- Logic of Social Inquiry – Formulate social scientific research questions and design computational research to answer these questions.
- Behavioural Mechanisms in the Social Sciences – Review and critique the implicit and explicit assumptions about human cognitive and decision-making processes that underpin social scientific theories.
- Statistics and Data Science I – Explore key concepts, theorems, and distributions in probability theory and statistics, with an emphasis on stochastic computer simulations.
- Statistics and Data Science II - Estimate and interpret multivariate linear regression models, including extensions appropriate for causal inference.
- Discrete Choice Modelling - Apply statistical models for categorical outcomes that are integral to social network analysis, machine learning, and the analysis of human decision-making.
- Agent-Based Modelling – Develop and program Agent-Based Models (ABMs). Set-up and run experiments using ABMs for systematic theoretical inquiry.
- Social Network Analysis – Explore social network concepts, data structures, and measures, and apply statistical models to social network data.
- Digital Strategies for Social Science Research – Extract relevant information from online data sources, deal with the mass of extracted data, and apply appropriate tools for making sense of the data.
- Inequality and Segregation: Theory and Measurement – Learn about commonly used measures of inequality and segregation employed in social science research, and calculate the measures using real data and a computational approach.
- Organizations: Theory and Research – Review major theories, empirical research, and related literatures in the study of organizations including organizational demography, organizational decision-making, and internal dynamics.
- Culture: Theory and Research – Review major theories, empirical research, and related literature in the study of cultural production and cultural consumption, with an emphasis on contemporary research using computational designs.
- Big Data: Social Processes and Ethical Issues - Examine the social processes involved in the creation, storage and use of large-scale digital data sets and related ethical issues.
- Studies Abroad – Optionally study abroad during the third semester at a partner institution where you will acquire training in topics and methods related to your social scientific interests and within the programme’s scope. Partners include the University of Utrecht, University College Dublin, University of Mannehim and Universidad Carlos III de Madrid.
- Master’s Thesis - Consult with a faculty advisor to devise research questions related to a topic of interest in the computational social sciences. Then perform original social research intended to answer these questions.