Advanced Computer Science MSc

You will study 180 credits in total during your Advanced Computer Science MSc. A standard module is typically worth 15 credits and the research project is worth 60 credits. These are the modules relating to this programme of study for academic year 2020/21. If you are starting in September 2021, these will give you a flavour of the modules you are likely to study. All modules are subject to change.

Compulsory modules

MSc Project - 60 credits
You will undertake a research project during the summer months.

Recent examples include:

  • iPad interaction for wall-sized displays
  • Modelling the effects of feature-based attention in the visual cortex
  • Energy-efficient cloud computing.

Optional modules include:

Big Data Systems - 15 credits
The aim of the module is for students to develop a practical understanding of methods, techniques and architectures needed to build big data systems required, so that knowledge may be extracted from large heterogeneous data sets.

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.

Animation and simulation - 15 credits
Building on the fundamentals of rendering covered in COMP5812M, this module covers motion in virtual environments, including animation, simulation, and specialised rendering effects, based initially on Parent, Computer Animation (3d ed).

Knowledge Representation and Reasoning - 15 credits
Analysing descriptions of complex real world scenarios in terms of formal representation languages. Understanding automated reasoning and ontology as well as their applications. 

Data Mining and Text Analytics - 15 credits
Understand and use algorithms and resources for implementing .and evaluating text mining and analytics systems. Develop solutions using open-source and commercial toolkits. Consider the applications of data mining and text analytics through case studies in information retrieval and extraction.

Foundations of Modelling and Rendering - 15 credits

This module builds a solid foundation of understanding for the physics, mathematics and computation underlying all computer graphics. Delving deeper than a first undergraduate module in 3D graphics, one goal is to understand high-quality rendering through software raytracing as a preliminary to hardware accelerated approximation of high-quality visual effects.This will be complemented by solid coverage of the mathematics necessary for full comprehension and exploitation of accelerated graphics hardware.

Machine Learning - 15 credits
This module covers topics including neural networks, decision trees, support vector machines, Bayesian learning, instance-based learning, linear regression, clustering, reinforcement learning, deep learning and methods for evaluating performance.

The full list of module information can be read in the course catalogue.