Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc: 1 year full-time
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Signal processing and communications provide the theoretical foundations for any application which generates, processes, transmits or stores any type of signal. They underpin many of the technological advancements which are currently driving rapid change in industry, such as the Internet of Things, machine learning and data science.
Our MSc in Signal Processing and Communications will enable you to contribute to the industries and research that will help make our world smarter, healthier, and more sustainable.
You will be immersed in the most recent and exciting developments such as; deep neural networks, compressive sensing, wireless communication theory, and numerical Bayesian methods, and you will gain an understanding of the theoretical foundations of the subjects, as well as recent advanced topics and how they are applied to solve practical situations.
Through the MSc research project, you will demonstrate applications and delve deeper into the underpinning theory by investigating a solution to a real-world signal processing and communication problem.
Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University English Language requirements.
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With our excellent employability record and internationally respected reputation, the University of Edinburgh is a reliable choice for developing your engineering career.
This programme will appeal to graduates who wish to pursue a career in an industry such as:
Recent graduates have taken up roles in major international technological companies immediately after completing our MSc.
Our programme is suitable for graduates who wish to develop the specialist knowledge and skills relevant to this industry and as advanced study in preparation for research work in an academic or industrial environment, or in a specialist consultancy organisation. Some of our graduates have embarked in PhD research in world-leading institutions, either in the UK and abroad.
Students must select 60 credits from the following courses:
Students must select 60 credits from the following courses:
In the summer months (May – August), you will complete your MSc project. Many recent projects use modern machine learning, including deep networks, as a framework for problem-solving. If that is your case, you will have access to dedicated high-performance GPU computing facilities to accelerate the training of your algorithms.
Edinburgh. Extraordinary futures await. The University of Edinburgh is one of the world’s top universities, consistently ranked in the world top 50* ...
Wed 22 May 2024
