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  • Study Type

    Full time available

  • Subject Areas

    Engineering

  • Start Date

    September

  • Course Duration

    12 months

  • Course Type

    MSc

  • Course Fees

    website

  • Last Updated

    09 August 2017

Course content

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.

This programme will give you a thorough understanding of different aspects of DSP and as it relates to the communications landscape, as well as specialist knowledge from your choice of optional modules.

Our DSP lab will give you hands-on experience using the DSP technology that can be found in computers, cellular phones, GPS and other technologies, and you’ll learn from expert researchers at the forefront of their fields.

You’ll also benefit from specialist industrial lectures, allowing you to relate the theoretical and design aspects of communications and signal processing to practical problems and real-world constraints.

School Facilities

Our School is an exciting and stimulating environment where you’ll learn from leading researchers in specialist facilities. These include our Keysight Technologies wireless communications lab, as well as labs for embedded systems, power electronics and drives, ultrasound and bioelectronics.

There’s also a Terahertz photonics lab, class 100 semiconductor cleanroom, traffic generators and analysers, FPGA development tools, sensor network test beds. We have facilities for electron-beam lithography and ceramic circuit fabrication – and a III-V semiconductor molecular beam epitaxy facility. The Faculty is also home to the £4.3 million EPSRC National Facility for Innovative Robotic Systems, set to make us a world leader in robot design and construction.

Course content

Throughout the year you’ll study a set of core modules that give you an in-depth understanding of DSP, wireless communications, different optical communications networks and the complex issues around network security. If you don’t have any experience of c-programming you’ll also take a module that develops these skills; alternatively, you can choose between this module and another on software development.

You’ll also select optional modules that are tailored to your own interests or career plans – you could focus on embedded microprocessor systems, high-speed internet architecture or other topics. To build your understanding of the global electronics industry, you’ll also complete a dissertation. This could take the form of a business, manufacturing or outsourcing plan, a proposal for research funding or an essay on a specific aspect of the industry.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Communications and Signal Processing module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • Industry Dissertation 15 credits
  • Wireless Communications Systems Design 15 credits
  • Digital Signal Processing for Communications 15 credits
  • Digital Wireless Communications Principles 15 credits
  • Optical Communications Networks 15 credits
  • Data Communications and Network Security 15 credits
  • Main Project 45 credits

Optional modules

  • Cellular Mobile Communication Systems 15 credits
  • High Speed Internet Architecture 15 credits
  • FPGA Design for System-on-Chip 15 credits
  • Embedded Microprocessor System Design 15 credits
  • Programming 15 credits
  • Software Development 15 credits

For more information on typical modules, read Communications and Signal Processing MSc(Eng) in the course catalogue

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings. Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The research project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects on the MSc in Communications and Signal Processing include:

  • Powerline communications for smart grid
  • Quantum key distribution over passive optical networks
  • Physical layer security using artificial noise
  • An energy-saving robot mobility diversity algorithm for wireless communications
  • Analysis and processing of physiological data from a smart watch to monitor health
  • Evaluation of wireless sensor networks for civil engineering applications
  • Cooperative wireless communications over fading channels
  • Carrier frequency offset compensation in OFDM for IEEE 802.11
  • Underlay spectrum access strategy in cognitive radio
  • Spectrum sensing for cognitive radio

Career opportunities

On completing this course, you will have obtained the skills that will lead to employment in any area of the communications/signal processing industry including optical networking, DSP design and implementation, cellular mobile, RF planning, broadband systems and general communications research and development.

Graduates from our School have gone on to work for organisations such as the National Grid, Ericsson Telecommunications, Cisco Systems, AECOM, Deep Sea Electronics, Huawei, Intel Corp., the Technology and Strategy Board and many more.

This course is also an excellent base from which to pursue a PhD and possibly an academic career.


Visit the Communications and Signal Processing MSc page on the University of Leeds website for more details!

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