Graduate Tracking

Register-based analysis of career starts and career paths of university graduates in the Austrian labour market in cooperation of the Unit for Quality Assurance with Statistics Austria.


Aims and data basis

Graduate tracking aims at obtaining information about labour market integration and career paths of university graduates. Therefore, Statistics Austria makes a register-based analysis of career starts, job opportunities as well as income opportunities on behalf of the public universities in Austria. Statistics Austria links data from different registers in full compliance with data protection legislation. Therefore, it is not possible to identify individual persons. The analysis focuses on the first ten years of employment after graduation of university graduates.


Results and factsheets

Selected results are available in the form of factsheets divided into degree programmes and academic degrees (bachelor’s, master’s, diploma, doctoral) as well as broader fields of study (ISCED fields of education). The factsheets comprise diagrams regarding the following areas:

  • Labour market status
  • Time period until the first employment
  • Top-5-sectors
  • Gross monthly income for full-time employees

Availability and interpretation of data

Many bachelor’s and master’s programmes have only been introduced at the University of Vienna a few years ago. There are partly no conclusive data available for the first five years of employment after graduation from these degree programmes yet. Information about comparable degree programmes and academic degrees can serve as indication of interpretation.

Missing data in the presentations of findings indicate that there were not sufficient raw data available for the item of the study to ensure the anonymity of the graduates.

Study values are median values rather than mean values. The median is the “middle person”. In the case of income data, for example, 50 % of the people lie above this median value and 50 % below. The median is more resistant to extreme scores that can occur in the case of very uneven spreads. If few people earn very much, for example, the mean value would be distorted in this direction.


HR Mag. Dr. Lukas Mitterauer-Koch

T: +43-1-4277-18002

Mag. Dr. Michael Hofer

T: +43-1-4277-18010

Mag. Franziska Kurka, BSc MSc

T: +43-1-4277-18008