Here is an amazing opportunity for students who are looking to study in the UK!
The Queen Mary University of London is offering the DeepMind Scholarship to support and encourage underrepresented groups to pursue postgraduate education in the Computer Science department of Queen Mary University.
Students who are willing to study Artificial Intelligence, Machine Learning, and Computer Science are eligible to apply.
Queen Mary University of London UK DeepMind Scholarships 2022/2023 is available to undertake Masters level programs at Queen Mary University of London.
Following subject are available to study under this scholarship program.
All Nationalities
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.
1. 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 The panel will not consider any applications that do not meet eligibility criteria, and awards may be withdrawn if applicants are later found not to have met eligibility criteria or to have provided false information.
2. Please download, complete and submit the application form to [email protected]. Download the DeepMind Scholarship Application Form 2022 [DOC 194KB] here.
3. To complete your application, you will need to provide:
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.
Achievement Scholarships for International Undergraduate Students: Engineering and Information Technology, University of Technology Sydney