Computational Social and Political Science

The Master's Degree Programme in Computational Social and Political Science (CSPS) equips students with the knowledge and skills to analyze political and social phenomena using computational and quantitative methods. It combines the hypothesis-driven approach of social sciences with the data-driven approach of data science, providing a robust repertoire for empirical analysis. Graduates will be able to design and conduct research projects, test hypotheses, analyze trends, and develop evidence-based proposals for interventions. The program focuses on using primary and secondary data, including surveys, social media data, and textual information, analyzed with statistical models, machine learning, and large language models. It also emphasizes causal inference and understanding the mechanisms behind complex socio-political outcomes. Students receive extensive training in analytic methods, statistics, and computational science, with a focus on survey, experimental, and computational approaches. The curriculum includes computer programming, data management, and ethical considerations. Key topics cover multivariate analysis, machine learning, text-as-data, social network analysis, causal inference, and agent-based simulation models. Theoretical frameworks and qualitative insights are integrated to support the informed use of these modeling techniques. The program involves practical training through individual and group projects using real-world data and case studies. Teaching methods are designed to foster the mindset of computational social and political scientists, enabling students to formulate testable hypotheses, link phenomena to models, design data collection procedures, map evidence, and evaluate the implications of their findings for decision-making.

Careers

Graduates are trained for roles as Computational Social Scientists or Computational Analysts for Public Policy. They are prepared to work in various sectors requiring data analysis and interpretation of social and political phenomena.

• Computational Social Scientist
• Computational Analyst for Public Policy

Frequently asked questions

What are the entry requirements for the Computational Social and Political Science Master's programme?

You need a Bachelor's Degree with at least 30 ECTS in relevant fields like computer science, mathematics, statistics, or social sciences, including specific credits in political science/sociology and statistics. English proficiency at B2 level or higher is also required.

What is the language of instruction for this programme?

The language of instruction for the Master's Degree Programme in Computational Social and Political Science is English.

How long does the programme take to complete?

The programme is designed to be completed in 2 years and awards a total of 120 ECTS credits.

What are the career prospects after graduating from this programme?

Graduates are prepared for roles such as Computational Social Scientists or Computational Analysts for Public Policy, working in sectors that require analysis of social and political phenomena using data.

Is there a limit to the number of students admitted to the programme?

Yes, enrolment is limited to a maximum of 35 students, with 10 additional places reserved for international non-EU candidates residing abroad.

What is the cost of tuition and living expenses?

Information regarding tuition fees and living cost estimates was not provided in the source documents.