MSc Communications and Information Engineering (H641)
The course provides students with comprehensive training in the essential elements of modern communication and information engineering. The information theoretic underpinnings are provided in conjunction with physical layer aspects of both optical and radio transmission, and the signal processing methods. Furthermore, the course covers evolutions in the radio network architecture and deployment. The optional modules are topical and diverse encompassing the design of application specific integrated circuits, micro-electromechanical systems and optical engineering. Cross-discipline options within the Department of Computer Science offer key insights into the approaches to the increasing amount of data being collected in modern society ('big data'). In particular, there is the chance to study digital multimedia storage and communications technologies, data analytics and data mining in terms of algorithms and goals in real-world problems.
To complement the taught modules, students carry out a significant project, which will provide them with the opportunity to put their knowledge into practice. Students will also attend seminars on project planning and management, ethics, health & safety, report writing, library skills and career management, to help prepare them for the demands of the course and for future study or industry.
Graduates will be well equipped for employment in the plethora of branches of the modern information and communication revolution. Recent graduates occupy positions in industries ranging from core network provision through logistics to software support, in addition to opportunities in data communication equipment and services both in the UK and worldwide. The department has strong links with a number of leading telecommunications companies. Moreover, the course is the perfect platform for progression to a research degree.
The course sits firmly in the middle of the area of information and communication technology, providing the both the foundations and application examples drawn from recent research and industrial practice. For example, there is increased focus in industry to leverage the recent explosion in social media data to make better informed decisions on how to invest in engineering infrastructure.
- Advanced Wireless Systems and Networks (ES96T)
- Information Theory and Coding (ES96Y)
- Wireless Communications (ES4D2)
- Optical Communication Systems (ES4C4)
- Signal & Image Processing (ES4C8)
Choose three from the following:
- ASICs, MEMS and Smart Devices (ES434)
- Optical Engineering (ES4C5)
- Multimedia Processing, Communications and Storage (from Computer Science) (CS403)
- Foundations of Data Analytics (from Computer Science) (CS910)
- Data Mining (from Computer Science) (CS909)
Individual research project
The individual research project is an in-depth experimental, theoretical or computational investigation of a topic chosen you in conjunction with your academic supervisor. Typical project titles include:
- Network coding for underwater communications
- Nanoscale communication networks
- Forward Error Correction for Spectrally Sliced Transmission
- Routing Algorithm Design for Mobile Ad Hoc Networks
- Logical Stochastic Resonance
- Design of Radio Devices using Metamaterials
- Nonlinear Effects in Optical Fibre Transmission