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Program description

MSc Computational Social Science

Use statistical and computational methods to understand society and human behaviour. The program prepares you to harness complex data and advanced computational tools to address these and other important social questions.

The increased integration of technology into our lives has created unprecedented volumes of data on everyday human behaviour. Troves of detailed social data related to choices, affiliations, preferences and interests are now digitally archived by internet service providers, media companies, other private-sector firms, and governments. New computational approaches based on predictive modeling, agent-based simulations, text analysis, and network science make it possible to analyse these data in insightful and novel ways.

This is a chance to develop skills in cutting edge computational techniques alongside a strong grounding in the principles and practice of contemporary social research. The program’s quantitative methods training will help you harness complex data and use them to explore social theories and fundamental questions about human societies. The program’s theoretical and substantive training will introduce you to the principles of social inquiry and theories of human behaviour, and help you apply your technical skills to pressing social issues such as ethnic segregation in schools, income inequality, entrepreneur- ship, political change, and cultural diffusion.

Admission requirements

  • Bachelor's degree equivalent to a Swedish Kandidatexamen within one of the following subject areas:
    • humanities
    • cultural studies
    • social sciences
    • behavioural sciences
    • natural sciences
    • computer sciences
    • engineering-sciences or equivalent
  • English corresponding to the level of English in Swedish upper secondary education (English 6/B)

(Exemption from Swedish)

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Program content

Semester 1

  • Logic of Social Inquiry
  • Behavioural Mechanisms in the Social Sciences
  • Statistics and Data Science I
  • Statistics and Data Science II

Semester 2

  • Discrete Choice Modelling
  • Agent-Based Modelling
  • Social Network Analysis
  • Digital Strategies for Social Science Research

Semester 3

  • Inequality and Segregation: Theory and Measurement
  • Big Data: Social Processes and Ethical Issues
  • Computational Approaches to the Study of Cultural Markets and Social Dynamics
  • Computational Approaches to the Study of Organizations

Semester 4

  • Master’s Thesis in Computational Social Science
  • Master’s Thesis in Computational Social Science

Scholarships & funding

Linköping University (LiU) offers a limited number of scholarships to outstanding international students. For some programs and nationalities, it is also possible to apply for a scholarship through the Swedish Institute. There are also other funding opportunities for studies in Sweden.

For more information, please visit the website.

Tuition fees

SEK 190000 - NB: Applies only to students from outside the EU, EEA and Switzerland.


Degree of Master of Science (120 credits) with a major in Computational Social Science.

Career opportunities

The skills you develop in social theory and data analysis during the program are in high demand in the private sector and in government. Graduates will be qualified to pursue social science research in 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 programs.

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About this institute

Linköping University 

Linköping University (LiU) was granted university status in 1975 and today has 32,000 students. including 2,000 international students. LiU rank among more than 20,000 universities in the world, both as a young university and in several subject rankings, such as...

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Contact info

Linköping University

Linköping University
581 83 Linköping

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Contact school

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