Up to ten £10,000 bursaries available for students studying MSc Data Science. Funded by the Office for Students (OfS), the scholarships are designed to support those from under-represented groups develop skills in data science and artificial intelligence.
The bursary can be set against tuition fees, living costs or a combination of the two and will be paid in three instalments during the academic year.
You must have already applied for the full-time MSc Data Science programme and have a postgraduate application number.
You are considered eligible for a bursary if one or more of the following criteria apply:
- female students
- black students
- disabled students
- students from POLAR4 Q1 and Q2 (UK students only) 
- care experienced student (UK students only) 
- estranged student (UK students only) 
- Gypsy, Roma, Traveller students (resident in the UK)
- refugees (resident in the UK)
- children from UK military families, veterans and partners of UK military personnel,
You will also need to be self-funding your degree and not in receipt of any other scholarship or sponsorship, including those from Loughborough University. A UK government master's loan is however, acceptable.
Please note: all applications will be assessed and priority will be given to those in groups a, b and c. Preference will also be given to UK students but not exclusively so.
How to apply
Please complete the application form below and quote your postgraduate application number. You will also need to write a brief supporting statement, which should outline:
- how you meet the above criteria
- your past achievements in academic, professional and extra-curricular activities
- your data science experience to date and any future career plans
- how you will benefit from the financial assistance offered by the bursary.
You should be prepared to provide documentary evidence in support of your statement/eligibility criteria if required (eg evidence of receipt of Disabled Students’ Allowances).
Bursary applications will be reviewed on a monthly basis. Given the limited number of awards, you are encouraged to apply as soon as possible. The first applications will be assessed at the beginning of July 2020 and applicants advised of the outcome within four weeks. Further application rounds will be held in August and September, subject to bursaries still being available.
If you are offered a bursary, you will be given two weeks to respond and accept the award. If no response is received by the end of the two-week period, the offer will be withdrawn.
How are applications assessed?
You must meet the eligibility criteria above and be from one of the under-represented groups listed. Priority will be given to those from groups a, b and c. Award decisions will also take into account academic excellence, as evidenced by your first degree, and other supporting information included within your application.
 POLAR is an acronym for Participation Of Local Areas, which is used in the UK higher education sector as a measure of disadvantage and is founded on postcode. The UK government compiles statistics on how many young people in different postcode regions typically go into higher education. The 20% of areas with the lowest participation rates are designated as “Quintile 1” (Q1) and the top 20% are “Quintile 5” (Q5). You can find whether your home address is within a Q1 or Q2 area here.
 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 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.
 The UK Office for Students defines "estranged students" as those 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.