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Investigating Academia-Industry Gap for Data Science Jobs and Curriculum

As big data analytics present an array of applications; its importance is growing for contemporary organisations. The vast amount of data and the competitive advantage of analysing triggers the digital transformations throughout many industries. Despite the towering demands of data science, there seem to be a lack of skilled professionals. Analysing this pressing issue, the purpose of this paper is to investigate the academia-industry interlude and reviewing the status-quo of technical and managerial skills in diverse industries. To study this gap, we collected job descriptions of over 200 companies and then comparing them with the curriculum findings corresponding to 100 institutional courses and professional certification trainings and closely studying the composition of technical and managerial skills required by different industries. Our research summarises the findings and inferences regarding gaps and potential amends that exist in in the domain of data science as well as suggestions on how to bridge the gap indicating industry-specific skillset that are of highlighted significance.