Computational social science makes it possible for researchers to collect data from rapidly spreading new data sources such as online platforms, mobile devices, satellites and sensors, and to perform social science analyses with these new types of data. In addition to their direct contribution to social sciences, these new data types and resources are instrumental in the study of topics such as data privacy, artificial intelligence ethics and the spread of false information, thus creating new research areas. In this respect, social sciences and humanities courses will enable students to develop their computational and mathematical skills, while students with these skills will deepen their competencies in social science theory and examine social science research questions. The courses and applications aimed at improving the analytical skills of students in the field of social sciences in areas such as big data analysis, computer simulations, network analysis and machine learning constitute the basis of the program content.

A non-refundable application fee is required. This course is carried out with a thesis at the end of the studies. A GRE exam is required with a minimum of 193 points in the numerical section.