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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 thesis (weight: 27 cp) and disputation (weight: 3 cp)
Language,
Grading		 English or German,
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

Building on knowledge from one or more modules of the master's program, a research-oriented topic is agreed upon between the student and the supervisor. A suitable selection of the scientific methods to be used in the work is made jointly.


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 2023/24. 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.