The MSc in Communications Engineering is a one year full-time taught course which makes extensive use of the knowledge and expertise from our well established Communication Technologies Research Group.
It is intended to provide students with a good understanding of the techniques and issues in modern communications systems, with an emphasis on wireless and Internet communications. It provides students with: -A balanced picture of modern communications technology and networks -A sound theoretical and practical knowledge of radio communication techniques, signal processing, network protocols, and the design and optimisation of communication networks -The ability to learn new techniques as they are developed -Experience of the use of industry-standard tools to make them attractive candidates for employers throughout the field of modern communications
The course aims to provide a broad-based introduction to modern communications and to provide a solid grounding in the theory and techniques suitable for students wishing to pursue a career in electronic communications.
All postgraduate students have access to high performance computer workstations with full network connectivity within the department, as well as to the large number of other computing rooms available around the campus. Dependent on their project, students might also use some of the department's other facilities, including NAMAS-accredited EMC measurement facilities, well-equipped music and media technology suites, electric measurement facilities up to 40 GHz, anechoic chambers, and specialised software for FPGA design, and DSP workstations.
Students on the MSc Communications Engineering also have use of the MSc Project room which provides computing equipment, project facilities and study space.
Applicants are normally expected to hold (or expected to gain) the equivalent of a 2:1 honours degree or above from a university recognised by the University of York. This degree should be either in electronics, or other engineering or computing courses with a significant mathematics and signal processing content. We are willing to consider applications from students with lower qualifications, particularly when the student has high marks in relevant modules and/or appropriate industrial experience.
Recipient: University of York
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