DeepMind Scholarship

DeepMind Scholarship is sponsored by DeepMind (through various universities). The DeepMind Scholarship aims to increase representation in artificial intelligence by offering full financial support to talented students from underrepresented groups pursuing graduate-level AI study.

Education — Google DeepMind Education Making AI more accessible for the next generation We’re working to make AI more open to the next generation – giving young people a better understanding of AI and its role in their future, and extending opportunities to pursue AI and science-focused careers. We collaborate with a number of organizations to expand AI literacy, and improve access to educational and research opportunities.

Our academic fellowship funding supports early-career researchers in the fields of AI and AI-enabled Science at recipient universities and institutions. It gives postdoctoral researchers the experiences and research profile they need to reach full academic roles, or pursue other opportunities in AI research and leadership. These fellowships also provide opportunities for fellows to be mentored by senior Google DeepMind researchers.

Google DeepMind does not direct their research, and fellows are free to pursue any research direction they wish. Fellowships are open to early-career researchers who have completed a PhD in Machine Learning, Computer Science, Statistics, or another relevant scientific field by the time they start their postdoc. Multiple universities and institutions have launched fellowship programs.

Explore more details on their websites: Queen Mary University of London University College London University College London (UCL) Fleming Initiative at Imperial College London Wellcome Sanger Institute Postgraduate scholarships Google DeepMind provided funding to universities around the world, helping to bring hundreds of talented students into the fields of AI and Computer Science.

Starting in 2017, scholarship funding allowed recipient universities to provide financial support to students seeking to study graduate courses relating to AI and adjacent fields. Scholars were also offered support from a Google DeepMind mentor, and had opportunities to attend leading AI academic conferences and Google DeepMind events. In 2026, Google DeepMind AI Masters scholarships in the UK will be delivered by Martingale Foundation.

For more information, please visit the Martingale website . Applications are now closed. For applicants and scholars selected by host universities outside of the UK, AI Masters scholarships for 2026 are administered by the Institute of International Education (IIE).

For more information, visit IIE’s website . The Pan-African ‘AI for Science’ Masters program scholarships are offered directly by AI for Science Masters (AIMS). Pan-African 'AI for Science' Masters program We partnered with the African Institute for Mathematical Sciences (AIMS) to create a pan-African ‘AI for Science’ Masters program.

The program gives talented students from across the region a chance to pursue advanced studies at AIMS South Africa and connect with Google DeepMind researchers and engineers for support. The program curriculum explores how AI can be used to better understand the world around us and accelerate progress on some of today’s most fundamental and fascinating scientific challenges.

It has been developed by AIMS, with input from Google DeepMind and four world-leading local scientific groups: Square Kilometer Array Observatory (SKAO) and its South African partner, the South African Radio Astronomy Observatory (SARAO) an international effort to build the world's largest radio telescope;‍ Centre for Epidemic Response and Innovation (CERI) a leading epidemic and pandemic preparedness and response institute;‍ South African Centre for Epidemiological Modeling and Analysis (SACEMA), Department of Science and Innovation - National Research Foundation Centre of Excellence with a mission to improve health in Africa through epidemiological modeling and analysis.

Our funding will help AIMS provide full scholarships, equipment and compute, with the goal of supporting 160 African students by July 2027. Applications and more information Undergraduate Research Ready Since 2023, we’ve provided universities with funding to help UK based undergraduate students gain summer research experience in AI and adjacent fields.

As part of these Research Ready programs, the universities offer workshops and skills days, and provide students with financial support and accommodation for the duration of their research placements. In 2025, the Royal Academy of Engineering, Google DeepMind and The Hg Foundation will fund Research Ready placements to help widen participation in AI research. For more information visit the Royal Academy of Engineering website.

In summer 2026 the program is being delivered in 11 universities including; Cardiff Metropolitan University School-age AI and teacher training programs Building on our history of supporting STEM (Science, Technology, Engineering, Mathematics) outreach, our educational efforts are now focused on supporting AI literacy for school students and teachers around the world.

In 2022, we partnered with the Raspberry Pi Foundation to address the gaps in AI education by co-creating Experience AI . This free learning program includes lesson plans, slide decks, videos and more, to support teachers in engaging secondary school students around the world in the subject of AI.

The resources were designed to be relevant and accessible for school-aged students, helping them understand AI and the role it will play in their future. Since its launch in April 2023, Experience AI has been accessed by educators in 180 countries with the resources available in 19 languages. By the end of 2026, over 50,000 educators from more than 45 countries worldwide will have undergone training through Experience AI.

They’ll have gained the skills, knowledge, and confidence to bring AI literacy to their classrooms. Teaching & learning resources Many of our team hold university professorships, and teach or supervise students at Cambridge, Oxford, MIT, Imperial, and elsewhere. We also partner with many world-leading academic institutions to extend research and teaching capacity.

So far, we’ve established academic chairs in machine learning at the University of Alberta, University of Cambridge, the University of Oxford and University College London. We believe that everyone should feel able to participate in AI and science. So, we are committed to supporting organizations that create community and increase access within these sectors.

Our team members regularly dedicate their time and expertise to advancing community discussions about AI. We are also founding partners of the Deep Learning Indaba , the Eastern European Machine Learning Summer School , the AI4Good Summer Lab , and a number of ML summer/winter schools that increase capacity for AI training and support the next generation.

Learning resources Whether you’re a student, researcher or just curious, we want to help you explore the fascinating world of artificial intelligence.