International Business Studies FT
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Colloquium Master Thesis

level of course unit

2. Study cycle, Master

Learning outcomes of course unit

The students:
• 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

course contents

• 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

Term paper

language of instruction


number of ECTS credits allocated


eLearning quota in percent


course-hours-per-week (chw)


planned learning activities and teaching methods

Blended Learning

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


work placement(s)