typically go into HE. The 20% of areas with the lowest participation rates are designated as “Quintile 1” (Q1), the top 20% are “Quintile 5” (Q5), and so on. 

[2] A "Care Experience Student" is a student who has been, or is currently, in care, or from a looked-after background, at any stage in their life, no matter how short, including adopted children who were previously looked-after. This care may have been provided in a one of many different settings such as in residential care, foster care, kinship care, or through being looked-after at home with a supervision requirement.

[3] The UK Office for Students defines "estranged students" as students between the age of 18 to 24 who are not communicating with either of their parents. Consequently these students lack the support of a wider family. They may be estranged before entering higher education but can also be at risk of estrangement or becoming estranged during their studies.

How do I apply?

You must have already applied for the MSc Data Science and Artificial Intelligence conversion programme. Please do not apply if you have an offer for any other programme e.g. MSc AI or MSc Big Data Science as your application won’t be considered. You will need a Queen Mary University of London student ID number (which you receive as part of the application process) to be able to apply for the scholarship.

add to favourites

SI-UK's service is fast, reliable and efficient. Their consultants are specialists, working closely with all UK universities and, through my consultants advice and application assistance, I was able to receive offers from my favoured universities.

Carla Termini King's College London, Accounting and Finance

  • Study at University of Glasgow
  • Study at University of Kent
  • Study at University of Oxford
  • Study at University of East Anglia
  • Study at London School of Economics
  • Study at University of Liverpool
  • Study at University of Liverpool
  • Queen's University Belfast
  • University of Birmingham