The master’s programme in Computational Social Science offered at Linköping University trains students to apply computational methods to analyse large, complex datasets related to human social behaviour, and to arrive at theoretically and empirically grounded explanations of social outcomes such as ethnic segregation in schools, income inequality, firm growth and survival, political change, cultural diffusion and myriad others.
In the process, students are inducted into multidisciplinary domains of research in the social sciences that connect sociology, political science, economics, management science, and related disciplines with technical innovations in mathematics, statistics, and computer science.
The programme provides:
- Grounding in the philosophy of social science research, with special attention paid to the scientific potential, practical limits, and ethical risks of growing troves of digital data describing human behaviours;
- Theoretically and empirically guided understandings of human decision making and cognitive processes, including cognitive biases, that guide choices and social interactions;
- A framework for connecting micro-level social actions of individuals, families, firms, and other social actors, and macro-level social outcomes like segregation, inequality, cultural evolution, and industrial change;
- Formal training in key methodological components of computational social science, including traditional statistical methods, network analysis, computer simulation, agent-based modelling, web-scraping, and machine learning;
- Practical skills to implement computationally intensive social science research designs using appropriate methods;
- A broad background in theories and empirical findings in key substantive areas of academic research in the social sciences, with connections to non-academic applications.
The dual skills you develop in social theory and data analysis are in high demand in public and private sectors. Graduates will be qualified for a number of roles: data analyst, marketing analyst, sales researcher, user experience researcher, policy analyst, etc. After graduation, you will also qualify for many PhD programmes.
- Logic of Social Inquiry
- Behavioural Mechanisms in the Social Sciences
- Statistics and Data Science I
- Statistics and Data Science II
- Discrete Choice Modelling
- Agent-Based Modelling
- Social Network Analysis
- Digital Strategies for Social Science Research
- Inequality and Segregation: Theory and Measurement
- Organizations: Theory and Research
- Culture: Theory and Research
- Big Data: Social Processes and Ethics
- 24 months
Start dates & application deadlines
- Apply before
DisciplinesSociology Statistics Machine Learning View 18 other Masters in Statistics in Sweden
We are not aware of any academic requirements for this programme.
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- Additional medical costs (i.e. dental)
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- Bachelor's degree equivalent to a Swedish Kandidatexamen within the humanities, social-, cultural-, behavioural-, natural-, computer-, or engineering- sciences.
- English corresponding to the level of English in Swedish upper secondary education (English 6/B).
- To meet the entry requirements for master's level studies, you must have been awarded a bachelor's degree (equivalent to a Swedish Kandidatexamen) from an internationally recognised university.
International9036 EUR/yearTuition FeeBased on the tuition of 18072 EUR for the full programme during 24 months.
EU/EEAFreeTuition FeeBased on the tuition of 0 EUR for the full programme during 24 months.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.