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Understanding the skills gap between higher education and industry in the UK in artificial intelligence sector

Year: 2024

Type: article

Abstract: As Artificial Intelligence (AI) changes how businesses work, there’s a growing need for people who can work in this sector. This paper investigates how well universities in United Kingdom offering courses in AI, prepare students for jobs in the real world. To gain insight into the differences between university curricula and industry demands we review the contents of taught courses and job advertisement portals. By using custom data scraping tools to gather information from job advertisements and university curricula, and frequency and Naive Bayes classifier analysis, this study will show exactly what skills industry is looking for. In this study we identified 12 skill categories that were used for mapping. The study showed that the university curriculum in the AI domain is well balanced in most technical skills, including Programming and Machine learning subjects, but have a gap in Data Science and Maths and Statistics sk\ill categories.

Source: Industry and Higher Education

DOI: 10.1177/09504222241280441

Authors: Khushi Jaiswal, Ievgeniia Kuzminykh, Sanjay Modgil

Institutions: King's College London, Kharkiv National University of Radio Electronics, University of Milan

Language: English

Topic: Information Systems Education and Curriculum Development

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $3,450