Partners will research on education offer, market and education needs with the scope to produce a detailed report with an in-depth analysis of issues/challenges different stakeholders have when approaching DS. It includes the following tasks: identification of current education opportunities in DS, analyse of market needs, identification of education/training needs, evaluation of gathered information, development of the Report and evaluation and refining (if necessary) the Report.

In order to deliver a widely usable, high-quality training in data science it is necessary to uncover, on one hand, academic supply of the study programmes related to Data Science accessible at Higher Education Institutions and other education providers in partner countries and, on the other hand, to analyse the current market needs in terms of competences and experience required for Data Scientist and other occupations using DS. Since skills needs for data scientists in different industry sectors are rarely discussed – they are in effect hired as “generalists” with rather limited domain knowledge – the aim is to understand how to satisfy an increased demand for business focused and domain-specific data science skills (i.e. in tourism or digital marketing).

Research analysis report is therefore a direct result of Phase 1 activities: a detailed report with an in-depth analysis of issues/challenges different stakeholders have when approaching data science:

  • HEIs: identification of current education provision, methodologies and challenges facing technology improvements which constantly and profoundly affects data science sector. The result will be a detailed list of existing training courses / study programs in project countries offered by HEIs. For the sector comparative purposes, analysis will also take into considerations various ad hoc short training courses offered by other education providers (EQF level 5 or lower) since they nowadays represent a trend in offering data science training programs.
  • Business sector: analyse of market needs based on domain-specific characteristic in both partner countries and at the European level in respect to relevant occupations.
  • Identification of education/training needs to be provided implementing the project activities. Through IO1 activities, special focus will be to analyse supply/demand for data science education /skills in non-tech industries. This output represents the background for designing and structuring educational materials and pilot cases that are envisaged within IO3 and IO4. In other words, it will offer methodology guidelines for structuring cases, most frequent/requested domain-specific data science skills and a report containing different inventory opportunities.

WP3 will produce the following deliverables:

  • research analyse report
  • 1st multiplier event