Biometrics / Biostatistics (advanced)

The advanced degree programme builds on the knowledge gained in the initial course of study and, where applicable, on existing professional experience. Students usually choose a specific area of specialisation.

This may involve, for example, measurement methods, data analysis or practical applications.

On completion of the programme, graduates obtain a second fully recognised academic degree.

Compulsory modules (for example):

• Biometrics: statistical methods for analysing biological and medical data
• Data management and handling of study datasets
• Epidemiology and study design in population-based research
• Medicine: methods of clinical pharmacology
• Statistical methods: linear models
• Statistical methods: survival analysis
• Studies: ethical, regulatory and legal requirements
• Studies: planning and evaluation of clinical trials

Elective modules (for example):

• Diagnostic studies
• Evidence-based medicine
• Molecular medicine
• Multiplicity and multiple testing
• Preclinical studies
• Advanced topics in biometrics

Practical components of the programme:

Depending on the university, students complete internships, practical modules or a practical semester, for example with service providers and contract research organisations conducting clinical studies.