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Academic offer of advanced digital technologies

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This dataset is the result of a project to support policy making by providing insights on the availability and composition of education offer in four key digital domains: artificial intelligence, high performance computing, cybersecurity, and data science.

Following a text mining methodology that captures the inclusion of advanced digital technologies in the programmes’ syllabus, we monitor the availability of masters’ programmes, bachelor’s programmes and short professional courses and study their characteristics. These include the scope or depth with which the digital content is taught (classified into broad or specialised), education fields in which digital technologies are embedded (e.g., Information and communication technologies, Business, administration and law), and the content areas covered by the programmes (e.g. robotics, machine learning). Also, we consider the overlap between the four domains, to identify complementarities and synergies in the academic offer of advanced digital technologies.

The dataset covers yearly data, starting from the academic year 2019-2020 and ending in academic year 2023-24 (and will not be further updated). In order to provide comparison with other competing economies, the dataset covers the EU and its Member States plus six additional countries: the United Kingdom, Norway, Switzerland, Canada, the United States, and Australia.

Results of the study have been used as reference in the European Artificial Intelligence Strategy, the White Paper on Artificial Intelligence – a European approach to excellence and trust, in the Stanford University’s Artificial Intelligence Index Report 2019 and 2021. These data have substantiated the assessment of the national Recovery and Resilience plans, and are used as input for the Digital Resilience Dashboard, among others.

Contributors

Joint Research Centre European Commission

How to cite

Papazoglou, Michail; Torrecillas Jódar, Juan; Vázquez Prada-Baillet, Miguel; Calza, Elisa; Fabiani, Josefina; Soguero Escuer, Jorge; De Pratto, Giuditta; López Cobo, Montserrat (2026): Academic offer of advanced digital technologies. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.6Z0R2DG PID: http://data.europa.eu/89h/7aed1a89-c904-43ed-af0f-b024fc9cb92a

Keywords

academic offerartificial intelligencebachelor degreescybersecuritydata sciencedigital technologieshigh performance computingmaster's degreesshort professional courses

Data access

Academic offer of advanced digital technologies - Dataset 2019-2024
ZIP

ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed.
Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
Authorisation required

Only some users can access the resource.

  • The zip file contains data tables in Excel and CSV formats. A metadata file is also included.

Academic offer of advanced digital technologies - Dashboard
HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.
Web service/API

A resource that holds a web service to the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Temporal coverage

From date To date
2019-01-01 2024-01-01

Additional information

Published by
European Commission, Joint Research Centre
Contact email
montserrat.lopez-cobo (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Data theme(s)
Education, culture and sport

dataset theme covering the domains of education, which facilitates learning and the acquisition of knowledge, skills, values, beliefs, and habits; culture, which includes the social behaviour, norms, knowledge, beliefs, arts, laws, customs, capabilities, and habits found in human societies; and sport, encompassing competitive physical activities or games that improve physical ability, skills, and provide enjoyment to participants as well as entertainment to spectators
Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Issued date
2023-04-27
Created date
19 Apr 2023 16:08
Modified date
16 Feb 2024 16:05
Dataset identifier
http://data.europa.eu/89h/7aed1a89-c904-43ed-af0f-b024fc9cb92a
Other identifiers
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