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Good practice Imported

Knowledge Transfer Partnerships — Embedding Graduates to Move University Research into UK Businesses

United Kingdom · Swindon · See the United Kingdom profile · See the Swindon profile

Evidence: Observational / pre–post Top 9% 86/100 · Ask Evidence Copilot about this practice

Innovate UK's KTP scheme embeds graduate associates in businesses to apply university research. An independent evaluation of 2,000 projects (2010–2020) found £1.7–2.3bn net GVA — £4.20–£5.50 per £1 invested — and 83% of firms reporting productivity or turnover gains.

1.7–2.3 £ billion
Net gross value added to UK economy (2010–2020)
4.20–5.50 £
Net economic benefit per £1 invested (2010–2020)
83 %
Businesses reporting productivity, profitability, employment or turnover gains (2010–2020)
92 %
Knowledge-base partners reporting enhanced understanding of industry challenges (2010–2020)
2,000
Projects supported (2010–2020)
75 %
Beneficiary businesses located outside London and the Greater South-East (2010–2020)
Knowledge Transfer Partnerships — Embedding Graduates to Move University Research into UK Businesses

Details

Maturity
Established
Promoter
Innovate UK (UK Research and Innovation)
Period
1975–present; independent evaluation covers 2010–2020
Keywords
university-industry collaboration, applied R&D, graduate placement, innovation policy

Context

Knowledge Transfer Partnerships (KTP) address the gap between university research and commercial application in UK businesses by embedding a recent graduate — the 'associate' — inside a company for one to three years to work with an academic knowledge base such as a university, college or research organisation on a specific business problem, with Innovate UK part-funding the placement.

Objectives

The scheme aims to transfer specialist university knowledge into UK firms to raise productivity, profitability, employment or turnover, while giving knowledge-base partners a better understanding of industry challenges.

Activities

Since 1975, KTP has run roughly 2,000 tripartite projects between 2010 and 2020 alone, worth about £200 million in grant funding, involving 136 different knowledge bases and 3,000 graduate associates.

Results

An independent evaluation for UKRI, carried out by SQW with Qa Research and published in October 2023, combined econometric analysis, monitoring data, business surveys and case studies across the 2010–2020 cohort. It estimated £1.7–2.3 billion in net gross value added for the UK economy, equivalent to £4.20–£5.50 in net economic benefit per £1 invested. 83% of participating businesses reported gains in productivity, profitability, employment or turnover, and 92% of knowledge-base partners reported an improved understanding of industry challenges. 75% of beneficiary businesses and 68% of knowledge-base partners were located outside London and the Greater South-East.

Conclusions

KTP has operated continuously since 1975 and remains a mature, nationally distributed scheme rather than a novel intervention. Aston University, the largest single KTP provider, separately reports a portfolio-level return above 1,700% for host businesses after three years — a promotional, institution-level figure that is directionally consistent with, but not independently audited to the same standard as, the national evaluation.

Implementation

Indicative cost
High (€500k–€5M)
Time to results
Long (> 3 years)
Staffing & skills
Graduate associate embedded full-time in the host business, Academic knowledge base supervisor (university, college or research organisation), Host business management/mentor team, Innovate UK (UKRI) grant management

Conditions for success

  • Tripartite agreement between business, academic knowledge base and Innovate UK
  • Graduate associate embedded full-time for one to three years on a specific commercial problem
  • Grant part-funding to de-risk business investment in applied R&D capability

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

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