Queen Mary University of London is one of the distinguished research-focused University in UK. The institution has over 32,000 students on degree programmes, about 4,500 staffs and an annual turnover of over £535m.
Queen University London is committed to learning in various subjects including; humanities, social science, law, medicine, dentistry, science and engineering. The University is focused in a creative and culturally diverse area of east London and their site in Mild End is one of the largest self-contained residential campuses in the capital.
The Queen Mary University ranks 9% in place of universities worldwide, and Dentistry, English and Law courses are ranked in the global top 50. The University offers outstanding students a stimulating, supportive, and high quality learning experience, with access to state-of-the-art facilities and teaching inspired by world-leading research.
The Deepmind Scholarship at Queen Mary University of London is a Program to support and encourage underrepresented groups to pursue postgraduate education in the field of Artificial Intelligence, Machine Learning and Computer Science. The scholarship are for females and/or black students as these students are currently underrepresented in these areas of study.
Courses Available: Master of Science in Artificial Intelligence (FT) Master of Science in Machine Learning for Visual Data Analytics (FT) Master of Science Computer Games (FT).
Country: All countries all over the world.
Value: 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.
Deadline: 13 July 2022
Requirements for the DeepMind Scholarship
To be eligible to apply for a DeepMind Scholarship you must:
- Be a UK or International student.
- 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).
- 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.
How to Apply for the DeepMind Scholarship: Queen Mary University of London
- First, please check your eligibility to apply. The panel will not consider any applications that do not meet eligibility criteria, and awards may be withdrawn if applicants are later found not to have met eligibility criteria or to have provided false information.
- Please download, complete and submit the application form
- 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. Read more …
- A CV
A selection panel will shortlist applications and take a final decision on which five students will receive the award. Applicants will receive notification of the outcome by 15 August 2022.
The closing date for applications is 13 July 2022
How to Apply:
To be eligible for this funding package, a candidate must apply and be admitted into the graduate program.
- Supporting Documents: Prospective applicants must prepare their documents such as academic transcripts and diplomas, academic references, resume and statement of intent.
- Admission Requirements: Eligible applicants must meet the minimum admission requirements.
Note that admission into the program is competitive, and meeting the minimum requirements is no guarantee of being admitted into the program.