MSc Computational Social Science, 120 credits

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

Computational Social Science, Master´s Programme

Autumn 2019, Full-time, Norrköping

Computational Social Science, Master´s Programme - First and main admission round

Autumn 2020, Full-time, Norrköping

Computational Social Science, Master´s Programme - Second admission round (open only for Swedish/EU students)

Autumn 2020, Full-time, Norrköping

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 programme’s quantitative methods training will help you harness complex data and use them to explore social theories and fundamental questions about human societies. The programme’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.

Future opportunities

The skills you develop in social theory and data analysis during the programme 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 programmes.

Syllabus and course details
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Course details

The programme runs over two years and encompasses 120 credits, including a thesis.

During your first year you gain perspectives on the philosophy of social science, primers in the science of human decision-making, and frameworks for connecting individual behaviours to outcomes in social systems. You will also learn to apply advanced computational methods–including discrete choice modelling, social network analysis, agent-based simulation, and machine learning—to draw inferences about micro-level behaviours and macro-level outcomes.

With these building blocks in hand, you spend the third semester assembling critical knowledge of key theories and contemporary research in areas relevant to academic social science, government, and industry. During the third semester, you also have the option to study abroad at a partner institution.

In the final semester, you integrate the knowledge, skills, and theoretical approaches garnered in the first three semesters by writing a master’s thesis. As part of your thesis you conduct your own, original, computational research addressing a social scientific topic of your choosing.

Further information

A detailed syllabus, curriculum, and information on the courses you may take can be found in our study information database via the link below. Entry requirements and tuition information can be found by selecting the drop-down ''Admission requirements'' available under the Autumn 2020 tab.

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