modules

*** This module is a “professional” version of the similar module ECMM444 . It is intended to be taught in a short-fat format based around 3-day teaching blocks, as part of the MSc Data Science (Professional) programme. ***

Data science depends on a solid grounding in mathematics and programming. In this module, you will learn essential mathematical techniques and programming skills specific to data analysis, including how to apply the mathematical techniques you have learned as part of computational data analysis procedures. Other computational methods with direct relevance to data science and processing of large datasets will also be included, such as data analysis packages for Python. Overall this module will ensure you have the core skills and background knowledge that underpin many central topics in data science, including machine learning, statistical modelling, network analysis and computer vision.

Pre-requisite modules: ECMM455 Introduction to Data Science.

Corequisite modules: None

This module is a core module for MSc Data Science students

_{Please note that all modules are subject to change, please get in touch if you have any questions about this module.}