This course provides a thorough, methodical and wide-ranging education in digital signal and image processing. The Degree course offers both core taught modules and a substantial individual research project.
Teaching and learning
The course contains both compulsory core taught modules and a substantial individual research project. Four taught modules are delivered in the first semester from September to January, and four taught modules are delivered in the second semester from February to June. Each taught unit is assessed by coursework or laboratory report, with written examinations in January and June. You will conduct your dissertation project work during summer and submit your final dissertation in September.
Course unit details
Typical course units include: -Signals and data capture engineering -Digital image processing -Digital Communications engineering -Sensing and transduction -Digital image engineering -Tomography engineering and applications
Digital signals are part of almost every aspect of 21st technology. If you take this course, you will become expert in this area and expose yourself to a world of opportunity respecting careers. You will, for example, be able to perform biomedical signal processing, audio/visual/multimedia engineering, digital waveform synthesis and medical, industrial and military image processing. You will be able to work in the fields of imaging, medical physics, aerospace, telecommunications systems development, mechatronics, robotics, remote sensing and nondestructive testing. Your skills will be highly sought after in organisations that develop systems for these and many related state-of the art disciplines.
This course will not only make you very employable; it will be a very fulfilling and enriching experience.
The standard academic entry requirements for a masters course will be an upper second class UK honours degree, or international equivalent, in any of the following: electrical and electronic engineering; engineering; physics; computer systems engineering or equivalent scientific discipline which includes a significant mathematical content.
Recipient: University of Manchester
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