Compulsory modules:

• Introduction to Econometrics (6 ECTS credits)
• Statistical programming with R (6 ECTS-credits)
• Introduction to Bayesian statistics (6 ECTS-credits)
• Statistical Machine Learning (6 ECTS-credits)
• Advanced statistics (6 ECTS-credits)

At least one of the two modules "Sampling Procedures" (SuStat-011-M) or "Small-Area Estimation" (SuStat-034-M) must be selected.

• Stichprobenverfahren (6 ECTS-Credits)
• Small-Area-Schätzverfahren (6 ECTS-Credits)
• Rechnerintensive Verfahren / Monte-Carlo-Methoden (6 ECTS-Credits)
• Varianzschätzmethoden (6 ECTS-Credits)
• Statistical Analysis of Missing Data (6 ECTS-Credits)
• Zeitreihenanalyse (6 ECTS-Credits)
• Fortgeschrittene Erhebungsmethoden der quantitiativen Sozialforschung (6 ECTS-Credits)
• Vertiefende Themen der Amtlichen Statistik (6 ECTS-Credits)
• Seminar zu Survey-Statistischen Verfahren (6 ECTS-Credits)
• Advanced Topics in Survey Statistics I (6 ECTS-Credits)
• Advanced Topics in Survey Statistics II (6 ECTS-Credits)
• Advanced Small Area Estimation (6 ECTS-Credits)

Elective modules:

• Advanced econometrics (6 ECTS-Credits)
• Analyse hochdimensionaler Daten (6 ECTS-Credits)
• Advanced Data Analysis With R (6 ECTS-Credits)
• Statistische Programmierung mit Python (6 ECTS-Credits)
• Statistical Literacy (6 ECTS-Credits)
• Mathematische Grundlagen des Statistischen Lernens (6 ECTS-Credits)
• Advanced Topics in Data Analysis I (6 ECTS-Credits)
• Advanced Topics in Data Analysis II (6 ECTS-Credits)

Compulsory module:

• Statistische Analyse unvollständiger Daten (6 ECTS-Credits)

Elective modules:

• Stichprobenverfahren (6 ECTS-Credits)
• Analyse von Zeitreihendaten (6 ECTS-Credits)
• Analyse von Paneldaten (6 ECTS-Credits)
• Small Area-Estimation (6 ECTS-Credits)
• Varianzschätzmethoden (6 ECTS-Credits)

Selection of compulsory elective modules from the following disciplines:

• Political science
• Sociology
• Psychology
• Computer Science / Applied Informatics
• Business informatics
• Business and Human Ressource Education
• Economics
• Business Administration

The decision on the eligibility of a specific module is made by the examination board Survey-Statistik.

• Research project 1 (12 ECTS-Credits)
• Research project2 (18 ECTS-Credits)
• Internship 1 (12 ECTS-Credits)
• Internship 2 (18 ECTS-Credits)
  • The total working time of 480 hours should not be exceeded.
  • Towards the end of an internship or research project, a term paper in the form of an activity report must be completed.

A module can also be completed by participating in a suitable summer school focusing on statistical methods.

The topic of the thesis should be related to at least one of the in-depth module groups in terms of content.

Master's thesis and colloquium (30 ECTS-Credits)