Teaching is based on the most recent research, using mathematical background, and forms a solid basis for PhD studies. Teachging and research is based both on classical statistics and Bayesian approaches.
Biometry and bioinformatics constitute quantitative methodologies for life sciences, covering a wide spectrum of topics ranging from problems at molecular level to populations and evolution, gene mapping and epidemiology of diseases, systems and molecular biology and phylogenetics.
Time series analysis and econometrics focus on theoretical and applied aspects of nonlinear and nonstationary trending time series, both univariate and multivariate. Economics is an important, but not the only, application area of interest.
More information about teaching curriculums are given in web pages.
120 ECTS credits
When applying for a Master's Degree studies in statistics you can choose from the following specialisations: