Understanding Society 5.0 Jobs for Improving Education 4.0 – an Analysis in Python

Developments in science and industry have a direct impact on human life by contributing to development of societies throughout human history. Developments in information, internet technologies and Industry 4.0 accelerated the digital transformation of the industry. As a result, factories have been equipped with ‘smart’ technologies and new skills are needed to use these smart technologies. These skills have changed job descriptions and new graduates now start to work in jobs that never existed in the past. After the transformation from an industrial society to an information society with Industry 4.0, the aim is to reach Society 5.0 as a new level of social development. Therefore, graduates will need to have new skills to adjust to Society 5.0. In this study, International Standard Classification of Education 2020 data were analysed according to gender, age and educational level using machine learning in Python. The types of jobs that are most in demand were identified. Consequently, the sector and job preferences of new graduates were determined according to their educational levels. This study fills a gap in existing literature by analysing the trendiest positions in the industry so universities can prepare their students for these positions within the Education 4.0 framework.