58³Ô¹Ï

Course information may change. Module information and course content, teaching and assessment may change each year and after you have accepted your offer to study at the University of 58³Ô¹Ï. We display the most up-to-date information possible, but this could be from a previous academic year. For the latest module information, see the module catalogue.

• Compulsory

  • Object-Oriented Modelling, Design and Programming: introduces and reinforces object-oriented modelling, design and implementation to provide a common basis of skills, allowing students to complete programming assignments within other MSc modules. The module assumes a substantial amount of prior programming experience equivalent to having completed an undergraduate degree in Computer Science.
  • Symbolic Artificial Intelligence: gives an overview of traditional AI methods and introduces the philosophy and history of AI. It covers the main classical approaches to AI: logical reasoning, search algorithms, knowledge representation and modelling, and formal languages.
  • Uncertainty in Artificial Intelligence: covers reasoning and decision making in the presence of uncertainty and introduces probabilities and probabilistic reasoning, approximate inference (Monte Carlo methods), Bayesian Networks and different types of Markov models. Students will learn the relevant theoretical concepts and gain practical experience in developing solutions to real problems.

  Students should take at least one of:

  • Constraint Programming: introduces constraint-based reasoning as a powerful mechanism for knowledge representation and inference.
  • Language and Computation: covers the major aspects of natural language processing and speech understanding.
  • Machine Learning: provides a foundation in the theory behind machine learning and enables students to apply machine learning in practice to solve real-world problems.

• Optional

  The following modules are optional for Computer Science programmes. Not all combinations of modules will be available for all programmes, and some modules are subject to pre-requisites being satisfied.

  Here is a sample of optional modules that may be offered:

  • Critical Systems Engineering
  • Data Ethics and Privacy
  • Data-Intensive Systems
  • Fundamentals of Software Engineering
  • Human Computer Interaction Principles and Methods
  • Information Visualisation
  • Interactive Software and Hardware
  • Knowledge Discovery and Datamining
  • Principles of Computer Communication Systems
  • Software Architecture and Design
  • Software Product and Project Management
  • Software Quality
  • User-Centred Interaction Design
  • Web Technologies

  Optional modules are subject to change each year and require a minimum number of participants to be offered. Some modules may only allow limited numbers of students. Read the University's position on curriculum development for more information.

• Additional optional

  Students may take up to two of the following:

  • Advanced Communication Networks and Systems
  • Computer Architecture
  • Computer Graphics
  • Computer Security
  • Concurrency and Multi-Core Architectures
  • Databases
  • Distributed Systems
  • Logic and Software Verification
  • Programming Language Design and Implementation
  • Signal Processing: Sound, Image, Video
  • Video Games

• Dissertation project

  During the second semester, students work with staff to define and agree upon a topic for the extended project, which they will work on during the final three months of the course, and which finishes in a 15,000-word dissertation. Dissertation projects may be group-based or completed individually, though students are assessed individually in either case.

  The dissertation typically comprises:

  • a review of related work
  • the extension of existing ideas or the development of new ideas
  • software implementation and testing
  • analysis and evaluation

  Each project is supervised by one or two members of staff, typically through regular meetings and reviews of software and dissertation drafts.