University of Birmingham DeepMind Scholarship: Shall we explore the possibility of a fully-funded scholarship in the UK?
The University of Birmingham DeepMind Scholarship, fully funded by Google, is offered to talented students to take the next step towards fulfilling their ambitions of a career in some of the most innovative and sought-after areas of industry and research.
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In addition to the researc exposure in AI, Google offers funding up to £56,525 to cover the full fees, relocation, and living stipends for selected international applicants.
In this post, the full details of the eligibility, benefits, timeline, and application procedure will be provided.
University of Birmingham DeepMind Scholarship Abstract
- Scholarship Host: Google
- Study Abroad: Study Abroad || Study-In-UK
- Location: United Kingdom (UK)
- Category: Scholarships || Postgraduate Scholarships || Masters Scholarships
- Benefits: Full Scholarship
- Tuition
- £19,345 Living Stipends
- Travel Costs
- Eligibility: All Countries
- Deadline: July 23, 2024
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University of Birmingham DeepMind Scholarship Details
The School of Computer Science, University of Birmingham is pleased to announce scholarships generously fully funded by Google DeepMind,.
The University of Birmingham Scholarship is open to applicants currently holding either a conditional or unconditional offer for the MSc in Artificial Intelligence and Machine Learning.
The University of Birmingham, with support from DeepMind, is committed to increasing accessibility to and enhancing the diversity of underrepresented groups in computer science.
The University of Birmingham DeepMind Scholarship is a fantastic opportunity for students with a passion and interest in AI to pursue an exciting and rewarding career.
University of Birmingham DeepMind Scholarship Benefits
The three International scholarships available are valued at £52,565 and UK scholarships available are valued at £34,225 each. The value of the scholarship is applied against:
- International tuition fees – £27,540; UK tuition fees – £10,980
- A maintenance grant of £19,345 (to use for living costs), paid in instalments over the duration of the course
- Funding of up to £2,200 to attend an international conference in the field of AI and/or Machine Learning during the course as well as £1,700 towards the purchase of essential equipment (suitable laptop etc.).
- £1,870 to assist with relocation expenses.
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University of Birmingham DeepMind Scholarship Requirements
To be eligible for the University of Birmingham DeepMind Scholarship, applicants must satisfy the following conditions:
- Identify as female OR Identify as Black African, Black Caribbean or other Black ethnicity.
Applicants must also:
- Be able to demonstrate (if required) that they would not be able to take up the offer of admission without financial assistance
- Have already received a conditional/unconditional offer to study the MSc Artificial Intelligence and Machine Learning at the University of Birmingham
- Be ordinarily resident in the UK and would be classified as UK for fee-paying purposes, OR be classed as an international student for fee-paying purposes
How To Apply for University of Birmingham DeepMind Scholarship
To apply for the University of Birmingham DeepMind Scholarship, interested applicants should follow the processes below;
- Apply for admission to the University of Birmingham for a Masters degree in Artificial Intelligence and Machine Learning
- Once you have received an offer from our central Admissions Office, you will be sent an email with a direct application link, in order to apply for the DeepMind scholarship. If you already hold an offer, you will also receive this email.
- The final scholarship application deadline will be Sunday 21st July 2024.
- Applications will be shortlisted and suitable candidates contacted for an interview at the end of July 2024.
Further information will be shared directly with offer holders regarding the process.
- Note that applications can only be accepted from offer holders of the MSc Artificial Intelligence and Machine Learning.