Main content
This entry is from Winter semester 2022/23 and might be obsolete. You can find a current equivalent here.
CS 696 — Master Thesis
(dt. Masterarbeit)
Level, degree of commitment | Thesis module, required module |
Forms of teaching and learning, workload |
Private study under guidance (Anfertigen der Masterarbeit), Öffentlicher Vortrag (Verteidigung der Arbeit), 900 hours (900 h private study) |
Credit points, formal requirements |
30 CP Course requirement(s): Examination type: Master's thesis with disputation |
Language, Grading |
German or, with the consent of the supervisor, in English,The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Data Science. In the event of failure, a total of 2 attempts are available for the examination. |
Duration, frequency |
6 months, each semester |
Person in charge of the module's outline | All lecturers of Computer Science and Mathematics |
Contents
Based on knowledge acquired in one or several modules of the Master's programme, a research-oriented topic is assigned to the student by the supervisor. The student and the supervisor discuss and select suitable scientific methods which will be employed during the preparation of the thesis.
Qualification Goals
The students, supervised by a thesis advisor, are able to work on a comprehensive topic from the field of Data Science and apply suitable scientific methods. They are able to communicate the results of thesis in written and oral form.
Prerequisites
At least 66 LP must have been acquired.
Applicability
The module can be attended at FB12 in study program(s)
- M.Sc. Data Science
When studying M.Sc. Data Science, this module must be completed in the study area Final Module.
Recommended Reading
- Depending on topic
Please note:
This page describes a module according to the latest valid module guide in Winter semester 2022/23. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:
- Winter 2016/17
- Summer 2018
- Winter 2018/19
- Winter 2019/20
- Winter 2020/21
- Summer 2021
- Winter 2021/22
- Winter 2022/23
- Winter 2023/24
The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.
The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.