University of Sussex
Browse
horses-for-courses-subject-differences-in-the-chances-of-securing-different-types-of-graduate-jobs-in-the-uk.pdf (599.94 kB)

Horses for courses: subject differences in the chances of securing different types of graduate jobs in the UK

Download (599.94 kB)
journal contribution
posted on 2023-06-10, 06:48 authored by Wil HuntWil Hunt, B Baldauf, C Lyonette
Analysis of the 2010/11 Longitudinal Destinations of Leavers from Higher Education survey shows that overly-simplistic conceptions of graduate success underestimate the value of obtaining a degree in some subjects. Using a skills-based classification of graduate jobs the research finds that maths and vocationally-oriented subjects associated with higher earnings returns (Belfield et al., 2018a, 2018b) - engineering, architecture, computer science and nursing - increase the chances of having an 'Expert' job compared to the average for all graduates. However, more generalist subjects that have been linked with lower earnings such as creative arts, languages and mass communication and documentation are better for accessing graduate jobs where creativity and ability to communicate is key. The research demonstrates the value of using a more nuanced conception of graduate jobs and shows that debate about the value of higher education needs to move away from a narrow focus on earnings.

History

Publication status

  • Published

File Version

  • Published version

Journal

Journal of Social Policy

ISSN

0047-2794

Publisher

Cambridge University Press (CUP)

Volume

23

Page range

1-21

Department affiliated with

  • Management Publications

Institution

University of Sussex

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2023-04-20

First Open Access (FOA) Date

2023-04-20

First Compliant Deposit (FCD) Date

2023-04-20

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC