According to the survey of World Economic Forum, IoT aims to train one of the top technological drivers of change for the future of jobs, employment, skills and workforce strategy in the 4th Industrial Revolution. Forbes considers big data, data analytics, embedded smart sensors, remote monitoring systems, and machine learning as top 5 engineering skills in 2020. In order to prepare the society for such an enormous diversity, modernising Higher Education (HE) towards integrating IoT skills for engineers is an extreme need. Consequently, providing a series of educational training that improves competitiveness and employability of engineers by 2025 is a must to address. The technological revolution happening by IoT as well as associated skills and expertise gaps by 2020 are not limited to Europe, but also influencing developing countries. As evidence, the middle-east and Africa is expected to invest USD 14.3 Billion on IoT by 2020 to keep up with the fast pace of development in this regard. The main goal of the IoTRAIN project is to achieve the modernization and internationalization of higher education in Iran, taking into account the huge changes introduced by Internet technologies in society and business, and to design, develop and enact teaching, peer-production and continuous improvement processes. IoTRAIN is particularly designed to target the growing demand of professional IIoT skills by enhancing the IIoT-related trainings in Iranian HE institutions (HEI). In this regard, IoTRAIN covers a careful analysis of existing and future technological gaps in IIoT and provides required trainings towards improving competitiveness of future Iranian engineers. IoTRAIN delivers an IIoT competence model consisting of the state-of-the-art skills in IIoT at the European and international standard levels. The provided model adopts up-to-date training materials of the European partners of the project and provides necessary high-level training with the aim of improving competitiveness of future Iranian. Furthermore, IoTRAIN delivers a Digital Engineering competence model consisting of the state-of-the-art skills in digitalization for engineers and experts following European and international standards.

Coordinator

Participating Countries

UNIVERSITAET SIEGEN

ADOLF REICHWEIN STRASSE 2A
57076
SIEGEN
Germany Extra-Regio
Organisation type: Higher education institution (tertiary level)