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Business Analytics (master's programme)

Discover the world of data analysis and decision support! On the English-taught master's programme in Business Analytics, you will learn how to use state-of-the-art methods and tools to make data-driven decisions and help businesses prepare for the future. Become an expert in statistics, data science and operations research, and play an active role in shaping the digital transformation.

  • The degree programme in a nutshell

    Overview
    Programme Code

    066 977

    Duration

    4 semesters

    Extent

    120 ECTS 

    Before admission

    Selection procedure

    Degree

    Master of Science (MSc)

    Contents

    Curriculum for the master's programme in Business Analytics (PDF, only available in German) 

    Cost

    Tuition fee/Student's Union fee (per Semester)

    A selection procedure is conducted in the master's programme in Business Analytics. Find a short overview at “The selection procedure” → 

  • The selection procedure

    Overview
    Application period

    Deadline for the academic year 2027/28 is to be announced. 

    Available places

    40

    Allocation of places

    Allocation by selection committee 

    Language

    English (admission requirement)

    Requirements

    Read all details about the requirements for admission to and the selection procedure for this master's programme in the Master Access Guide (MAG). 

    To the Master Access Guide (MAG)

    Please note: the selection procedure takes place only once per academic year! Only those who successfully participate in it and meet all admission requirements can start their studies. 

What is it about?

On the master's programme in Business Analytics, you will independently solve business decision-making problems, justify recommendations based on evidence and hone your analytical thinking. You will learn to apply predictive and prescriptive analytics with confidence – from analysing large datasets to developing prototype decision-support systems. You will benefit from interdisciplinary exchange in joint courses with students on the Master’s programmes in Data Science and Digital Humanities. You will also deepen your knowledge of statistics, operations research, data science and information systems, whilst taking into account business, ethical and legal considerations.

Ian Ehm

Insight into the course content

How is my degree programme structured? You can see a list of the course contents here:

Facts and figures

  • 86 students
    in total
    There were 14 graduates in the past academic year.
    Info about the calculation
    Data updated November 2025
  • 5.1 semester
    average study duration
    Info about the calculation
    Data updated November 2025
  • Appropriate 3.5
    level of difficulty of the degree programme
    This is how graduates rate their degree programmes. You can find the results in the Graduation Survey (PDF).
    Data updated 2025
  • € 4,299
    average gross monthly income 3 years after graduation
    What career paths are available after graduation? Answers in the Graduate Tracking.
    Data updated 2025

What can you expect after your studies?

Continue studying or start your career straight away? After completing your masters programme, all paths are open to you. Whether you decide to pursue a doctoral/PhD degree or take the plunge into the world of work, the possibilities are endless. The following overview shows you what options you have and where you can find the right support.

Ian Ehm

Career profiles

  • Which careers are possible after this degree?

    Upon completion of this degree programme, you will be able to work as a highly qualified specialist in the following fields:

    • IT Consultant
    • Business Analyst
    • Academic career

You have further questions?

StudiesServiceCenter

Do you have any questions about registering for courses and exams? Or about grades and recognition? The StudiesServiceCenter of the Faculty of Business, Economics and Statistics is the right place to go.

To the StudiesServiceCenter

Data Science @ Uni Vienna

The platform Data Science is a research network that serves as the central point of contact for all activities in the area of data science at the University of Vienna.

To the research network Data Science

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What else should you know?