Colloquium Master Thesis

2. Study cycle, Master

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.

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

• 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

Term paper

English

2

25

1.0

Blended Learning

4

Prof. (FH) Dr. Peter Dietrich

02.MV.ACS.4.1

seminar-degree

Compulsory

none