Colloquium Master Thesis
Niveau
2. Study cycle, Master
Learning outcomes of the courses/module
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.
• 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 for the course
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 content
• 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
• 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 specialist literature
• 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
• 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
English
Number of ECTS credits awarded
2
Share of e-learning in %
25
Semester hours per week
1.0
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
4
Name of lecturer
Prof. (FH) Dr. Peter Dietrich
Academic year
Key figure of the course/module
02.MV.ACS.4.1
Type of course/module
seminar-degree
Type of course
Compulsory
Internship(s)
none