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Signal Processing and Communications at The University of Edinburgh - UCAS

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Course summary

Signal processing and communications provide the theoretical foundations for any application which generates, processes, transmits or stores any type of information. They underpin many of the technological advancements which are currently driving rapid change in industry, such as data science, deep learning, and the Internet of Things. 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
  • numerical Bayesian methods.
You will gain an understanding of the theoretical foundations of these 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. Who this programme is for Our programme is suitable for graduates who wish to develop specialist knowledge and skills relevant to industries where signal processing, machine learning, and digital communications are integral. It is also suitable as advanced study in preparation for a PhD in the field, and as a graduate, you could have the opportunity to obtain a scholarship to continue your studies with us. Why study in Edinburgh?
  • Participate in cutting-edge research projects supervised by world-leading academics at a top global institution
  • Access dedicated high-performance computational resources to train machine and deep learning models as part of the MSc dissertation
  • Obtain a solid foundation in new advances in digital communications, signal processing, and machine learning and explore applications in cutting-edge vibrant industries
  • Have the opportunity to obtain a scholarship to continue your studies for PhD in digital communications, signal processing or machine learning at the School of Engineering.
How will I learn? You will receive lectures, coursework and practical exercises to deepen your knowledge and you will have opportunities to:
  • learn from our internationally leading researchers whose research informs our teaching
  • hone your programming skills
  • access dedicated high-performance GPU computing facilities for your MSc project
  • engage with the Institute for Digital Communications, often in collaboration with industrial partners.

Modules

See our website for detailed programme information.


Entry requirements

Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on our website. You will also need to meet the University’s language requirements.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Tuition fees vary between degree programmes. Find the specific fees for your chosen programme on our website.
Signal Processing and Communications at The University of Edinburgh - UCAS