Master in Computational Social Science

El curso 2022-2023 dará comienzo en la Universidad Carlos III de Madrid (Campus Puerta de Toledo) el Master in Computational Social Science (MUCSS), de un año de duración (60 ECTS), impartido íntegramente en inglés.

Colaboran Carlos III-Juan March Institute y UC3M-Santander Big Data Institute.

Me encargaré de la asignatura Social and ethical issues of Big Data & AI.


Presentation (full flyer, power point)

Digital technology has revolutionized society and the way we study it. Much human interaction is now recorded in the form of a digital footprint, and analyzing this footprint allows us to gain an unprecedented understanding of society and its workings. In this context, the computational social scientist has emerged, combining the standard training of the social scientist with new computational approaches based on predictive modeling, text analysis and network science.

The Master in Computational Social Science offers specialized training in cutting-edge computational and quantitative analysis techniques oriented to the study of the Social Sciences. This program prepares you to take advantage of complex data and advanced computational tools to understand society and human behavior.

This Master is geared towards students with a background in Social Sciences, Economics, Communication and Law. It will prepare candidates to work in the professional and academic fields, as well as to lead and supervise interdisciplinary teams in the field of Computational Social Sciences.

Curriculum

The Master is composed of three main modules.

  • The Social Sciences Module (21 ECTS) has a theoretical component (9 ECTS) where students will learn the foundations and possibilities of Computational Social Sciences, gain familiarity with the main behavioral theories and discuss social and ethical issues of Big Data and Artificial Intelligence; in parallel, the methodological component (12 ECTS) features courses on research design, survey design and social network analysis.
  • The Statistics Module (12 ECTS) provides a key quantitative foundation, offering various courses on modelling and causal inference.
  • The Computational Module (18 ECTS) will provide a cutting-edge set of R-based tools for data mining, analysis and visualisation.

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