Data Science & Intelligent Analytics PT
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Scientific Work

level of course unit

Masterstudium

Learning outcomes of course unit

Students learn how to independently perform complex research. They also learn how to structure this research in a methodically correct manner and execute it properly.

prerequisites and co-requisites

not specified

course contents

Students acquire consolidating knowledge in scientific working based on a research project that is to be developed in small groups. Students are trained in the area of data analysis including inferential statistics building on the fundamental knowledge of techniques and rules of scientific work.

Students are enabled to develop complex scientific problems and research designs, which implies an advanced level of structure and content as well as form and language.

The practical development of the abovementioned knowledge prepares students both for-mally and methodically for the writing of a master thesis – the exposition and critical ques-tioning of scientific methodology for a master thesis are also taken into account. Possible topics and hypotheses are discussed in order to support students in their search for rele-vant and highly qualitative problem areas.

recommended or required reading

- Ebster, C.; Stalzer, L. (2013) Wissenschaftliches Arbeiten für Wirtschafts- und Sozialwissenschaftler. 4. Auflage, UTB, Stuttgart (ISBN: 978-3825238612).
- Franck, N. (2007) Handbuch Wissenschaftliches Arbeiten. 2. Auflage, Fischer Taschenbuch Verlag, Frankfurt am Main (ISBN: 978-3596151868).
- Schütz, M.; Röbken, H. (2016) Bachelor- und Masterarbeiten verfassen: Abschlussarbeiten in Organisationen. 1. Auflage, Springer Gabler, Wiesbaden (ISBN: 978-3658123451).
- Theisen, M. R.; Theisen, M. (2017) Wissenschaftliches Arbeiten: Erfolgreich bei Bachelor- und Masterarbeit. 17. Auflage, Vahlen, München (ISBN: 978-3800653829).

assessment methods and criteria

Seminar thesis

language of instruction

German

number of ECTS credits allocated

2

course-hours-per-week (chw)

1

planned learning activities and teaching methods

-Lecture with discussion
-Group work
-Interactive workshop

semester/trimester when the course unit is delivered

3

name of lecturer(s)

Head of studies

year of study

2

recommended optional program components

N.A.

course unit code

MPA.1

type of course unit

SE

mode of delivery

In-class course

work placement(s)

N.A.

Kontaktpersonen

Mitarbeiterfoto Karsten Böhm
Prof. (FH) Dipl.-Informatiker Karsten Böhm
Director of Studies
+43 5372 71819 133
Karsten.Boehmfh-kufstein.ac.at
questions -  Any
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Förderer

Mit Unterstützung von Bund, Land und Europäischer Union: