Critical analysis of a higher education benchmark via fuzzy logic

A graduate profile benchmark developed by a higher education organisation is subject to scrutiny. This occurs through the numerical parameterisation of text collected through surveys. The proposed method uses basic concepts drawn from Information Technology for the evaluation of the target profile of engineering graduates. It combines data processing, analysis and evaluation to show the degree to which established academic practice at the host institution correlates to pre-conceived professional outputs. The paper discusses standard practices including traditional and innovative teaching methods, in the light of achieved results. To conclude that postgraduate students require further engagement with the industry and exposure to the public whilst confirming that the scientific and technical components of the subject courses are highly rated by stakeholders. The conclusion includes recommendations to mitigate the identified gaps. These involve further curriculum development to enable inter-disciplinary work and a higher involvement of industrial and other learned organisations to increase awareness of public needs while strengthening professional values via educational enhancement activities.