The SEnDIng project Data Science and Internet of Things professionals’ training

Vasileios Gkamas, Michael Paraskevas, Maria Rigou


Data Science (DS) and Internet of Things (IoT) are currently among the key drivers of skills and competences required by the IT market. As a skills’ gap is projected in the DS and IoT domains, substantial effort is required by training providers for the upskilling of IT workforce. The SEnDIng project aims to address the skills’ gap of Data Scientists and IoT engineers by developing and delivering two learning outcomes-oriented, modular VET programmes. Trainings will be delivered into three phases: e-learning, face-to-face and work-based learning. During the self-paced online training, trainees will be upskilled on DS or IoT, face-to-face training will cultivate their transversal skills and work-based learning will allow trainees to apply the acquired skills on realistic case studies in their workplace with mentoring support. Upon successful completion of the training, participants will go through the certification which is designed and developed by SEnDIng and is aligned with the NQFs, EQF and ECVET.


Data Science; Internet of Things; Curriculum Design; Knowledge; Skills; Competences; Transversal Skills; Certification

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