The programme suits those open to interdisciplinary methods and especially digital computational, quantitative research tools, aiming for careers in research, policy, consultancy, or digital strategy. Students will gain a solid theoretical and methodological foundation, learn to analyse online social processes, apply computational methods, and communicate findings effectively. Graduates will be prepared for doctoral studies or roles requiring data-driven insight into human behavior in the digital age.

Strength of programme

A key strength of the programme is its interdisciplinary structure, combining sociology, psychology, political science, communication studies, and data science to offer a comprehensive understanding of digital society. Students gain both theoretical foundations and practical skills in analysing online behavior, social media, and the broader impacts of digital transformation.

The academic staff includes experienced researchers and international experts of computational social and behavioral science who bring current insights and research into the classroom. The programme emphasises hands-on learning, offering students the opportunity to work with real-world digital data and apply computational research methods.

Graduates of the programme are well-prepared to continue their studies at the doctoral level or to take on roles in research, policy, digital consultancy, and business, where understanding the social and behavioural dimensions of digital transformation is essential.

Career opportunities

The program trains professionals who are able to understand and explain new social and behavioral processes and phenomena in society as complex systems, whether in the field of science or business. As the programme is very interdisciplinary, it opens doors in many areas where data-driven methods are used to study human behavior, social processes, and decision-making. As the degree supports the understanding of social sciences with the tools of data science, the ideal jobs are where understanding, modeling, and supporting human behavior with data is essential. Graduates of the program are prepared to continue their studies in doctoral programs.

Job examples:

• Social Data Scientist – especially focusing on social or behavioral data in corporations or research institutes.
• Researcher in social psychology or economics – using computational modeling and experiments.
• Policy Analyst – in government or NGOs, applying big data and statistical modeling.
• User Experience (UX) Researcher – studying and analyzing user behavior through testing and data.
• Data-driven Marketing Analyst – modeling consumer behavior, conducting market research, and segment analysis.
• HR Analytics / People Analytics Specialist – predicting employee satisfaction, recruitment, and turnover.
• AI Ethics / Governance Analyst – examining the societal impacts of artificial intelligence.
• Social Network Analyst – analyzing social media data, modeling information diffusion.
• Platform Researcher – studying user interactions, misinformation, and polarization on online platforms.
• University Researcher or PhD Student – in computational social science, sociology, psychology, political science, communication studies, or economics.
• Research Institute Fellow – e.g., at think tanks or international organizations (OECD, EU, UN).
• Data & Policy Consultant – supporting decision-making with data insights.
• Behavioral Insights Specialist – applying behavioral science and nudge strategies to optimize decision-making.