ACISS Courses


You can choose from eight intensive courses on quantitative and qualitative research methods with an attractive course format: 5 consecutive days comprising 6 hours of classroom interaction per day, for a total of 30 hours. Upon successful completion of each course, you will earn 5 ECTS credits, which master students can have counted towards their degree program irrespective of their area of specialization (“Vertiefungsbereich”).

All courses will be highly interactive and will comprise classroom discussions, student presentations, and in some cases also computer lab sessions. The courses have been selected and designed to help you acquire hands-on research skills in topics such as qualitative research, grounded theory, academic publishing, advanced econometrics, data mining, and scale development. These skills will prove most helpful for designing and conducting empirical research projects for instance as part of your master thesis, PhD research or later professional life.

Course Topic Duration Instructor

Introduction to the Publication Process in Peer-Reviewed Journals

Qualitative / Quantitative

05.10. – 11.10.

Peter Letmathe (RWTH)

Introduction to Applied Advanced Econometrics


31.07. – 04.08.

Almut Balleer (RWTH)

Introduction to Lab and VR Experiments

Qualitative / Quantitative

11.09. – 15.09.

Özgür Gürerk (RWTH)

Introduction to Social Network Analysis using Advanced Data Mining


18.09. – 22.09.

Richard Weber (Universidad de Chile)

Introduction to Applied Empirical Research and Replication Studies


11.09. – 15.09.

Christian Hopp (RWTH)

Introduction to Measurement Theory and Structural Equation Modeling (SEM) Quantitative 25.09.– 29.09. Petra Riefler (University of Vienna)
Introduction to Data Science and Machine Learning Quantitative 09.10. – 13.10.
Introduction to Survey Design Quantitative 28.08. – 01.09. Sven Mikolon (Imperial College London) and
Sankalp Chaturvedi
(Imperial College London)