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University of Birmingham 2024 DeepMind Scholarship for International Students

University of Birmingham 2024 DeepMind Scholarship for International Students

The School of Computer Science, University of Birmingham is thrilled to announce two scholarships generously funded by DeepMind, that are open to applicants currently holding either a conditional offer or unconditional offer for the MSc Artificial Intelligence and Machine Learning at our UK Edgbaston campus to apply for. 

The University of Birmingham, with support from DeepMind, is committed to increasing accessibility to and enhancing diversity of underrepresented groups in computer science.Our MSc Artificial Intelligence and Machine Learning is a fantastic opportunity for students with a passion and interest in AI to pursue an exciting and rewarding career. AI systems are becoming ever-more embedded in our lives, and ensuring diversity in expertise is essential to make sure they are fair for our entire society. 

These scholarships will enable 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. 


University of Birmingham Masters Scholarship

Application DeadlineAugust 18, 2024
Funding TypeFully Funded
Country to studyUnited Kingdom
School to studyUniversity of Birmingham
TypeMasters
Course to studyView courses
SponsorUniversity of Birmingham
GenderWomen
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Benefits of University of Birmingham Masters Scholarship

The UK scholarship available is valued at £34,225. The value of the scholarship is applied against: 

  • UK tuition fees - £11,340 
  • A maintenance grant of £18,985 (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 
  • £1,700 towards the purchase of essential equipment (suitable laptop etc.) 

The International scholarship is valued at £56,525. The value of the scholarship is applied against: 

  • International tuition fees - £31,410 
  • 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 
  • £1,700 towards purchase of essential equipment (suitable laptop etc.).
  • £1,870 to assist with relocation expenses 

University of Birmingham Masters Scholarship Courses

Requirements for University of Birmingham Masters Scholarship

Applicants wishing to apply for the scholarship should meet the following criteria: 

  • Identify as female

and

  • Be able to demonstrate (if required) that they would not be able to take up the offer of admission without financial assistance

Applicants must also:

  • 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

Applications will be considered by a selection panel at the School of Computer Science and shortlisted based on the above eligibility categories, and providing any additional supporting documentation and evidence (if required). 

Selection Process

International applicant

The final scholarship application deadline will be Sunday 21st July 2024. 

Applications will be shortlisted and suitable candidates contacted for interview at the end of July 2024.  Further information will be shared directly with offer holders regarding the process. 

UK applicant

The final scholarship application deadline will be Sunday 18th August 2024. 

Applications will be shortlisted and suitable candidates contacted for interview by the end of August 2024. Further information will be shared directly with offer holders regarding the process. 

Application Deadline

August 18, 2024

How to Apply

For more details,visit University of Birmingham website


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