1661 Access to Specialization in Business Administration: Data Science
PD Dr. Ronald Hochreiter, Univ.Prof. Dr. Axel Polleres, Dr. Jürgen Umbrich
  • LV-Typ
  • Semesterstunden
    keine Daten vorhanden
  • Unterrichtssprache
27.08.2018 bis 04.09.2018
Anmeldung über LPIS
Hinweise zur LV
Wochentag Datum Uhrzeit Raum
Montag 03.09.2018 13:00 - 16:00 TC.0.01 ERSTE
Dienstag 04.09.2018 13:00 - 16:00 TC.0.01 ERSTE
Freitag 07.09.2018 18:00 - 20:00 TC.0.10 Audimax

Inhalte der LV

In these 2 3hrs Tutorials and entry exam, the students will repeat the prerequisites learnt in previous courses such as

- BIS 1

- Introduction to Statistics (CBK)

necessary to qualify for the SBWL "Data Science". You will also discuss and learn about more general skills necessary for a "Data Scientist", such as analytical, logical thinking and problem solving.

Lernergebnisse (Learning Outcomes)

Based on practical examples and 2 3hrs Repititorium, students shall be prepared to a) recall the necessary prerequisites in terms of Data formats, Data Structures and Data security and Data protection from BIS 1, as well as basic statistics. Additionally we will prepare the students to solve creative tasks on how to tackle data related problems and test their analytical thinking skills.


There will be 2 tutorial sessions á 3hrs (4.+5.9.2018), to repeat the necessary content of previous courses from the CBK with practical examples to recapture the required concepts and methods. Attendance of these  tutorial sessions is optional.

Leistung(en) für eine Beurteilung


This entry course for the SBWL "Data Science" consists of two (attendance optional) tutorial blocks á 3hrs and concludes with an (obligatory) 90min written entry exam that will be held on 7.9.2018 (18-20).

The exam will consist of 3 blocks:

  • Betriebliche Informationssysteme
  • Statistics
  • Analytical Thinking

Each block will consist of both multiple choice and open questions.


Passing the exam is obligatory to enter the SBWL "Data Science".



Students who achieved a grade of "Sehr Gut (1)" in two out of the following courses

"Grundzüge der Programmierung" + "Datenbanksysteme" + "Einführung in die Statistik"

are automatically qualified for the SBWL, but should nevertheless complete the entry exam, since it will serve as the first partial assessment for the SBWL course "Data Processing 1".


ATTENTION: Students who want to make use of this "Greencard-Option" should send a confirmation (Sammelzeugnis) of the nessesary grades in advance to with the subjectline "Greencard SBWL Data Science".


1 Autor/in: Hans Robert Hansen / Jan Mendling / Gustaf Neumann


Auflage: 11. Auflage
Jahr: 2015
Prüfungsstoff: Ja
Empfehlung: Unbedingt notwendige Studienliteratur für alle Studierenden
Art: Buch
2 Autor/in: ICO - Information Commissioner's office

What is personal data? – A quick reference guide

Verlag: ICO - Bitish Information Commissioner's office (Britische Datenschutzbehörde)
Anmerkungen: Web Reference, available at:
Prüfungsstoff: Ja
Empfehlung: Unbedingt notwendige Studienliteratur für alle Studierenden

Empfohlene inhaltliche Vorkenntnisse

It is recommended to have passed positively the courses

  • Betriebliche Informationssysteme (BIS 1) and
  • Statistics

from the Common Body of Knowledge (CBK) of the Bachelor Programme of BusinessEconomics and Social Sciences.

Particular parts (mostly, chapters 3, 8, 9, 10) of the Book “Wirtschaftsinformatik”, 11th edition by Hans Robert Hansen / Jan Mendling / Gustaf Neumann

as well as from the course material of "Statistics" (all chapters) will be repeated in the tutorials.

Additionallty, we recommend skills such as analytical thinking requires from a Data Scientist, which we will train with for instance typical "interview questions" from Data Science companies. Some examples will be presented in the tutorials.

Common Body of Knowledge (CBK)


Note that, since the SBWL is going to be held in English, as a preparation, the tutorials as well as the concluding entry test will be in held in English per default
Zuletzt bearbeitet: 26.06.2018