What is it?
The Master's program combines sociology and quantitative empirical social research with modern methods of data collection and analysis.
Who?
It is aimed at students with a Bachelor's degree in sociology or social science subjects who are interested in analyzing digital data sources.
What is it for?
It prepares students for a career in science or new professional fields such as data science, data analytics or data engineering.
Special features!
Combines sociology and quantitative empirical social research with computer science.
Strong research orientation through 2-semester research internship.
Individual profile development through compulsory elective courses, e.g. Cognitive Science, Business Studies and Economics and Computer Science.
Small groups with a maximum of 15 students per year offer an ideal supervision ratio.
Why Kaiserslautern?
Kaiserslautern University of Technology with a strong focus on computer science offers ideal conditions for interdisciplinary studies combining social sciences and computer science.
Numerous research institutes and companies are based in Kaiserslautern or the neighboring Rhine-Neckar and Rhine-Main regions.
Urban quality of life in the middle of nature on the edge of the Palatinate Forest and close to France.
General data:
Standard period of study: 4 semesters
Scope: 120 ECTS Degree: Master of Arts (M.A.)
Start: Winter semester
Application deadline: August 31
Contact:
PD Dr. Ingmar Rapp
E-mail: ingmar.rapp@rptu.de
Equivalence list for omitted courses from the module "Application of Intelligent Systems"
| Canceled events | Substitute events |
| Collaborative Intelligence | Applied Machine Learning (INF-77-22-K-5) |
| Agent-based simulations of complex systems | Engineering with Generative AI (INF-77-21-K-5) |
| Social Web Mining | Object-Oriented Programming Computational Linguistics |