Social Data Science (2 Years) Central European University (CEU)

Overview

The Social Data Science (2 Years) at Central European University (CEU) combines rigorous training in data science with interdisciplinary specialization and mentored research. Students apply computational methods to real-world challenges in fields such as economics, environmental science, public policy, and social science while developing the skills to collaborate across disciplines. 

Specialisations

Students in both program formats choose one of four specializations.  

• The Applied Social Data Science specialization (Department of Network and Data Science) deepens methodological expertise through advanced training in AI and computational methods. 

• Economics (Department of Economics) focuses on data-driven economic analysis, econometrics, forecasting, and finance.

• Environmental Science (Department of Environmental Sciences and Policy) focuses on geospatial analysis, Earth observation, climate, and sustainability.

• Political Science and Policy (Departments of Public Policy and Department of Political Science) explores public policy, governance, political behaviour, and policy analytics. 

Careers

Graduates of the MS in Social Data Science combine advanced data science expertise with the ability to understand complex social systems, collaborate across disciplines, and develop responsible data-driven solutions. This unique combination prepares them for careers in research, public policy, NGOs, international organizations, and data-driven industries. Career paths include:

• Business Intelligence Consultant

• Data Analyst

• Data Engineer

• Data Journalist

• Data Scientist

• Government Analyst

• Policy Advisor

• Research Scientist

• Quantitative Analyst