This Master's programme uses statistical and computational methods to understand society and human behaviour. It prepares you to harness complex data and advanced computational tools to address important social questions. In today's world, technology generates vast amounts of data about everyday human actions. New computational approaches, including predictive modeling, agent-based simulations, text analysis, and network science, allow for novel analysis of this data. The programme combines cutting-edge computational techniques with a strong foundation in social research principles. You will learn to apply quantitative methods to explore social theories and fundamental questions about human societies, while also gaining insights into social inquiry principles and theories of human behaviour. This allows you to apply your technical skills to pressing social issues such as ethnic segregation, income inequality, entrepreneurship, political change, and cultural diffusion.
The programme spans two years and includes 120 credits, culminating in a thesis. It is designed to build a strong foundation in both social theory and computational methods.
The skills gained in social theory and data analysis are highly sought after in both the private sector and government. Graduates will be well-prepared for a range of roles.
Exemption from Swedish language requirements may apply.
Tuition fees are subject to change.
International students from outside the EU, EEA, and Switzerland are charged SEK 273,400 per year. Tuition fees are subject to change.
The programme spans two years and includes 120 credits, culminating in a thesis.
Applicants need a Bachelor's degree equivalent to a Swedish Kandidatexamen in relevant fields such as humanities, social sciences, computer sciences, or engineering. Proof of English proficiency equivalent to Engelska 6 is also required.
The language of instruction for the Master's Programme in Computational Social Science is English.
Applications are submitted through the University Admissions in Sweden portal. You will need to upload supporting documents like diplomas, transcripts, proof of English proficiency, and a copy of your passport.
Graduates are well-prepared for roles such as Data Analyst, Marketing Analyst, User Experience Researcher, and Policy Analyst. Further PhD studies are also an option.