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This entry is from Winter semester 2018/19 and might be obsolete. No current equivalent could be found.

CS 696 — Master Thesis
(dt. Masterarbeit)

Level, degree of commitment Thesis module, depends on importing study program
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
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.
Origin M.Sc. Data Science
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

Translation is missing. Here is the German original:

Es müssen mindestens 66 LP erworben worden sein.


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 2018/19. 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:

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.