Designed to prepare you to interact with the world’s most advanced biological and clinical datasets - this programme will prepare you for careers, or further graduate work, in the omics-enabled biosciences. The future of biology is bioinformatics – computational analysis procedures that leverage state-of-the-art statistics and machine learning to gain insight into systems of exquisite complexity. We have entered an era of unprecedented expansion in the biological sciences, and our data now grows exponentially faster than Moore’s law. The biological sciences have been transformed by the advent of omics. Enabled by revolutionary advances in molecular sequencing and mass spectrometry, it is now possible to sequence a genome in six hours, simultaneously assess the expression level of every gene in a genome, quantify the abundance of proteins and metabolites, and determine the epigenetic and regulatory landscape of individual cells. Hypotheses are generated through the integrative analysis of enormous datasets, and tested in high-throughput with third-generation genome-engineering technologies, including CRISPR. Biology is now driven by data. This course is composed of five taught modules, one group project, and one independent project. The taught modules provide you with foundational knowledge and skills in statistics, computer programming, and molecular biology, and then exploit this skillset to help you to understand and participate in the ongoing revolution in biological data science. The course begins with a fast-paced introduction to essential capabilities. Through individualised and student-centered teaching, as well as heterogeneous group work, it will prepare wet-bench biologists and clinicians interested in data analysis, as well as statisticians or computer scientists wishing to work in biology for studies in modern bioinformatics. You will then be introduced to the sequencing modalities that have reduced the cost of obtaining the human genome from over a billion pounds to less than a thousand dollars, and the many applications in the biomedical and environmental sciences enabled by these technologies. Beyond DNA and RNA sequencing, you will learn how mass spectrometry and nuclear magnetic resonance spectroscopy have opened protein sequencing and metabolomics – the study of all small molecules, or metabolites present in a system. You will learn how to integrate these datatypes with high-content imaging to map molecular changes onto four-dimensional representations of complex systems, including the human nervous system and fresh-water ecologies.