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Application Project
Application Project
MADS-AP
ApplProj-01-MA-M
Prof. Dr. Schwörer, Tillmann (tillmann.schwoerer@haw-kiel.de)
Prof. Dr. Doerfel, Stephan (stephan.doerfel@haw-kiel.de)
Prof. Dr. Doerfel, Stephan (stephan.doerfel@haw-kiel.de)
Prof. Dr. Schwörer, Tillmann (tillmann.schwoerer@haw-kiel.de)
Wintersemester 2026/27
1 Semester
In der Regel jedes Semester
Englisch
Studiengänge und Art des Moduls (gemäß Prüfungsordnung)
Studiengang Vertiefungsrichtung Schwerpunkt Modulart Fachsemester
M.Sc. - DS - Data Science Pflichtmodul
Kompetenzen / Lernergebnisse
Kompetenzbereiche: Wissen und Verstehen; Einsatz, Anwendung und Erzeugung von Wissen; Kommunikation und Kooperation; Wissenschaftliches Selbstverständnis/Professionalität.
Students
- know how to organize data science projects.
- know how to perform the relevant tasks in data science projects.
Students
- are able to apply their knowledge in real-world data science projects.
Students
- are able to work professionally with external customers
- are able to successfully organize teamwork for data science projects.
- are able to report and present team solutions for practical project tasks.
- are able to leverage the individual skills of all team members.
Students
- are able to work professionally in the field of data science.
- are able to give and accept professional feedback to different topics of data science.
Angaben zum Inhalt
In general, the application project is carried out in teams and together with an external project partner. Topics are provided by the lecturers in collaboration with the external project partners. The application project requires independent and self-contained work in the teams to deepen the knowledge obtained from the data science lectures.

The application project work typically includes:
- Creation and assessment of methods according to standard research methodologies.
- Execution of experiments and documentation.
- Creation, implementation and documentation of tools and applications.
- Regular progress reports and consultations with both project partners and lecturers
- Presentation of results to project partners and participants of the study programme
Presentation slides
Information by provided by project partner
Lehrformen der Lehrveranstaltungen
Lehrform SWS
Projekt 8
Arbeitsaufwand
8 SWS
10,0 Leistungspunkte
96 Stunden
204 Stunden
Modulprüfung
Prüfungsform Dauer Gewichtung wird angerechnet gem. § 11 Absatz 2 PVO Benotet Anmerkung
Projektbezogene Arbeiten 100 %
Sonstiges
It is strongly recommended to have heard the modules of the first semester of the Data Science program.
Important: Due to the nature of this module, some planning is required before-hand (at the end of the previous semester's lectures and before the lectures start in this semester).
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