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Signal Processing and Communications MSc

Signal Processing and Communications MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP-26

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Information And Communications Technology (General)

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

This course deals with adaptive filters and related linear estimation techniques such as the Wiener finite impulse response filter and Kalman filters. The concepts of training and convergence are introduced and the trade-off between performance and complexity is considered. The application of these techniques to problems in equalization, coding, spectral analysis and detection is examined.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£15,200

International fees
Course fees for EU and international students

For this course (per year)

£37,300

Entry requirements

A UK 2:1 honours degree, or its international equivalent, typically in electrical and/or electronics engineering with a specialisation in signal processing and/or communications.

We will also consider your application if you have a background in a related field, such as computer science, machine learning, physics or mathematics.

Entry into this programme is competitive. A typical offer will normally require a UK first class honours degree, or equivalent, and high grades in fundamentals, such as mathematics, signals and systems, probability and statistics, and communications and signal processing are required. In addition, some of the courses and/or your final MSc project may require programming or learning a new programming language. Therefore, you will normally need to demonstrate practical knowledge and/or experience in a high level programming language.