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Designing and delivering a curriculum for data science education across Europe

Designing and delivering a curriculum for data science education across Europe
Designing and delivering a curriculum for data science education across Europe
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. In order to achieve this, EDSA is offering interactive tools for finding learning resources and building personalised learning pathways towards acquiring the skills that are currently in demand.
Courseware, Curricula, Data science, Demand analysis, Personalised learning pathways, Skills
2194-5357
540-550
Springer
Mikroyannidis, Alexander
5da37063-7c07-4ac6-afb1-5e117641b811
Domingue, John
cd25567d-c2c1-4dad-a65c-be86a96f6150
Phethean, Christopher
270f7f09-f94e-4d74-bfbf-2f2700d1572f
Beeston, Gareth
87920e90-3a09-424b-9132-87563fd2a63a
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Auer, M.
Guralnick, D.
Simonics, I.
Mikroyannidis, Alexander
5da37063-7c07-4ac6-afb1-5e117641b811
Domingue, John
cd25567d-c2c1-4dad-a65c-be86a96f6150
Phethean, Christopher
270f7f09-f94e-4d74-bfbf-2f2700d1572f
Beeston, Gareth
87920e90-3a09-424b-9132-87563fd2a63a
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Auer, M.
Guralnick, D.
Simonics, I.

Mikroyannidis, Alexander, Domingue, John, Phethean, Christopher, Beeston, Gareth and Simperl, Elena (2018) Designing and delivering a curriculum for data science education across Europe. Auer, M., Guralnick, D. and Simonics, I. (eds.) In IICL 2017 : Teaching and Learning in a Digital World. vol. 716, Springer. pp. 540-550 . (doi:10.1007/978-3-319-73204-6_59).

Record type: Conference or Workshop Item (Paper)

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. In order to achieve this, EDSA is offering interactive tools for finding learning resources and building personalised learning pathways towards acquiring the skills that are currently in demand.

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More information

e-pub ahead of print date: 10 February 2018
Published date: 2018
Keywords: Courseware, Curricula, Data science, Demand analysis, Personalised learning pathways, Skills

Identifiers

Local EPrints ID: 420708
URI: http://eprints.soton.ac.uk/id/eprint/420708
ISSN: 2194-5357
PURE UUID: fbe46c99-1cae-4966-be0d-2e1f04c26199
ORCID for Christopher Phethean: ORCID iD orcid.org/0000-0001-7697-6585
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X

Catalogue record

Date deposited: 11 May 2018 16:30
Last modified: 15 Mar 2024 18:44

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Contributors

Author: Alexander Mikroyannidis
Author: John Domingue
Author: Gareth Beeston
Author: Elena Simperl ORCID iD
Editor: M. Auer
Editor: D. Guralnick
Editor: I. Simonics

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