Computational Social Science
Linkoping University delivers the Master’s in Computational Social Science as a two-year program that combines data science, social theory, and computational modeling to analyze human behavior and societal patterns. The program focuses on using big data and algorithms to study social systems.
Graduates can pursue careers in data-driven social research, policy analytics, and computational modeling, working in research institutes, tech companies, and public organizations. The program develops strong interdisciplinary skills in both social sciences and data analytics.
Key Facts
Key Facts
- Program Title: Computational Social Science
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 January 2027
- Location: Linkping University, Sweden
- Field of Study: Sociology
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Computational Social Science
• Introduction to Social Science and Big Data
• Social Networks and Computational Analysis
• Data Mining and Predictive Analytics in Social Science
• Research Methods in Computational Social Science
Semester 2 – Advanced Computational Social Science
• Social Media Analysis and Sentiment Mining
• Machine Learning Applications in Social Science
• Computational Models of Human Behavior
• Elective Modules in Computational Social Science
Semester 3 – Specialized Computational Social Science
• Computational Ethics and Privacy in Social Research
• Simulation of Social Networks and Systems
• Social Interaction and Computational Sociology
• Fieldwork/Research Project in Computational Social Science
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Topics in Computational Social Science
• Final Presentation & Research Evaluation
Career Opportunities
Graduates of the Computational Social Science program are prepared for careers in data analysis, social research, and AI-driven policy analysis. They can pursue roles as data scientists, social researchers, policy analysts, and computational sociologists. With the growing availability of large-scale social data and the increasing use of AI, the demand for professionals skilled in computational methods for social research is growing. Graduates often work in research institutions, governmental organizations, tech companies, and NGOs, helping to analyze social phenomena and inform policy decisions.
Why Choose This Program
The Computational Social Science program combines social science theory with computational techniques, providing students with the skills to analyze large datasets and model social phenomena. Students gain expertise in data mining, network analysis, and machine learning, preparing them to tackle complex social issues. The program’s focus on both social science theory and computational methods ensures that graduates are ready to contribute to data-driven research and social policy development.
Contact Information
For further information, please contact the admissions office at:
Phone: +46 13 28 10 00
Email: infocenter@liu.se
Address: Linköping University, SE-581 83 Linköping, Sweden
