Master's degree in statistics

The current curriculum came into force on 1 October 2007 and the last amendment in June 2023.

Graduates of the Master's Programme in Statistics have in-depth knowledge of the theoretical foundations and concepts of statistics as well as problem-solving skills in applied areas such as econometrics, quantitative finance, decision support and biometrics.

The prerequisite for admission to the Master's programme in Statistics is a Bachelor's degree (or a higher degree) in a field of study with a strong connection to statistics and mathematics (at least 24 ECTS credits in statistics/stochastics including measure theory, financial mathematics and econometrics as well as at least 24 ECTS credits in mathematics, together at least 75 ECTS credits; similar courses are not counted twice here).

Admission can be granted with or without conditions. Conditions are intended to ensure sound knowledge in the following areas, among others: Higher Analysis, Linear Models, Software/Programming.

Recommendations for students of Business Administration, International Business Administration, Economics and Mathematics at the University of Vienna who are seeking admission to the Master's programme in Statistics:

If you choose

Bachelor's programme in Business Administration

  • the professional field (alternative compulsory module) Business Statistics (24 ECTS points)

as well as the courses

  • Statistics 2 (6 ECTS points),
  • Computational Statistics (4 ECTS points),
  • Advanced Analysis VO+UE (6+4 ECTS credits)

within the framework of the individual specialisation (30 ECTS credits), then together with the quantitative compulsory subjects (20 ECTS credits in mathematics + 13 ECTS credits in statistics) you get 30 ECTS credits in mathematics and 47 ECTS credits in statistics (77 ECTS credits in total).

 

If you choose

Bachelor's programme in International Business Administration

  • the professional field of business statistics (24 ECTS points)

as well as the course

  • Statistics 2 (6 ECTS points)

within the scope of the individual specialisation (30 ECTS credits) and furthermore the course

  • Computational Statistics (4 ECTS credits)

as part of the compulsory module International Business (20 ECTS credits compulsory + 4 ECTS credits optional), then together with the quantitative compulsory subjects (20 ECTS credits Mathematics + 13 ECTS credits Statistics) you only get 20 ECTS credits Mathematics and 47 ECTS credits Statistics (together 67 ECTS credits), so that the courses

  • Advanced Analysis VO+UE (6+4 ECTS points)

would have to be completed outside the curriculum in order to fulfil the admission criteria.

 

If one chooses for the

Bachelor's programme in Economics

the course

  • Higher Analysis VO+UE (6+4 ECTS points)

as part of the individual specialisation (15 ECTS points) or the compulsory module Economics Electives (33 ECTS points), then together with the quantitative compulsory subjects (20 ECTS points Mathematics + 12 ECTS points Decision and Game Theory + 19 ECTS points Statistics + 16 ECTS points Econometrics) you will get 42 ECTS points Mathematics and 35 ECTS points Statistics (77 ECTS points in total).

 

If you choose for the 

Bachelor's programme in Mathematics

2 of the 3 elective modules

  • Career-oriented mathematics: Financial mathematics (7 ECTS points),
  • Stochastics (7 ECTS points),
  • Career-oriented Mathematics: Applied Statistics (7 ECTS points),

then together with the compulsory module

  • Probability Theory and Statistics (10 ECTS points)

you get 24 ECTS points in statistics/stochastics.