At the open day on May 2, we talked about the track “Computational Social and Network Sciences”

The online master's programme Data Analytics and Social Statistics (DASS) has two tracks. The open day was dedicated to the track 'Computational Social and Network Sciences'.

Head of the International Laboratory for Applied Network Research Daria Maltseva and junior research fellow Tamara Shcheglova told that as part of the courses on the track, students become familiar with the mathematical apparatus and methods of statistical analysis, the use of computer science methods and tools for collecting, processing data and modeling, as well as the use of theoretical and methodological apparatus of social sciences for the formation of research design, interpretation and presentation of results.

The 'Computational Social and Network Sciences' track of the online master’s programme 'Data Analytics and Social Statistics' allows students to gain knowledge at the intersection of the exact and social sciences. The track will be of interest to both students with a basic education in the social sciences and humanities, who will be able to gain knowledge in the field of working with big data and their advanced analysis, and students with a basic education in the exact sciences, who will be able to gain the skills necessary for research in fields of sociology, psychology, political science, economics, linguistics and other social sciences. Graduates of this track of the programme will be able to work in the research industry in the field of applied social research, applying advanced methods to study various social phenomena and processes.

If you want to learn more, a recording of the event is available: