The Master’s programme comprises 6 module groups:

1. Fundamentals (30 ECTS credits)

The Fundamentals module group includes core modules on statistical methods, statistical programming and statistical machine learning.

2. Survey Statistics (12–30 ECTS credits)

The Survey Statistics module group covers the statistical methodology aspect of the Master’s programme.

3. Data Analysis (12–30 ECTS credits)

In the Data Analysis module group, alongside the development of skills for analysing specific data situations, students also acquire advanced knowledge of the programming languages R and Python. Modules in this group are structured less methodologically than those in the Survey Statistics module group and place a clear emphasis on practical application using concrete data examples.

4. Application (0–12 ECTS credits)

In addition, courses within the ‘Application’ module group offer you the opportunity to acquire interdisciplinary knowledge, build on existing skills or gain an interdisciplinary insight into the competencies of other subjects. Furthermore, additional modules from the ‘Survey Statistics’ and ‘Data Analysis’ module groups may be included.

5. Research and Practice (0–18 ECTS credits)

Within the ‘Research and Practice’ module group, you can consolidate the knowledge you have acquired in an application-oriented manner and gain valuable practical, professional and personal experience. Taking part in a research project or completing a work placement offers the opportunity to gain an insight into future career fields and to establish initial professional contacts.  

6. Master’s Thesis (30 ECTS credits)

The Master’s thesis finally rounds off your degree programme. Through the written thesis and the associated colloquium, you are expected to demonstrate your ability to familiarise yourself independently with an interesting problem within a given timeframe, analyse it using academic methods, and discuss the results in written form.