The Tech Pipeline: Investigating Educational Pathways into the Tech Sector in England. Technical Report

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Bibliographic Details
Title: The Tech Pipeline: Investigating Educational Pathways into the Tech Sector in England. Technical Report
Language: English
Authors: Maria Pia Iocco, Michael Scott, Luke Bocock, Sarah Tang, Juan Manuel Del Pozo Segura, National Foundation for Educational Research (NFER) (United Kingdom)
Source: National Foundation for Educational Research. 2025.
Availability: National Foundation for Educational Research. The Mere, Upton Park, Slough, Berkshire, SL1 2DQ, UK. Tel: +44-1753-574123; Fax: +44-1753-637280; e-mail: enquiries@nfer.ac.uk; Web site: http://www.nfer.ac.uk
Peer Reviewed: N
Page Count: 63
Publication Date: 2025
Sponsoring Agency: The Hg Foundation
Document Type: Reports - Research
Education Level: Higher Education
Postsecondary Education
Adult Education
Descriptors: Technology Education, Education Work Relationship, Labor Force, Employment Qualifications, Apprenticeships, Higher Education, Career and Technical Education, Foreign Countries, Educational Attainment, Adult Education, Outcomes of Education, Disproportionate Representation, Student Characteristics, Low Income Students, Ethnicity, Sex, Career Development, Salaries, Research Methodology, Information Technology, Computer Science, Educational Certificates, Information Systems, Computer Software, Engineering, Technical Occupations, Professional Personnel, Data Analysis
Geographic Terms: United Kingdom (England)
ISBN: 978-1-916567-46-7
Abstract: This technical report provides more detail on the accompanying summary report, "The Tech Pipeline: Investigating Educational Pathways into the Tech Sector in England," and is part of a suite of reports on changes in UK tech hiring, future opportunities in the sector, education pathways into tech jobs, and diversity in the tech pipeline and workforce. This report analyses data from the Longitudinal Educational Outcomes database (LEO), the National Pupil Database (NPD), the Individualised Learner Record (ILR), and the Higher Education Statistics Agency (HESA) to examine how educational pathways (including educational choices and achievement) support entry into the tech workforce. It uses data from the LEO and the Annual Population Survey (APS) to find out to what extent there are disparities between different groups (by disadvantage, ethnicity and gender) in entry, progression, and earnings into the tech workforce.
Abstractor: ERIC
Entry Date: 2026
Accession Number: ED679712
Database: ERIC
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