The SEnDIng project Data Science and Internet of Things professionals’ training Vasileios Gkamas 1,2 Michael Paraskevas 2 and Maria Rigou 1[0000-0003-3743-3777] 1 University of Patras, Rio Campus GR 26504, Greece 2 Computer Technology Institute and Press “Diophantus”, Rio Patras, Greece gkamas@ceid.upatras.gr, mparask@cti.gr, rigou@ceid.upatras.gr Abstract. 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 train- ing 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. Train- ings 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 de- veloped by SEnDIng and is aligned with the NQFs, EQF and ECVET. Keywords: Data Science, Internet of Things, Curriculum Design, Knowledge, Skills, Competences, Transversal Skills, Certification. 1 Introduction Although Internet of Things (IoT) and Data Science (DS) are still in their early stages they can offer vast potential to enterprises and organizations, and disrupt existing busi- ness models and processes [1]. In addition, their value for the EU economy is huge; it is projected that the value of the EU Data Economy will reach 739 billion by 2020, while IoT with a value of €120 billion will solely contribute to an increase of 7 points of European GDP by 2025, through productivity improvement and value distributed to end customers [2]. One of the main barriers preventing the full exploitation of DS and IoT potential, is the skills gap observed at both domains. According to predictions, the demand for Data Scientists will increase by 28% in 2020, with the unfilled DS positions at the same time estimated at 485,000. In addition, the need for IoT skills is huge, as 68% of businesses struggle to hire IoT experts. These forecasts, together with the rapid and continuous evolution of DS and IoT technologies and their application in many industries (i.e. ICT,