Data Skills for Everyone! (?)–An Approach to Assessing the Integration of Data Literacy and Data Science Competencies in Higher Education

The proficient handling of data can undoubtedly be regarded as a key skill for the future. However, the need for data competencies is not limited to traditional professions in the information technology environment but is rather necessary across industries and work fields. Consequently, there is a call to integrate such Data Literacy and Data Science competencies into higher education teaching across the breadth of study programs. This study, descriptive in nature, sheds light for the first time on the status quo of this integration. For this purpose, a "Data Science Dictionary" has been developed, that structurally maps a corresponding curriculum of the German Informatics Society (GI). Using quantitative content analysis, more than 13,950 distinct modules from three German study programs (Business Administration, Business furthermore, it can track the resulting progress in a longitudinal study.