Statistics and Statistical Data Mining 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).
Artificial Intelligence This module aims to introduce symbolic and agent-based approaches to artificial intelligence (credit bearing).
Big Data Analysis This module covers the topic of Big Data which is a key element of contemporary applications of data science (credit bearing).
Data Science Research Topics This module introduces you to research topics related to data science (credit bearing).
Data Visualisation This module aims to equip you with a data visualisation skillset (credit bearing).
Natural Language Processing 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 This module introduces students to the theory and techniques of graph analysis (credit bearing).
R for Data Science This module provides you with a wide range of applied data analysis techniques in R (credit bearing).
Blockchain Programming This module will provide a practical and theoretical knowledge of how blockchains work (credit bearing).
Financial Data Modelling This module aims to provide you with the ability to analyse financial, time series data using machine learning techniques (credit bearing).
Financial markets This module gives you the mathematical tools to analyse modern financial markets, helping you develop strategies for market participants (credit bearing).
