The DeepMind Scholarship at Queen Mary University of London is a programme to support and encourage underrepresented groups to pursue postgraduate education in the field of Artificial Intelligence, Machine Learning and Computer Science. The scholarships are for female and/or black students as these students are currently underrepresented in these areas of study. To apply, use the below
link
- Type: Maters
- School to study: Queen Mary University of London
- Country to study: United Kingdom
- Course to study: Not specified
- State of Origin: Check Eligible countries below
- Gender: Men and women
- Application Deadline: July 13, 2022
Benefits:
Each DeepMind Scholarship will cover the cost of tuition fees, £11,850 (International fees – £27,250), a living allowance of £15,480, an annual £2,000 travel scholarship and a one-off equipment grant of £1,500.
Eligibility:
To be eligible to apply for a DeepMind Scholarship you must:
1. Be a UK or International student.
2. Identify as female or have one of the following categories of ethnicity: Black African; Black Caribbean; Black Other; Mixed – White and Black Caribbean; Mixed – White and Black African; or Other mixed background (to include Black African, Black Caribbean or Black Other).
3. Have a confirmed offer to study on one of the following programmes in September 2022: MSc in Artificial Intelligence (Full Time), MSc Computer Science (Full Time), MSc Computer Games (Full Time), and MSc in Machine Learning for Visual Data Analytics (Full Time) at Queen Mary University of London.
Required Documents
To complete your application, you will need to provide:
- A copy of your offer letter to study on one of the following programmes at Queen Mary: MSc in Artificial Intelligence (Full Time), MSc Computer Science (FT), MSc Computer Games, or MSc in Machine Learning for Visual Data Analytics (FT) programme.
- A completed application form, including a short statement of no more than 500 words detailing why you should be considered for the award and what motivated your interest in this area of study at Queen Mary University of London.
- A CV
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