Undergraduate education of 180 credits within life sciences (e.g. biomedicine, biotechnology, medicine, veterinary medicine) including at least 10 credits each of cell biology and biochemistry. In addition, 7.5 credits in genetics at Master's level are required. Proficiency in English equivalent to the general entry requirements for first-cycle (Bachelor's level) studies.
The course utilises current research problems to illustrate different statistical and bioinformatics data analysis methods used for genomics data and their applications in studies of human genetics, model organism biology and natural variation and evolution. Data that are analysed include large-scale genetic polymorphism data from next-generation sequencing and SNP-chip. The course gives insight into the central role of statistical and bioinformatics analysis in current genomics and other '-omics' research and experience in using state-of-the-art methodologies.
