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Master thesis
level of course unit
Master's courseLearning outcomes of course unit
The following skills are developed in the course:
- Students can independently write a Master thesis in the field of Data Science.
- Students can independently set up and carry out a scientific project.
- Students can independently write a Master thesis in the field of Data Science.
- Students can independently set up and carry out a scientific project.
prerequisites and co-requisites
No prerequisites
course contents
Students independently draft a project idea for their own Master thesis, describe it in the form of an exposé and submit it to the program management for approval. Students then work on the topic and write a Master thesis, which is submitted for review.
recommended or required reading
PRIMARY LITERATURE:
- 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 thesis
language of instruction
Germannumber of ECTS credits allocated
22eLearning quota in percent
0course-hours-per-week (chw)
0planned learning activities and teaching methods
The following methods are used:
- Coaching within the scope of the Master thesis preparation
- Coaching within the scope of the Master thesis preparation
