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For more details, including weekly contact hours, teaching methods and assessment, please see the module catalogue. The modules are examples from previous academic years and may be subject to change before you start your course.

• Compulsory

  • Artificial Intelligence Practice: practical design and implementation of artificial intelligence (AI), covering techniques in the areas of AI reasoning, planning, doing and learning. 
  • Artificial Intelligence Principles: foundational knowledge of artificial intelligence (AI) with an overview of AI and its philosophy.
  • 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.

  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.

  Students choose two or three optional modules. In the 'Additional optional' lists, students can only take up to two of the modules in each list.

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

  • Critical Systems Engineering
  • Data Ethics and Privacy
  • Data-Intensive Systems
  • 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 Engineering Practice
  • Software Engineering Principles
  • User-Centred Interaction Design

  Optional modules are subject to change each year and require a minimum number of participants to be offered; some may only allow limited numbers of students (see the University's position on curriculum development).

• 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
  • Distributed Systems
  • Logic and Software Verification
  • Programming Language Design and Implementation
  • Signal Processing: Sound, Image, Video
  • Video Games

  Students may take up to two of the following:

  • Database Management Systems
  • Information Security Management
  • Web Technologies

  Optional modules are subject to change each year and require a minimum number of participants to be offered; some may only allow limited numbers of students (see the University's position on curriculum development).

• 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 (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.