The following modules are available in 2022/23 for the Advanced Computer Science (Data Analytics) MSc and are examples of the modules you are likely to study. All Modules are subject to change. You will study 180 credits in total.
Recent projects include:
- Text mining of e-health patient records
- Java-based visualisation on ultra-high resolution displays
- Data mining of sports performance data.
Machine learning - 15 credits
Topics selected from: Decision trees, Bayesian networks, instance-based learning, kernel machines, clustering, reinforcement learning inductive logic programming, artificial neural networks, deep learning.
Data Science - 15 credits
The aim of the module is for students to understand methods of analysis that allow people to gain insights from complex data. The module covers the theoretical basis of a variety of approaches, placed into a practical context using different application domains.
Optional modules include:
Knowledge Representation and Reasoning - 15 credits
The principal representations and algorithms used in machine learning and the techniques used to evaluate their performance. You will implement a challenging learning system using a publicly available pack of standard algorithms.
Data Mining and Text Analytics - 15 credits
Introduction to data and text theory and terminology. Tools and techniques for data-mining and text processing, focusing on applied and corpus-based problems such as data classification by Machine Learning classifiers, collocation and co-occurrence discovery and text analytics. Open-source and commercial text mining and text analytics toolkits. Web-based text analytics.