Master Thesis
Niveau
Master's degree program
Learning outcomes of the courses/module
The participants:
• can independently write a master's thesis in the field of data science
• can independently set up and carry out an academic project
• can independently write a master's thesis in the field of data science
• can independently set up and carry out an academic project
Prerequisites for the course
No prerequisites
Course content
Students independently develop a project idea for their own master's thesis, describe it in the form of a proposal, and submit it to the program director for approval. Students then work on the topic and write a master's thesis, which is submitted for assessment.
Recommended specialist literature
PRIMÄRLITERATUR:
- Franck, N. (2007): Handbuch Wissenschaftliches Arbeiten (Ed. 2), Fischer Taschenbuch Verlag, Frankfurt am Main (ISBN: 978-3596151868)
- Franck, N. (2007): Handbuch Wissenschaftliches Arbeiten (Ed. 2), Fischer Taschenbuch Verlag, Frankfurt am Main (ISBN: 978-3596151868)
Assessment methods and criteria
Master's thesis
Language
English
Number of ECTS credits awarded
22
Semester hours per week
Planned teaching and learning method
The following methods are used:
- Coaching during the preparation of the master's thesis
- Coaching during the preparation of the master's thesis
Semester/trimester in which the course/module is offered
4