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Education and Skills

Education and training are crucial to harness AI, but AI can also help us rethink what competences and skills will be needed in the future to live...

Education and training are crucial to harness AI

Overview

Digital economy is a leading driver of European economy. As digital skills are becoming widely demanded, their prevalence in society needs to be monitored. The recently adopted 2021-2027 Digital Education Action Plan proposes stronger cooperation between Member States for a high-performing digital education ecosystem, and highlights the need to reinforce education in digital competences, from basic to advanced. 

Investment in advanced digital skills is crucial to achieve international competitiveness and to reinforce Europe’s strategic digital capacities. In fact, the proposed Digital Europe programme acknowledges that artificial intelligence, high performance computing, and cybersecurity are key technologies that need to be further developed and made widely accessible. The Digital Europe programme aims at “increasing Europe's talent pool, bridging the digital divide, fostering greater professionalism taking into account gender balance”. 

Academic offer of advanced digital skills

In support of policy initiatives to ensure the availability in the EU27 of an adequate education offer of advanced digital skills, AI Watch maps the higher education offer provided in the domains of artificial intelligence, high performance computing, cybersecurity and data science. 

The Academic offer of advanced digital skills report provides the number and characteristics of education programmes on advanced digital skills provided in the EU27 and six additional countries: The United Kingdom, Norway, and Switzerland in Europe, Canada and United States in America, and Australia. The analysed characteristics include the programme’s scope or depth with which education programmes address the technological domain (broad and specialised), programme’s level (bachelors’ programmes, masters’ programmes and short professional courses), as well as the education fields in which these programmes are taught, and the content areas covered. 

Distribution of all programmes according to their AI content by field of education. EU27, 2019-20 

Distribution of all programmes according to their AI content by field of education. EU27, 2019-20 graph

Geographical distribution of AI specialised masters (%). All geographic areas, 2019-20 

Geographical distribution of AI specialised masters graph

Note: The percentages are based on the total number of courses in the specific combination of scope (broad vs. specialised) and level (bachelor vs. master vs. short courses) 

AI programmes by content area in main fields of education (%). EU27, 2019-20 

AI programmes by content area in main fields of education graph

Note: The percentages are based on the number of programmes in each field of education. 

Estimation of tertiary education places in AI in the EU

In order to investigate the extent to which the education offer of advanced digital skills in Europe matches labour market needs, the Estimation of supply and demand of tertiary education places in advanced digital profiles in the EU study estimates the supply and demand of university places for studies covering the technological domains of artificial intelligence, high performance computing, cybersecurity and data science, in the EU27, United Kingdom and Norway. This work proposes and implements a methodology that allows to estimate the number of offered places, the places in demand by students and the unmet demand in advanced digital technologies. at bachelor and master levels.  

Available places and places in demand at Master level in the EU27 Member States, the United Kingdom and Norway, by technological domain and scope, 2019-20

 

Available places and places in demand at Master level in the EU27 Member States, the United Kingdom and Norway, by technological domain and scope, 2019-20 graph
(@European Union)

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PUBLICATION | 02 Mar 2021

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