Course overview
In 2026, the course focuses on Data Science for Molecular Biology and Evolution. It covers a range of statistical and machine learning techniques for the analysis of genomics and other biological data. Topics include exploratory data analysis of high-dimensional genomics datasets; stochastic modelling and inference methods applied to epidemiology, immunology, and evolutionary biology; and recent advances in the application of AI to genomics data analysis.
Course learning outcomes
- Apply research skills to gain new knowledge in a topic of data science
- Demonstrate knowledge of advanced concepts, theorems and techniques of data science, applied statistics or analysis
- Apply these mathematical, computational and statistical techniques to real-world situations
- Communicate effectively to clearly describe the process and/or results