MSc-Postgraduate Diploma in Advanced Computer Science
ObjectivesThis MSc is designed for students who wish to supplement their education in a specific set of advanced topics and cutting-edge technologies that they require for their professional lives, or to pursue their studies further to a PhD on a specific topic. It offers a broad menu of modules from which students can construct their own pathway with the advice and assistance of a member of staff.
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 Computer Science
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’. Students on the Advanced Computer Science course can compose their own pathway but can at most take two of the modules indicated with a “*”.
Option modules
-Advanced System Design
-Advanced Web Technologies
-Algorithms for Bioinformatics
-C++ Programming and Advanced Algorithm Design
-Discrete Event Systems
-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 separately