modules

Classical statistical methods were developed at a time when data collection was expensive. Recent advances in science and computing technology has resulted in an explosion of available data, in fields as diverse as medicine, finance, marketing and biology. This has led to the development of new statistical methodologies, aimed at meeting the challenges associated with processing and understanding “big data”.

In this problem-solving oriented module, you will develop hands-on skills and techniques needed to turn complex data sets into useful information, implementing techniques developed in data mining and machine learning, and learning how to apply these in various data analytics packages and their open source versions.

The module spans over two terms. In the first term, it will develop basic understanding of data analytics and encourage group works, followed by more involved big data problems in the second term.

Prerequisite modules: “Scientific Computing 1" (ECM1914 ) and “Statistical Modelling” (ECM2907 ) or equivalent.

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