Digital signal processing (DSP) is at the core of the communications revolution. Research is constantly being carried out to develop new DSP algorithms, allowing mobile broadband services, ‘Internet of Things’ applications and other technologies to be delivered to a growing number of users. Statistical signal processing is also fundamental to all aspects of the parallel robotics revolution, including sensing, localisation and the now ubiquitous discipline of machine learning.
This programme will give you a thorough introduction to the communications landscape, giving you an...
Digital signal processing (DSP) is at the core of the communications revolution. Research is constantly being carried out to develop new DSP algorithms, allowing mobile broadband services, ‘Internet of Things’ applications and other technologies to be delivered to a growing number of users. Statistical signal processing is also fundamental to all aspects of the parallel robotics revolution, including sensing, localisation and the now ubiquitous discipline of machine learning.<br/><br/>This programme will give you a thorough introduction to the communications landscape, giving you an in-depth understanding of DSP, wireless communications, optical communications networks and the complex issues around network security. You can also study specialist modules such as embedded microprocessors or FPGA System-on-Chip.<br/><br/>The School of Electronic and Electrical Engineering at Leeds is an exciting and stimulating environment. It’s home to specialist teaching facilities and a wealth of leading researchers working on real-world issues and contributing to global change.<br/><br/>This means youll be learning the most up-to-date practices, preparing you with the specialist skill set and topical knowledge you’ll need to pursue a rewarding career in this field.<br/><br/>**Why study at Leeds:**<br/>- This Masters degree is accredited by the Institution of Engineering and Technology.<br/><br/><br/>- Our globally-renowned research conducted right here on campus feeds directly into the course, shaping your learning with the latest thinking in areas such as communications networks and systems, smart energy systems and wireless communications.<br/><br/><br/>- Advance your knowledge and skills in critical topics like modern industry practice, digital signal processing and programming.<br/><br/><br/>- Build industry experience by conducting your own individual project which focuses on a real-world topic of your choice, giving you the chance to make your own contribution to science and develop professional skills in research and critical thinking.<br/><br/><br/>- Access specialist and research-grade facilities including high-quality test and measurement equipment.<br/><br/><br/>- Experience expert theoretical and practical teaching delivered by a programme team made up of researchers and academics who specialise in a wide range of communications and electronic topics.<br/><br/><br/>- Enjoy small groups that are used to support the teaching, giving you access to regular feedback and help with solving problems you may have with a particular topic directly from the academic staff.<br/><br/><br/>- Make the most of your time at Leeds by joining our student society ShockSoc where you can meet more of your peers, attend high-quality technical visits, enjoy social events and get the chance to put theory into practice by participating in our own Robot Fighting League (RFL). Watch our RFL video to find out more.<br/>
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Full-time
Duration
12 Months
Start Date
09/2025
Campus
University of Leeds
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
L23
Points of Entry
Unknown
Take the next steps at University of Leeds with our postgraduate course search.