Computational Social Systems

An interdisciplinary master's program integrating skills and expertise in algorithmic systems and data science with social science theories and ethics

Basic Information
  •   Master of Science
  •   4 Semesters
  •   120 Credits
  •   English
Requirements
  •   ~300€ per semester
  •   University Degree
  •   No NC

Important Note

Unfortunately, the Master's program in Computational Social Systems is being discontinued.
That is why we now longer accept applications for a first semester entrance.
The information on this page will be retained for future reference.

Overview

The goal of the international master program in Computational Social Systems is to provide a new generation of scientists with skills and knowledge at the intersection of computer science, social sciences, cognitive sciences and ethics. This requires mastering:

  • Algorithms and data structures
  • Machine learning methods
  • Social issues with Computational Social Systems
  • Challenges of Computational Social Systems and their moral consequences
Students of this program will be able to ask social and moral questions around the production and use of data in the individual, organizational and social context using methods from computer science and data science.

For Computer Scientists

For Social and Cognitive Scientists

The program offers the opportunity to apply their technical skills to critically evaluate, shape and reflect on the effects of digitalization on individuals, organisations, and the society as a whole.
The program offers the opportunity to acquire the programming and data science expertise which would allow them to analyze social data and its relevance for individuals, organizations, and the society as a whole.

When you graduate, you'll be able to:

  • Collect data responsibly and efficiently
  • Process and clean the collected data
  • Apply the correct machine learning techniques
  • Asses the quality of machine learning models
  • Visualize your results and findings
  • Understand the challenges and social and moral consequences of social systems
  • Collaborate with other individuals to tackle big data problems

Curriculum

The curriculum is divided in three areas of study: Research Skills, Computer Science, and Social Sciences & Humanities. Depending on your choice of Major in Social Data Science, Human Technology Interaction or Ethics of Human Technology Relations, you will focus more on courses from the Computer Science area or the Social Sciences & Humanities area. All students of this program have to pass the 3 basic courses. Besides these compulsory basic courses, within their respective chosen Major, each student has to pass 4 compulsory courses, choose supplementary courses from both Computer Science and Social Sciences & Humanities, work on a Research Project, and write their Master Thesis.

Basic Courses
  • Introduction to Algorithmic Societies
  • Ethics, Technology and Data
  • Theories of CMC and HCI
Major Specific Courses
  • 4 Compulsory Courses
  • Electives Computer Science
  • Electives Social Sciences & Humanities
Research
  • Research Project
  • Master Thesis
  • Master Colloquium
Major Social Data Science

Frequently Asked Questions

Note: If your question is not on the list please don't hesitate to contact us