About This Opportunity
The Spärck AI Scholarships are government-funded awards named after pioneering British computer scientist Karen Spärck Jones. This prestigious programme provides full funding including tuition fees and a UKRI stipend for Master's students pursuing AI-related courses at Imperial College London. The scholarship is backed by £17.2 million in government funding and delivers on a recommendation of the AI Opportunities Action Plan. Scholars will join a dynamic world-class cohort of ambitious, adaptable individuals who demonstrate leadership potential, resilience, and a clear vision for the future of AI. The programme is designed to empower students to drive innovation and contribute meaningfully to the UK's AI ecosystem, emerging as part of the next generation of AI leaders. Throughout the year, scholars participate in a range of activities designed to build connections within the cohort and with professionals across the AI landscape. The programme includes industry exposure, mentorship, and structured cohort activities to help scholars gain the skills and networks needed to shape responsible, high-impact AI development across research, government, and industry. Towards the end of the Master's course, scholars have the opportunity to apply for work placements with industry partners including companies such as PolyAI, Quantexa, CausaLens, Flok, Beamery, Darktrace, and Faculty.
Who Can Apply
- Region
- United Kingdom
- Project in
- United Kingdom
- Applicants
- individual
Application Details
Stages
- 1 two_stage
Required documents
Review process
Applicants are assessed on academic merit or potential through the standard admission process. Shortlisted applicants are invited to attend an interview with an academic panel.
Additional benefits
- mentorship
- networking
- training
- career_services
Restrictions
- no_concurrent_funding
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteKey Information
- Award Amount
- Not specified
- Application Deadline
-
April 17, 2026 at 23:59 UTCDue in 89 days
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