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Designing and Delivering a Curriculum for Data Science Education across Europe

Mikroyannidis, Alexander; Domingue, John; Phethean, Christopher; Beeston, Gareth and Simperl, Elena (2017). Designing and Delivering a Curriculum for Data Science Education across Europe. In: 20th International Conference on Interactive Collaborative Learning (ICL 2017), 27-29 September 2017, Budapest, Hungary.

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Abstract

Data is currently being produced at an incredible rate globally, fuelled by the increasing ubiquity of the Web, and stoked by social media, sensors, and mobile devices. However, as the amount of available data continues to increase, so does the demand for professionals who have the necessary skills to manage and manipulate this data. This paper presents the European Data Science Academy (EDSA), an initiative for bridging the data science skills gap across Europe and training a new generation of world-leading data scientists. The EDSA project has established a rigorous process and a set of best practices for the production and delivery of curricula for data science. Additionally, the project’s efforts are dedicated to linking the demand for data science skills with the supply of learning resources that offer these skills.

Item Type: Conference or Workshop Item
Copyright Holders: 2017 The Authors
Keywords: data science; curricula; courseware; demand analysis; personalised learning pathways
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 51762
Depositing User: Kay Dave
Date Deposited: 30 Oct 2017 09:52
Last Modified: 02 Nov 2017 08:27
URI: http://oro.open.ac.uk/id/eprint/51762
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