What?
The master’s program combines sociology and quantitative empirical social research with modern methods of data collection and analysis.
Who?
It is designed for students with a bachelor’s degree in sociology or social sciences who are interested in analyzing digital data sources.
What is it for?
It prepares students for careers in academia 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 focus through a two-semester research internship.
Customizable academic profile through required elective courses, e.g., cognitive science, Business Studies and Economics, and Computer Science.
Small groups with a maximum of 15 students per cohort offer an ideal student-to-faculty ratio.
Why Kaiserslautern?
The Technical University, with its strong Computer Science program, offers ideal conditions for an interdisciplinary degree that combines 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 surrounded by nature on the edge of the Palatinate Forest and close to France.
Key Information:
Standard duration of study: 4 semesters
Credit hours: 120 ECTS Degree: Master of Arts (M.A.)
Start of program: Winter semester
Application deadline: August 31
Contact:
PD Dr. Ingmar Rapp
Email: 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 |
Flyer on the degree programs
- Slide 1: Master's degree program in Sociology and Empirical Social Research with a focus on…Download 177 KB