MSc Signal Processing & Communications

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University of Edinburgh

Comments about MSc Signal Processing & Communications - At the institution - Edinburgh - Scotland

• Objectives
  The Diploma and MSc in Signal processing with communications is designed to provide graduates and working professionals with a broad training in signal processing and communications.
• Entry requirements
  Entry Requirements Candidates must hold a UK first class honours degree, or its equivalent if outside the UK, typically in electrical engineering with a specialisation in signal processing and/or communications. Applications from related fields such as computer science or control will also be considered. Entry into this high level programme is competitive and high grades are expected in fundamentals such as mathematics, signals & systems, probability & statistics and communications & signal processing.
• Academic title
  MSc Signal Processing & Communications
• Course description
  Programme
  
  The diploma and MSc are designed to provide graduates and working professionals with a broad training in signal processing and communications. The taught material includes theoretical foundations as well as advanced topics at the cutting edge of research.
  
  The course will appeal to graduates who wish to pursue a career in a range of industries such as communications, radar, medical imaging and wherever signal processing is applied. It is suitable for recent graduates who wish to develop the specialist knowledge and skills relevant to this industry and is also suitable as advanced study in preparation for research work in an academic or industrial environment or in a specialist consultancy organisation.
  
  Engineers or other professionals wishing to participate in the MSc programme may do so on a part-time basis.
  
  Learning Outcomes
  
  On successful completion of this course students will be able to identify principles of signal processing and communications, elaborate these principles in scientific and technological terms and be able to consider current limits to, and future priorities for, signal processing and communications.
  
  How You Will Be Taught
  
  The MSc is a full-time 12-month modular programme starting in September. In the first two semesters, students study compulsory taught courses which include formal lectures, laboratory demonstrations and practical exercises.
  
  Course Structure and Assessment
  
  The M.Sc. is a twelve month modular programme, split into three equal semesters. In each of the first two semesters, students study taught modules worth 10 or 20 credits each. The programme provides multidisciplinary training by incorporating modules from all of the following areas. :
  
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        Discrete-Time Signal Analysis (10 credits)
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        Digital Communication Fundamentals (10 credits)
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        Statistical Signal Processing (20 credits)
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        Image Processing (10 credits)
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        Signal Processing with MATLAB (10 credits)
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        Adaptive Signal Processing (10 credits)
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        Advanced Digital Communications (20 credits)
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        Array Processing Methods (10 credits)
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        Advanced Concepts in Signal Processing (10 credits)
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        Image Processing with MATLAB (10 credits)
  
  While studying these modules students will also undertake preparatory work for their project. The majority of the project work, worth a further 60 credits, is however conducted in the summer semester, after completion of the taught modules. An MSc project which leads to the dissertation will normally be based upon a real world problem posed by academic staff.
  
  Course Delivery
  
  The course is full-time starting in mid-September. [Exact semester dates can be found in the Postgraduate Prospectus or from the main university web site.] The MSc will last for 12 months. Staff-student discussion on progress and problems will take place twice a semester. Practising Engineers or other professionals may take the course part time over a period of three years.
  
  Application Deadlines
  
  We will consider applications at any time. We will process applications very quickly to ensure that offers can be made for the nearest possible start date (each year in September).

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