Computer Science
(MComp) Computer Science
Entry for 2025
FHEQ level
This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.
Course learning outcomes
Demonstrate knowledge and understanding of the fundamental principles of computer science
Demonstrate knowledge and understanding of how these principles, logical concepts, data structures, algorithms and design approaches such as object orientation can be used to develop software-based solutions
Demonstrate knowledge and understanding of the professional and ethical responsibilities of computer scientists
Apply and implement appropriate theories and techniques to the design and development of computer systems such as information systems, distributed systems, programming language implementations,
Use appropriate criteria and tools for the planning, development, documentation, testing and evaluation of software systems
Use appropriate presentation skills
Specify, design, construct, test and evaluate computer-based systems using appropriate tools
Recognise sources of risk in computer-based systems
Recognise the capabilities and the limitations of computer-based solutions
Demonstrate an ability to undertake the management of complex software engineering projects, choosing and combining appropriate techniques from the range of current professional practice based on an informed critique.
Demonstrate an ability to undertake self-directed software engineering of complex systems, in particular through proposing and evaluating novel solutions to complex requirements.
Demonstrate a systematic and critical understanding of issues such as distributed systems, scalability, reliability, mobile devices, and multi-core systems, using appropriate models and tools,
Be able to clearly communicate challenges and risks, and the evaluation and choice amongst alternative solutions to these challenges, to both specialist and non-specialist audiences.
Demonstrate an working knowledge of scientific techniques in computer science, and design evaluations of innovative technologies using appropriate choices from these approaches.
Demonstrate a systematic understanding of the relevant research literature to relevant topics, e.g. distributed systems, scalability, reliability, mobile devices, and multi-core systems, and the ability to further research, analyse and critique the ideas presented.
For information on the composition of this course please see either the on-line Undergraduate prospectus for undergraduate related courses or the on-line Postgraduate prospectus for postgraduate related courses.
More detailed information on the course structure and modules within this degree will be available on this page shortly.
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.