All scientists need to know something about data analysis. This module provides training in statistics, mathematical modelling and careers to students on marine sciences programmes. Most of the first semester will be spent working towards a practical understanding of analysis of variance and regression, which are the two most important statistical methods for data analysis. We will also do a lot of work on how to communicate numerical data using graphs and tables, and how to report statistical methods and results in written form. Most of the second semester will be spent on learning how scientists construct mathematical models of natural processes. In particular, differential equations are the foundation of quantitative theory in most areas of science. We will learn what differential equations are used for, and study the behaviour of key examples of such equations from marine sciences. Throughout the module we will develop coding skills using industry-standard software. We will also learn how the quantitative skills covered in the module relate to careers both in marine sciences and more broadly. We will use a range of assessment methods: a written statistical report that assesses the skills needed to work with scientific data, a group presentation on quantitative skills linked to careers in the field that assesses understanding of the relevance of mathematical modelling to marine sciences, and an in-person exam that assesses whether core skills have been internalised.