School of Computational Social Sciences

The School of Computational Social Sciences brings together economists, sociologists, and computer science specialists to complement and enrich each other's knowledge, solve theoretical and applied problems at the intersection of these three disciplines, and train new generations of highly competitive specialists. We collaborate with industry and academic partners on complex interdisciplinary projects. The school aims for a productive synthesis of the socio-humanities and computer science, while maintaining the core essence and identity of each.

Our approach to teaching economics is based on three key principles: fundamental knowledge of economic basics, a broad (but systematic) familiarity with data analysis methods, and the ability to apply this knowledge to economics. This enables our graduates to thrive in any environment — business, government, or academia. We integrate the latest scholary  knowledge and achievements into our courses and actively employ a project-based approach in the learning process.

The sociology program integrates three areas: sociology, data sciences, and causality research. Our goal is to develop the sociological imagination of our students, teach them to uncover the mechanisms behind social phenomena, and analyze these mechanisms using the most appropriate methods. This wide range of skills ensures that our graduates find opportunities in high-tech industries, the public sector, and academia.

A wealth of valuable data has accummulated in the interdisciplinary world of the social sciences and humanities. The ability to formulate research questions and apply the right tools is the first step toward new advancements in this area. The program 'Applied Data Analysis and Artificial Intelligence' (PANDAN) provides basic technical skills in data analysis and artificial intelligence for historians, philologists, cultural scholars, and others. We welcome anyone interested in using quantitative methods in their work.