Vasileios Gkamas, Maria Rigou, I. Perikos, I. Gueorguiev, P. Varbanov, Christina Todorova
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Learning outcomes design for Data Science and Internet of Things training programs
Data Science and Internet of Things are currently among the key drivers of skills and competences required by the IT market. As a skills’ gap is projected in the Data Science and Internet of Things domains, substantial effort is required by training providers for the upskilling of IT workforce. In this work, we present the macro-level design of the learning outcomes of a multi-disciplinary VET program for Data Science and Internet of Things. The macro-level design is based on a desktop research and a survey conducted among the VET program beneficiaries, which are companies running Data Science and/or Internet of Things projects.