MSc-Postgraduate Diploma in Advanced Computational Methods
ObjectivesThe field of algorithms is today an extremely important enabling technology. Web search-engines, routing in the internet, genome analysis, cryptography and image analysis are just a few examples of applications that depend critically on suitable choices of algorithms and data structures. The focus of this MSc is on the design, analysis and engineering of algorithms, covering their use for modelling real-world problems.
Entry requirementsEntry requirements Normally at least a good second class honours BSc degree or qualification of equivalent standard recognised by the University in a subject with a substantial element of Computing. Applications are treated on an individual basis, however, and so alternative qualifications may be considered, especially in the case of candidates with relevant work experience.
Academic titleMSc/Postgraduate Diploma in Advanced Computational Methods
Course descriptionCourse modules
Each specialist course consists of six core modules and two option modules. For the MSc there is also a project. All courses include the core module ‘Personal and Group Skills’.
Core modules
-Algorithms for Bioinformatics
-C++ Programming and Advanced Algorithm Design
-Discrete Event Systems
-Domain Specific Languages
-Game Theory in Computer Science
-Networking and Distributed Computing
Optional modules are chosen from the following list.
Optional modules
-Advanced System Design
-Advanced Web Technologies
-Algorithms for Bioinformatics
-C++ Programming and Advanced Algorithm Design
-Discrete Event Systems
-Domain Specific Languages
-Game Theory in Computer Science
-Generative Development
-Networking and Distributed Computing
-Semantic Web
-Service-Oriented Architectures
-Software Process Engineering
-Software Reliability
-System Re-engineering
-Analysis and Design of Algorithms
-Applied Numerical Mathematics
-Communication and Concurrency
-Compression Methods for Multimedia
-Cryptography and Information Security
-Distribution Systems and Applications
-Financial Mathematics
-Formal Software Specification
-Operations Research
-Programming Secure and Distributed Systems
-Software Measurement and Quality Assurance
-Wavelets and Signal Processing
-Web Technologies
Teaching and assessment methods
Teaching is by a variety of methods including lectures, seminars, selfpaced learning and practicals. Assessment of taught modules is by coursework and examination. Coursework consists of a mixture of computer-based practicals, essays and small group projects. The compulsory Personal and Group Skills module combines attendance of seminars, group discussions and collective essay writing on topics selected for the seminars, as well as attendance at a series of workshops on transferable skills and career planning. The project is assessed separatel