Teaching
The professorship for Social Data Science and Methodology offers courses at bachelor and master level as well as in the context of doctoral training. Lecture, exercise and tutorial dates can be found as registered students in Portal2.
Self-paced courses on ILIAS
Courses in Spring Term
Bachelor's Degree
Course name Credits Details Term Empirisches Forschungspraktikum I 5 ECTS spring term Kolloquium Abschlussarbeit Methoden der empirischen Sozialforschung 3 ECTS spring term Master's Degree
Course name Credits Details Term Exemplary Empirical Studies 3 ECTS spring term Seminar in Research Methods: Generative AI in the Social Sciences 6 ECTS spring term Thesis Colloquium 3 ECTS spring term Doctoral Program
Course name Credits Details Term CDSS Workshop: Sociology 3 ECTS spring term Dissertation Tutorial (Gautschi/Hillmann/Kreuter) 2 ECTS spring term
International Program in Survey & Data Science
IPSDS attracts professionals working with data collection and data analysis, who choose to enhance their skills through an online learning environment. With this challenging English-taught program, you will be ready to tackle fundamental changes in the ways how survey and big data are generated, integrated, and disseminated. The program prepares you for a wide range of research and practitioner positions where data use is crucial.
IPSDS offers multidisciplinary curriculum taught by faculty from world’s top ranked universities, statistical agencies and businesses. The program is offered jointly through the University of Mannheim and the Joint Program in Survey Methodology – a consortium of the University of Maryland, the University of Michigan, and Westat.