Various publicly available studies show that millions of cybersecurity experts are missing worldwide. One possible way to tackle the workforce gap is with tailored higher education programmes. The goal of this paper is to present the relevant projects and frameworks of the European Union which can guide the development of novel cybersecurity education offerings. We describe the most relevant and freely available tools and test them in the development of a joint Master study programme to be offered by a consortium of five European universities. We show that these tools allow educators and study programme developers to map their outputs to the European Cybersecurity Framework developed by the ENISA and other similar frameworks. We complete our work with a detailed analysis of a joint cybersecurity master programme consisting of four innovative and distinctly different tracks.

This article presents a new free web-based application, the Cybersecurity Job Ads Analyzer, which has been created to collect and analyse job adverts using a machine learning algorithm. This algorithm enables the detection of the skills required in advertised cybersecurity work positions. The application is both interactive and dynamic allowing for automated analyses and for the underlying database of job adverts to be easily updated. Through the Cybersecurity Job Ads Analyzer, it is possible to explore the skills required over time, and thereby enable academia and other training providers to better understand and address the needs of the industry. We will describe in detail the user interface and technical background of the application, as well as highlight the preliminary statistical results we have obtained from analysing the current database of job adverts.