HP-UCL IOE Fellowship in AI in Education 2026 for Senior Leaders
Brief Description
Applications are officially open for the HP-UCL IOE Fellowship in AI in Education, a prestigious global executive leadership programme designed for senior education leaders, policymakers, and organisational directors. Delivered by the world-leading UCL Institute of Education in partnership with HP, this funded fellowship for education leaders equips you to drive responsible artificial intelligence transformation across education systems. As you navigate the complexities of AI, learning sciences, and public policy, you will connect with international peers and global experts to design learning-centred strategies that strengthen institutional capacity and inclusion. Whether you are scaling an edtech initiative or auditing governance frameworks, this opportunity positions you at the forefront of educational innovation across Europe, Asia, and Africa.
Name of Host Institution
UCL Institute of Education (IOE)
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Requirements/Eligibility Criteria
- Senior education policymakers working within ministries, government departments, and national agencies.
- Regulators and inspectorate leaders responsible for education quality, assessment, or data management.
- C-Suite executives and senior leaders operating within international edtech companies.
- Senior officials at international organisations focused on education and AI policy.
- Regional and local education leaders, including Directors of Education and Children’s Services.
- Leaders of school systems, specifically multi-academy trust and school group CEOs and Directors.
- Leaders of education non-profits, foundations, and professional bodies, including teacher and school-leader unions.
Funding and Support Details
All core programme costs are fully covered upon acceptance, including expert-led workshops, resources, and accommodation and catering during the active programme hours. Please note that airfares, visa processing costs, and evening meals outside of formal programme hours are your responsibility as a learner.
Deadline
7 November 2026
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