The Social Data Science (SDS) master’s course is a two-year program that integrates social sciences and computer science, focusing on the analysis of Big Data and the utilization of Artificial Intelligence algorithms alongside social scientific theory. It accommodates a diverse range of students, including those with varying levels of experience in computational methods and social sciences. SDS offers a strong foundation in Data Science for students with a social science background, with a primary emphasis on computational science applied to social science research. While prior exposure to quantitative methods is helpful, it’s not mandatory. The program equips students with valuable skills sought after in the job market and allows them to apply computational and statistical techniques to address important societal issues.