Sensitivity analysis is an important tool in evaluating model behaviour and assessing which parameters are significant, as well as the interactions between parameters. There are a number of methods currently available, including Sobol, Morris, FAST, PAWN, DELSA and VARS. Model emulation techniques (e.g. polynomial chaos expansion, active subspace) can also aid in the analysis of model behaviour. This project will investigate the efficiency of some of these methods, the information they yield, and what they don't tell us about a model's behaviour.