Mathematics and Statistics for Data Science This module covers the key statistical concepts and techniques you will need to interpret the results you might generate through data analysis (credit bearing).
Machine Learning This module provides a broad view of machine learning and statistical pattern recognition (credit bearing).
Data Programming in Python This module provides you with the programming skills you will need to carry out the programming tasks you will encounter in the other modules (credit bearing).
Financial Data Modelling (Not yet available for study) This module aims to provide you with the ability to analyse financial, time series data using machine learning techniques (credit bearing).
Big Data Analysis (Available October 2020) This module covers the topic of Big Data which is a key element of contemporary applications of data science (credit bearing).
Blockchain Programming (Not yet available for study) This module will provide a practical and theoretical knowledge of how blockchains work (credit bearing).
Mathematics of Financial Markets (Not yet available for study) This module gives you the mathematical tools to analyse modern financial markets, helping you develop strategies for market participants (credit bearing).
Data Science Research Topics (Available October 2020) This module introduces you to research topics related to data science (credit bearing).
Data Visualisation (Available October 2020) This module aims to equip you with a data visualisation skillset (credit bearing).
Natural Language Processing (Not yet available for study) This module provides you with a grounding in both rule-based and statistical approaches to Natural Language Processing (credit bearing).
Social Networks and Graph Analysis (Not yet available for study) This module introduces students to the theory and techniques of graph analysis (credit bearing).
R for Data Science (Not yet available for study) This module provides you with a wide range of applied data analysis techniques in R (credit bearing).
