Course summary

Big data processing and information retrieval drives some of the world most successful and high-tech businesses; from well-known companies like Google and Twitter, to specialist medical informatics providers and even space exploration. The main theme throughout this course is automatic big data processing and information retrieval through machine learning, neural network and evolutionary computing. We aim to cover how to apply cutting-edge machine learning techniques to analyse big datasets, assess the statistical significance of data mining results and perform advanced data mining tasks. We will introduce you to important frameworks which may include Hadoop Map Reduce, Spark, applications of relational databases and NoSQL databases in combination with easy to use and powerful development tools such as Scala, Python, Matlab and R. We will look at emerging theories, practices, approaches and management of distributed and intelligent computing systems, examining a wide range of case studies to see how applications have been developed and for what purposes, such as steganography detection system for colour stego images. The focus of the MSc Data Science and Computational Intelligence course is on applications of data science methods and tools, combined with computational intelligence techniques for data-driven problem solving including the analysis, interpretation and visualisation of complex data, which is in increasing demand in fields such as marketing, pharmaceutics, finance, transportation, medicine, and management. A unique aspect of this course is the delivery through a wide range of activities and problem based learning in the context of the current research or industry consultancy projects, conducted by the academics responsible for teaching on this course. Please note, staff may be subject to change.