Colloquium Master Thesis
level of course unit
2. Study cycle, Master
Learning outcomes of course unit
• are able to independently analyze, interpret and critically reflect on data with the help of a self-chosen scientific methodology.
• are able to present results in a comprehensible way and according to scientific standards within the framework of the Master thesis.
• are able to work out and actively develop arguments and problem solutions.
• are able to present and defend the results of the Master thesis.
prerequisites and co-requisites
Contents of all courses with links to the topic of the Master thesis of the entire program, especially Research Methods I-III, Academic Writing and MA-Camp
• Expansion of the knowledge of scientific work with regard to the development and implementation of a research design as well as the structuring of the working process
• Academic methods with MS Word or Latex
• Time series and/or panel data (if required)
• Advanced methods such as Tobit model or Poisson Regression (if required)
• Regular meetings to discuss the current status and progress of the Master thesis with the accompanying scientific supervision
• Information on the final Master's examination
recommended or required reading
• Wooldridge, Jeffrey: Econometric Analysis of Cross Section and Panel Data. The MIT Press (latest edition)
• Angrist, Joshua; Pischke, Jörn-Steffen: Mastering Metrics: The Path from Cause to Effect. Princeton Univers. Press
• Booth, Wayne; Colomb, Gregory; Williams, Joseph: The craft of research. University of Chicago press (latest edition)
• Sowie Literatur in Abhängigkeit vom gewählten Thema der Masterarbeit und der gewählten Methode
assessment methods and criteria
language of instruction
number of ECTS credits allocated
eLearning quota in percent
planned learning activities and teaching methods
semester/trimester when the course unit is delivered
name of lecturer(s)
Prof. (FH) Dr. Peter Dietrich
course unit code
type of course unit
mode of delivery