The Master's Degree in Data Science for the Humanities and Social Sciences (class LM-DATA) trains professionals able to grasp the multidisciplinary aspects of data analysis and interpretation across the various application areas, with particular attention to the humanities and social sciences.
The programme starts from the awareness that the study of social phenomena and cultural processes requires transversal skills, combining the humanities and social sciences with the quantitative methods of computer science and the mathematical-statistical sciences. In the age of 'big data', the collection and management of data are changing, life-cycle technologies are evolving and new skills are developing to give data value and context: here the data scientist is the key figure.
Graduates acquire mathematical-statistical and computing skills and tools for the qualitative analysis of social and cognitive processes, to manage the entire data-analysis process: from the epistemology of data to the computational aspects of big data and the interpretation of results. The professional profiles are Data Scientist, Data Manager and Data Analyst with skills in social data; typical functions include analysing and forecasting trends in data flows, identifying software tools, coordinating the collection and publication of open data and integrating data science into organisational processes, with outlets in public and private companies and administrations, including research bodies.