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Master Program in Biostatistics

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Master Program in Biostatistics

Biostatistics is the science of analyzing and interpreting biomedical data. Scientific challenges from clinical and biological research require the development and competent application of novel statistical methodology. Currently such challenges emerge, for example, in personalized and evidence-based medicine, in infectious disease and environmental epidemiology, and in the rapidly expanding fields of molecular biology, e.g. genomics, proteomics, epigenomics.

The Master Program in Biostatistics leads to a so called "specialized" master, implying that it is a useful and direct continuation of a bachelor degree in all fields that include quantitative aspects. It is based on the cooperation between the Institute of Mathematics and the Department of Biostatistics of the Epidemiology, Biostatistics and Prevention Institute of the University of Zurich (UZH) and offers the only - to date - specialized program for the training of biostatisticians in Switzerland.

Carreer outlooks for biostatisticians are generally excellent. Graduates of the program will be highly qualified for a position in biomedical and epidemiological research institutes and in the pharmaceutical industry. See Links for job offers.

Excellent graduates can continue their studies within the PhD Program in Epidemiology and Biostatistics, which is part of the Life Science Zurich Graduate School.

Applications for Fall 2018

Applications for Fall 2018 are due February 15 2018, see Admission Procedure for details.

 

Note: spring enrollment is possible but not optimal, please contact the coordinator for more information.

 

Interested students enrolled at UZH please contact the coordinator regardless of deadlines.

News

September 2017:1st Zurich-Ulm biostatistics summer school: Advanced statistical methods in clinical epidemiology

Student Profiles

Laura Barras, Master of Science in Medical Biology (University of Lausanne), Master student in Biostatistics

I was first introduced to statistics during my studies in biology. I remember being fascinated by this ability to extract information from the data and conclude whether the experiment was a success or not. Later, I had the chance to carry out a randomised clinical trial aiming to find new biomarkers of autologous blood transfusion. I came to realize that the most crucial part of the whole study was the analysis of the results and I enjoyed this part most of all.  [...]

Results of November 2016 student opinion survey