The Master's Degree programme in Data Science is a two-year full-time programme taught in English, which aims at training trains professional figures with strong transversal competences that can work in multidisciplinary environments. The person with a master's degree in Data Science will be able to manage and analyze large amounts of data produced by natural and social systems to support decision-making processes in the economic-productive, political-social and scientific research activities in the fields of public administration, industry, public and private services and the third sector.
The person with a Master's degree in Data Science will be able to hold high-profile technical and/or managerial roles in contexts that require a good combination of skills in computer science, mathematics, statistics and social, psychological and economic sciences.
At the end of the course the person with a master degree in Data Science will be able to analyze the elements that contribute to the formation of the data being analysed and to identify possible sources of noise, bias and uncertainty; she/he will be able to use the IT platforms for the storage, management and transformation of data, being aware of the performance limits and/or the advantages offered by the various platforms; she/he will be able to identify the strategic objectives that can be better pursued thanks to data analysis, also by effectively combining the methodologies of social and psychological sciences.
The interdepartmental nature of the study course makes it possible to accept students from different backgrounds and to provide them with a highly interdisciplinary curriculum. The first year will include courses aimed at integrating the different competences and will cover the fundamental disciplines of Informatics, Mathematics, Statistics and Social, Psychological and Economic Sciences. These introductory courses will be followed by courses and workshops on relevant applications of Data Science, in particular for Social, Psychological and Economic Sciences. An adequate offer of optional courses and workshops will allow the design of courses aimed at specific areas. As a result, students earning a master's degree in Data Science will be provided with a cultural, scientific and methodological background that will allow her/him to access university programs subsequent to the master's level (second level Masters and PhDs)