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Title
Statistics and Data Analytics (Bachelor)
Category
undergraduate
UUID
c1d4a03fec754b388f810b9797011c31
Source URL
https://studieren.univie.ac.at/en/degree-programmes/bachelordiploma-programmes/s...
Parent URL
https://studieren.univie.ac.at/en/degree-programmes/bachelordiploma-programmes/
Crawl Time
2026-03-24T06:37:51+00:00
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Statistics and Data Analytics (Bachelor)

Source: https://studieren.univie.ac.at/en/degree-programmes/bachelordiploma-programmes/statistics-and-data-analytics-bachelor-with-osa/ Parent: https://studieren.univie.ac.at/en/degree-programmes/bachelordiploma-programmes/

© Lukas / Pexels

The bachelor's programme in Statistics and Data Analytics aims at providing students with fundamental knowledge of statistical methodology, its applications and its information technologies. In addition, students can acquire a professional command of English in the area of statistics (courses can be taken in English).

Bachelor of Science

Degree Programme Code: 033 551

6 semesters / 180 ECTS credits (including 30 ECTS credits of extension curricula/individual emphasis)

Language: German

NO entrance examination

Curriculum

Facts & Figures

Data updated on: 26.11.2025

Information about presentation & calculation

*Click here for further information on statistical data in the field of teaching and learning. (in German)

Attention

Instruction Language German

Please note that the instruction language of this programme is German. To start the degree programme, you need to hold a certificate of German proficiency on C1 level.

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Admission Procedure

Information about the admission procedure

Getting Informed

StudiexServiceCenter (SSC) Business, Economics and Statistics

Students' Representatives Statistics

Getting Started

Orientation course

Orientation in the first semester

Semester planning

Introductory and orientation period (STEOP)

Study Programme

The bachelor’s programme in Statistics and Data Analytics consists of an Introductory and Orientation Period (STEOP) and compulsory modules on the core subject areas of statistics. To successfully complete the programme, students have to write a bachelor’s thesis.

Five Concepts

which you will deal with during your studies:

... and many more.

Overview of the programme structure & topics

Here you find the current offer of courses for this programme to gain better insight into the topics and structure. For more information please click on the respective level.

Introductory and Orientation Period (16 ECTS)

GZSTAT Basic Principles of Statistics (6 ECTS)

WR Probability Calculation (10 ECTS)

Compulsory Modules (131 ECTS)

INFSTAT Introduction to Inferential Statistics (10 ECTS)

LAG Linear Algebra (10 ECTS)

ANA Analysis (20 ECTS)

DS Decision Support (4 ECTS)

LINMOD Linear Models (12 ECTS)

ERWLINMOD Extension of Linear Models (8 ECTS)

HDKD Statistics of high-dimensional and complex data (4 ECTS)

ASTBIO Applied Statistics, Bio Statistics and Bio Informatics (14 ECTS)

SSCS Software and Computational Statistics (11 ECTS)

ÖKOZR Econometrics and Time Series Analysis (16 ECTS)

FNZVS Introduction to Financial Mathematics and Actuarial Mathematics (8 ECTS)

SEM Seminar (4 ECTS)

MATHSTAT Mathematical Statistics (10 ECTS)

Elective Module (30 ECTS)

WAHLF Individual Extension (30 ECTS)

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After Graduation

Graduates can pursue a career in the following occupational fields:

Master's Programmes

Continuing after Graduation

Graduates' Perspective on the Degree Programme

#### Degree programme in retrospect

Graduates ...

→ These results are basd on feedback from 51 graduates.

*You can find further assessments of the degree programme from its graduates’ perspective in the graduate survey of thebachelor’s programme in Statistics graduation survey (in German).

#### Career entry & paths

Graduates ...

*You can find further information on career entry and career paths in the tracking of graduates "Natural Sciences, Mathematics and Statistics".

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