RAEng
endorsement statistics
for engineering + applied sciences.
The Royal Academy of Engineering endorses Global Talent applicants whose work is in engineering, applied mathematics, robotics, materials science, and engineering-leaning ML. This page summarises RAEng's published data and evidence patterns.
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- 01RAEng covers engineering, applied mathematics, robotics, materials science, and engineering-leaning ML.
- 02Exceptional Talent tier only; no Promise tier.
- 03Letters from senior engineers / Fellows of the Academy carry significant weight.
- 04Patents, named industrial collaborations, and IEEE / ASME / IMechE recognition are strong signals.
- 05Industry-applied research with measurable impact often qualifies under RAEng better than under Royal Society.
The Royal Academy of Engineering is the UK's national academy for engineering, designated as an endorsing body under the Global Talent visa. It reviews applicants whose work is engineering-applied — mechanical, electrical, civil, chemical, materials, manufacturing, control systems, robotics, applied mathematics, and engineering-leaning machine learning. The discipline split between RAEng, Royal Society, and British Academy is real: applying to the wrong body is a recurring rejection pattern.
RAEng publishes endorsement information via its grants and awards pages and its annual review. Granular per-year breakdowns are not currently published at the Tech Nation 10-year-report level; combining RAEng's public information with the Wave 2 evaluation's academic-route findings gives the closest publicly available picture.
What the primary sources say.
- 01
What RAEng publishes[RAEng — Global Talent][RAEng Annual Review]
RAEng's Global Talent visa web pages document the criteria and applicant guidance. Annual reports include high-level endorsement counts and Academy activity. The authoritative public source for RAEng-route specifics.
- 02
Evidence patterns that win[RAEng — Global Talent]
Granted patents in the relevant engineering area; named technical / industrial collaborations with major firms; first-author papers in IEEE / ASME / IMechE / equivalent journals; standards-track work; engineering awards (IEEE Fellow, MacRobert Award, Royal Academy of Engineering Fellow); letters from senior engineers and named industrial collaborators.
- 03
Common applicant profiles[RAEng — Global Talent]
Senior research engineers in applied research labs; PI / co-PI on substantial industrial-research grants; engineering-track PhD-holders with industrial impact; applied ML / robotics researchers whose work is engineering-leaning rather than CS-research-leaning; founders of engineering-domain startups with published technical contributions.
This page synthesises RAEng's web-published endorsement information and the Wave 2 evaluation's academic-route findings. Granular per-year breakdowns are not currently available at Tech Nation 10-year-report level; the page reflects the public information state and will be updated as new data is published.
- [1]RAEng — Global Talent — RAEng endorsement criteria, process, and applicant guidance· verified 2026-04-30
- [2]RAEng Annual Review — Annual review documents including endorsement counts and Academy activity· verified 2026-04-30
- [3]Wave 2 evaluation — Government-commissioned evaluation including academic-route findings· verified 2026-04-30
- [4]Home Office Immigration Statistics — Quarterly Global Talent grants — macro context· verified 2026-04-30
- [5]GOV.UK Global Talent — Official applicant-facing route guidance· verified 2026-04-30
Related research & action.
Related pages
Practitioner's step-by-step for the engineering pillar.
Sister academic body — sciences.
Sister academic body — humanities + social sciences.
Check your evidence against RAEng's patent and collaboration signals.
Where engineering-leaning ML fits RAEng over the Royal Society.