Brief description

Curriculum (German)

- geringfügige Änderung vom 24.6.2024

Degree programme code: 033 551
Degree programme: Bachelor's programme
Degree programme duration: 6 semesters
Workload: 180 ECTS credits
Degree: Bachelor of Science (BSc)
Language of instruction: German/English
Admission requirements: Secondary-school leaving certificate (Reifezeugnis) or university entrance qualification examinaton (Studienberechtigungsprüfung)
Application procedure: no

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Programme outcomes

Graduates of the bachelor’s programme in Statistics are familiar with the most important statistical concepts and methods, as well as with their possible applications using statistical software. They are qualified for a career in the field of statistics as well as for a master’s programme in the same field.

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Fields of activity

Due to the relatively small number of graduates and the wide range of job opportunities, the chances of finding a job after graduating from the programme are excellent.

Typical employers are public authorities or administrative bodies, market research and survey institutes, finance companies such as banks and insurance companies, pharmaceutical companies as well as universities and research institutions. Moreover, graduates of our programme have the opportunity to work as independent consultants or reviewers.

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 Structure

Introductory and Orientation Period (STEOP)
ECTS credits required: 26
Only after passing all STEOP examinations, students can attend additional courses and take further examinations.		ECTS credits
Grundzüge der Statistik
(Basic Principles of Statistics)		6
Wahrscheinlichkeitsrechnung
(Probability Calculation)		10
Lineare Algebra
(Linear Algebra)		10
Alternative compulsory modules
ECTS credits required: 121		ECTS credits
Einführung in die Inferenzstatistik
(Introduction to Inferential Statistics)		10
Analysis
(Analysis)		20
Decision Support
(Decision Support)		4
Lineare Modelle
(Linear Models)		12
Erweiterungen des Linearen Modells
(Extension of the Linear Model)		8
Statistik hochdimensionaler und komplexer Daten
(Statistics of High Dimensional and Complex Data)		4
Angewandte Statistik, Biostatistik und Bioinformatik
(Applied Statistics, Biostatistics and Bioinformatics)		14
Statistische Software und Computational Statistics
(Statistical Software and Computational Statistics)		11
Ökonometrie und Zeitreihenanalyse
(Econometrics and Time Series Analysis)		16
Einführung in die Finanz- und Versicherungsmathematik
(Introduction to Financial and Insurance Mathematics)		8
Seminar4
Mathematische Statistik
(Mathematical Statistics)		10
Free elective module
ECTS credits required: 30		ECTS credits

Individuelle Vertiefung
(Individual Specialisation)

Students can choose between:

  • Economics (Volkswirtschaftslehre)
  • Business Administration (Betriebswirtschaft)
  • Mathematics (Mathematik)
  • Informatics (Informatik)
  • Psychology (Psychologie)
  • Sociology (Soziologie)
  • Bioscience (Biowissenschaften)
  • Bioinformatics (Bioinformatik)
  • Earth sciences (Geowissenschaften)
  • Medical science (Medizin)
30
Bachelor's thesis
ECTS credits required: 3		ECTS credits
Bachelorarbeit
(Bachelor's thesis)		3
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 Curriculum/Study plan

For all legal regulations and a detailed description of the structure of this degree programme, please refer to the curriculum.

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Personal requirements

A strong interest in the subject and talent are important factors for choosing the bachelor’s programme in Statistics. Students of the programme should be interested in the handling of data and software and should have a certain mathematical talent. In professional life, graduates of the programme are expected to be open to and able to work in teams with experts from other disciplines.

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Admission

You find general information about the admission procedure on the website of the StudiesServiceCenter or on the website of Student Point.

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Contact and help

Please address questions and concerns regarding the admission procedure to "Studienservice und Lehrwesen" via their contact form.

If you have any questions regarding the content of the programme, please contact:
ssc.wiwi@univie.ac.at
strv.statistik@univie.ac.at

If you have organisational questions regarding the programme, please contact:
ssc.wiwi@univie.ac.at

You find useful information on the website of the SSC.

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