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This programme provides graduates and working professionals with a broad training in signal processing and communications. Read more

Programme description

This programme provides graduates and working professionals with a broad training in signal processing and communications. It is suitable for recent graduates who wish to develop the specialist knowledge and skills relevant to this industry and is also suitable as advanced study in preparation for research work in an academic or industrial environment or in a specialist consultancy organisation.

Engineers or other professionals wishing to participate in the MSc programme may do so on a part-time basis.

Our students gain a thorough understanding of theoretical foundations as well as advanced topics at the cutting edge of research in signal processing and communications, including compressive sensing, deep neural networks, wireless communication theory, and numerical Bayesian methods.

The MSc project provides a good opportunity for students to work on state-of-the-art research problems in signal processing and communications.

Programme structure

This programme is run over 12 months, with two semesters of taught courses followed by a research project leading to a masters thesis.

Semester 1 courses
Discrete-Time Signal Analysis
Digital Communication Fundamentals
Probability, Random Variables and Estimation Theory
Statistical Signal Processing
Image Processing
Signal Processing Laboratory
Semester 2 courses
Adaptive Signal Processing
Advanced Coding Techniques
Advanced Wireless Communication
Array Processing Methods
Advanced Concepts in Signal Processing
Pre-dissertation project preparation and report

Career opportunities

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 communications, radar, medical imaging or anywhere else signal processing is applied.

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This course equips you with the theory and practice necessary to begin a career as a design or development engineer in communications and signal processing. Read more

Course Overview

This course equips you with the theory and practice necessary to begin a career as a design or development engineer in communications and signal processing. You will also develop transferable skills in research and knowledge acquisition.

Highlights of the course include: unparalleled coverage of all major disciplines in communications engineering and signal analysis methodology; the comprehensive treatment of advanced communication systems from theoretical and practical approaches; innovative educational techniques designed to equip you with practical knowledge; design skills and research methodologies

On completing the course, many students progress into employment as design and development engineers in telecommunications and digital signal processing areas or onto a higher research degree.

Our Communications and Signal Processing MSc derives its uniqueness from research strengths in communications and digital signal processing in the School of Electrical and Electronic Engineering. All course lecturers have a world-wide reputation for high quality research at the leading edge of the subject. They have many years of experience with industrial projects and in running short courses for industry.

Research projects cover a range of applications in areas of: wireless networks; future generation communication technologies; error control coding; digital signal and image processing; biometrics identification and authentication.

Modules

For detailed module information see http://www.ncl.ac.uk/postgraduate/courses/degrees/communications-signal-processing-msc/#modules

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/communications-signal-processing-msc/#howtoapply

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Signal processing is recognised as a core technology in rapidly growing areas such as sensor networks, medical devices and renewable energy, audio, image and video systems. Read more

Why this course?

Signal processing is recognised as a core technology in rapidly growing areas such as sensor networks, medical devices and renewable energy, audio, image and video systems. It’s the underpinning technology of all communication including the internet, wireless and satellite.

We’ve been carrying out research and development in signal processing for more than 30 years. Many of today’s industry leaders are alumni of the University and this industry awareness and experience underpins this specialised degree.

This MSc aims to address the growing skills shortage in industry of engineers who have an understanding of the complete signal processing design cycle. It’s also essential preparation if you’re considering advanced research in applied signal processing.

See the website https://www.strath.ac.uk/courses/postgraduatetaught/signalprocessing/

What you’ll study

There are two semesters of compulsory and optional classes, followed by a three-month practical research project in a specialist area. There’s the opportunity to carry this out through the department's competitive MSc industrial internships.

The internships are offered in collaboration with selected department industry partners eg ScottishPower, SmarterGridSolutions, SSE. You'll address real-world engineering challenges facing the partner, with site visits, access and provision of relevant technical data and/or facilities provided, along with an industry mentor and academic supervisor.

Facilities

You'll have exclusive access to our extensive computing network and purpose built teaching spaces such as our Hyperspectral Imaging Centre and the DG Smith Radio Frequency laboratory, equipped with the latest technologies.

Accreditation

The course is fully accredited by the professional body, the Institution of Engineering and Technology (IET). This means that you'll meet the educational requirements to become a Chartered Engineer – a must for your future engineering career.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.

To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form. To ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Learning & teaching

We use a blend of teaching and learning methods including interactive lectures, problem-solving tutorials and practical project-based laboratories. Our technical and experimental officers are available to support and guide you on individual subject material.

Each module comprises approximately five hours of direct teaching per week. To enhance your understanding of the technical and theoretical topics covered in these, you're expected to undertake a further five to six hours of self-study, using our web-based virtual learning environment (MyPlace), research journals and library facilities.

The teaching and learning methods used ensure you'll develop not only technical engineering expertise but also communications, project management and leadership skills.

- Industry engagement
Interaction with industry is provided through our internships, teaching seminars and networking events. The department delivers monthly seminars to support students’ learning and career development. Xilinx, Texas Instruments, MathWorks, and Agilent are just a few examples of the industry partners you can engage with during your course.

Assessment

A variety of assessment techniques are used throughout the course. You'll complete at least six modules. Each module has a combination of written assignments, individual and group reports, oral presentations, practical lab work and, where appropriate, an end-of-term exam.

Assessment of the summer research project/internship consists of four elements, with individual criteria:
1. Interim report (10%, 1,500 to 3,000 words) – the purpose of this report is to provide a mechanism for supervisors to provide valuable feedback on the project’s objectives and direction.

2. Poster Presentation (15%) – a vital skill of an engineer is the ability to describe their work to others and respond to requests for information. The poster presentation is designed to give you an opportunity to practise that.

3. Final report (55%) – this assesses the communication of project objectives and context, accuracy and relevant of background material, description of practical work and results, depth and soundness of discussion and conclusions, level of engineering achievement and the quality of the report’s presentation.

4. Conduct (20%) - independent study, project and time management are key features of university learning. The level of your initiative & independent thinking and technical understanding are assessed through project meetings with your supervisor and your written logbooks.

Careers

With Signal Processing being a core technology in high-growth areas such as sensor networks, medical devices, renewable energy and communications, this course enables you to capitalise on job opportunities across all of these sectors, as well as in electronics design, IT, banking, and oil and gas.

Almost all of our graduates secure jobs by the time they have completed their course. They've taken up well-paid professional and technical occupations with multinationals such as Google, Microsoft, Texas Instruments, Motorola Mobility, Intel, as well as Wolfson Microelectronics, Agilent, Freescale and Thales in the vibrant national UK arena.

Find information on Scholarships here http://www.strath.ac.uk/engineering/electronicelectricalengineering/ourscholarships/.

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The MSc in Telecommunications with Digital Signal Processing aims to produce postgraduates with an advanced understanding of communication systems with special emphasis on the application of digital signal processing, which supports and pervades all modern communication systems. Read more
The MSc in Telecommunications with Digital Signal Processing aims to produce postgraduates with an advanced understanding of communication systems with special emphasis on the application of digital signal processing, which supports and pervades all modern communication systems. It makes extensive use of MATLAB and Simulink simulation tools to design digital filters that perform noise reduction, signal shaping and channel modelling. Adaptive filters, matched filters, reception and detection algorithms essential for digital communications are also modelled and tested.

Course structure

Each MSc course consists of three learning modules (40 credits each) plus an individual project (60 credits). Each learning module consists of a short course of lectures and initial hands-on experience. This is followed by a period of independent study supported by a series of tutorials. During this time you complete an Independent Learning Package (ILP). The ILP is matched to the learning outcomes of the module. It can be either a large project or a series of small tasks depending on the needs of each module. Credits for each module are awarded following the submission of a completed ILP and its successful defence in a viva voce examination. This form of assessment develops your communication and personal skills and is highly relevant to the workplace. Overall, each learning module comprises approximately 400 hours of study.

The project counts for one third of the course and involves undertaking a substantial research or product development project. For part-time students, this can be linked to their employment. It is undertaken in two phases. In the first part, the project subject area is researched and a workplan developed. The second part involves the main research and development activity. In all, the project requires approximately 600 hours of work.

Further flexibility is provided within the structure of the courses in that you can study related topic areas by taking modules from other courses as options (pre-requisite knowledge and skills permitting).

Prior to starting your course, you are sent a Course Information and Preparation Pack which provides information to give you a flying start.

MSc Telecommunications Suite of Courses

The MSc Telecommunications has three distinct pathways:
-Digital Signal Processing
-Satellite and Broadband Communications
-Wireless Technologies

The demand for engineers in both wide-area and local-area communication systems is currently flourishing and is expected to grow for the foreseeable future. These three pathways offer both recent engineering graduates and industry-based engineers access to in-depth skills for closely related aspects of the communications discipline.

The course structure is quite flexible, affording industry-based students an opportunity to attend and accumulate module credits over an extended period of time. It also simultaneously serves the full-time student cohort which generally progresses through the MSc pathway in a single calendar year.

The MSc programmes are short course based and feature assessment through sequentially submitted result portfolios for the work packages, ie the ILPs. These are assigned immediately upon each short course module where the students are able to concentrate their study efforts just on the most recently-taught subject material. This greatly promotes efficient focused learning. The individual oral examination administered for each ILP furnishes valuable experience in oral defence, and frees students from written examination burdens.

The technical tasks undertaken in ILPs, along with the required major project, thoroughly exercise the concepts covered in the course modules and give scope for originality and industry-relevant study. Team-working activities encouraged within modules, along with the all-oral individual examination regimen employed in this Telecommunications MSc Suite, have proven solidly beneficial in refining the communication and employability-enhancing skills that are strongly valued by industry.

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Audiovisual experiences are key drivers, not just for entertainment but also for business, security and technology development. Read more
Audiovisual experiences are key drivers, not just for entertainment but also for business, security and technology development. Video accounts for around 80 per cent of all internet traffic and some mobile network operators have predicted that wireless traffic will double every year for the next 10 years - driven primarily by video. Visual information processing also plays a major role underpinning other industries such as healthcare, security, robotics and autonomous systems.

This challenging, one-year taught Master’s degree covers a range of advanced topics drawn from the field of multimedia signal processing and communications. The programme covers the properties and limitations of modern communication channels and networks, alongside the coding and compression methods required for efficient and reliable wired and wireless audio-visual transmission. It provides students with an excellent opportunity to acquire the necessary skills to enter careers in one of the most dynamic and exciting fields in ICT.

The programme builds on the research strengths of the Visual Information Laboratory and the Communication Systems and Networks Group within the Faculty of Engineering at Bristol. Both groups are highly regarded for combining fundamental research with strong industrial collaboration and their innovative research has resulted in ground-breaking technology in the areas of image and video analysis, coding and communications. Both groups also offer extensive, state-of-the-art research facilities.

This MSc provides in-depth training in design, analysis and management skills relevant to the theory and practice of the communication networks industry. The programme is accredited by the Institution of Engineering and Technology until 2018, and is one of only a handful of accredited programmes in this field in the UK.

Programme structure

Your course will cover the following core subjects:
Semester One (50 credits)
-Coding theory
-Communication systems
-Digital filters and spectral analysis
-Mobile communications
-Networking protocol principles

Semester Two (70 credits)
-Digital signal processing systems
-Speech and audio processing
-Optimum signal processing
-Biomedical imaging
-Image and video coding
-Engineering research skills

Research project
You will complete a substantial research project, starting during Semester Two and completed during the summer. This may be based at the University or with industrial partners.

Careers

This one-year MSc programme covers all aspects of current and future image and video communications and associated signal processing technologies. It will prepare you for a diverse range of exciting careers, not only in the communications field, but also in other areas such as management consultancy, project management, finance and government agencies.

Our graduates have gone on to have rewarding careers in some of the leading multinational communications companies, such as Huawei, China Telecom, Toshiba, China Mobile and Intel. Some graduates follow a more research-oriented career path with a number of students going on to study for PhDs at leading universities.

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The course aims to provide a thorough, methodical and wide-ranging education in digital signal and image processing. It provides a rigorous framework for the discipline, and will enable students to become confident in their ability to be technologically creative. Read more
The course aims to provide a thorough, methodical and wide-ranging education in digital signal and image processing. It provides a rigorous framework for the discipline, and will enable students to become confident in their ability to be technologically creative.

The course gives you the knowledge of the latest techniques in digital image and signal processing and the confidence to use these skills in a wide variety of application areas. You will become highly employable and will be able to pursue a rewarding career in industry or will be inspired to join some of the worlds top research groups and contribute new ideas towards the advancement of this technology.
Aims and Objectives of the course

Upon successful completion of the course, you will be empowered with knowledge of the latest techniques in digital signal and image processing and will have the confidence to use these skills in a wide variety of application areas. You will become eminently employable and will be able to pursue a very rewarding career in industry, or will be inspired to join some of the world’s top research groups and contribute towards the advancement of this technology with fresh, new ideas.

Further information about this course can be found on the DSP web pages using the link button.

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This full-time course covers the theoretical and practical aspects of communications theory and networks, fundamental control technology and digital signal processing (DSP). Read more

Why this course?

This full-time course covers the theoretical and practical aspects of communications theory and networks, fundamental control technology and digital signal processing (DSP). All these topics are critical to the information and communications age.

You’ll gain an advanced knowledge of the principles of the communications, control and DSP domains. You’ll also develop an understanding of the current and future developments and technologies within these three disciplines.

Along with full accreditation from the Institution for Engineering and Technology (IET), this course will enable you to capitalise on job opportunities across a range of sectors including:
- control
- telecommunications
- signal processing
- electronics
- IT user companies

EDF Energy, Siemens and Texas Instruments are just some of the multinationals where our graduates have secured positions.

See the website https://www.strath.ac.uk/courses/postgraduatetaught/communicationscontroldigitalsignalprocessing/

You’ll study

You’ll take two semesters of compulsory and optional taught classes. These are followed by a three-month research project in your chosen area. Opportunities exist to do the project through the department's competitive MSc industrial internships.

The internships are offered in collaboration with selected department industry partners including Selex ES, ScottishPower, SmarterGridSolutions. You'll address real-world engineering challenges facing the partner, with site visits, access and provision of relevant technical data and/or facilities provided, along with an industry mentor and academic supervisor.

Facilities

We’ve a wide range of excellent teaching spaces including interactive classrooms and brand new state-of-the-art laboratories equipped with the latest technologies including:
- White Space Communications Facility
- Hyperspectral Imaging Centre
- DG Smith Radio Frequency Laboratory

You’ll have access to our IT facilities including web based resources, wireless internet and free email. There’s an IT support team to help with all your needs.

Accreditation

The course is fully accredited by the professional body, the Institution for Engineering and Technology (IET).
This programme also fulfils the educational requirements for registration as a Chartered Engineer when presented with a CEng accredited Bachelors programme or equivalent.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at the University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options
To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form. To ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Learning & teaching

We use a blend of teaching and learning methods including interactive lectures, problem-solving tutorials and practical project-based laboratories. Our technical and experimental officers are available to support and guide you on individual subject material.
Each module comprises approximately five hours of direct teaching per week. To enhance your understanding of the technical and theoretical topics covered in these, you're expected to undertake a further five to six hours of self-study, using our web-based virtual learning environment (MyPlace), research journals and library facilities.
The teaching and learning methods used ensure you'll develop not only technical engineering expertise but also communications, project management and leadership skills.

- Industry engagement
Interaction with industry is provided through our internships, teaching seminars and networking events. The department delivers monthly seminars to support students’ learning and career development.
Xilinx, Texas Instruments, MathWorks, and Selex ES are just a few examples of the industry partners you can engage with during your course.

Assessment

A variety of assessment techniques are used throughout the course. You'll complete at least six modules. Each module has a combination of written assignments, individual and group reports, oral presentations, practical lab work and, where appropriate, an end-of-term exam.

Assessment of the summer research project consists of four elements, with individual criteria:
1. Interim report (10%, 1,500 to 3,000 words) – The purpose of this report is to provide a mechanism for supervisors to provide valuable feedback on the project’s objectives and direction.

2. Poster Presentation (15%) – A vital skill of an engineer is the ability to describe their work to others and respond to requests for information. The poster presentation is designed to give you an opportunity to practise that.

3. Final report (55%) – This assesses the communication of project objectives and context, accuracy and relevant of background material, description of practical work and results, depth and soundness of discussion and conclusions, level of engineering achievement and the quality of the report’s presentation.

4. Conduct (20%) - Independent study, project and time management are key features of university learning. The level of your initiative & independent thinking and technical understanding are assessed through project meetings with your supervisor and your written logbooks.

Careers

By concentrating on three distinct disciplines, this course enables you to capitalise on job opportunities across a range of sectors including control, telecommunications, signal processing, electronics and IT user companies. Globalisation of the communications, electronic & digital sectors means if graduates wish to work abroad, this course provides an ideal passport to anywhere in the world.
Almost all of our graduates secure jobs by the time they have completed their course. They have gained professional and technical occupations with international companies such as Samsung, MathsWorks, Nokia and Texas Instruments, as well as joining Wolfson Microelectronics, Seles ES and Linn Products in the UK.
Increasingly, graduates of this course also play leading roles in the power and renewable energy sectors, supporting data analytics, information transmission and security for organisations such as EDF Energy, Siemens & Petrofac Engineering.

Where are they now?

87.5% of our graduates are in work or further study.*

Job titles include:
- Graduate controls engineer
- Graduate software engineer
- Lecturer
- Plant controls graduate

Employers include:
- FTDI
- MacDonald Humfrey (Automation)
- Mehran University of Engineering
- Vestas

*Based on the results of the national Destinations of Leavers from Higher Education Survey (2010/11 and 2011/12)

Find information on Scholarships here http://www.strath.ac.uk/engineering/electronicelectricalengineering/ourscholarships/.

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This MSc covers a range of advanced topics drawn from wireless communications and communications-related signal processing, including associated enabling technologies. Read more
This MSc covers a range of advanced topics drawn from wireless communications and communications-related signal processing, including associated enabling technologies. It provides an excellent opportunity to develop the skills required for careers in some of the most dynamic fields in wireless communications.

This programme builds on the internationally recognised research strengths of the Communications Systems and Networks group within the Smart Internet Lab. This group conducts pioneering research in a number of key fundamental and experimental work areas, including spatial channel measurements and predictions, information theory, advanced wireless access (cellular and WLAN) and RF technologies. The group has well-equipped laboratories with state-of-the-art test and measurement equipment and first-class computational facilities.

The MSc provides in-depth training in design, analysis and management skills relevant to the theory and practice of the wireless communications industry. This degree is accredited by the Institute of Engineering and Technology (IET) until 2018, and is one of only a handful of accredited programmes in this field in the UK.

Programme structure

Your course will cover the following core subjects:
Semester One (60 credits)
-Coding theory
-Radio frequency engineering
-Communication systems
-Mobile communications
-Networking protocol principles
-Digital filters and spectral analysis

Semester Two (60 credits)
-Advanced mobile radio techniques
-Antennas and electromagnetic compatibility
-Broadband wireless communications
-Digital signal processing systems
-Engineering research skills
-Research project (60 credits)

You will carry out a substantial research project, starting during Semester Two and completing during the summer. This may be based at the University or with industrial partners.

Careers

This is a challenging one-year taught Master’s degree, covering all aspects of current and future wireless communication systems and associated signal processing technologies. It will prepare you for a diverse range of exciting careers - not only in the communications field, but also in other areas such as management consultancy, project management, finance and government agencies.

Our graduates have gone on to have rewarding careers in some of the leading multinational communications companies, such as Huawei, China Telecom, Toshiba, China Mobile and Intel. Some graduates follow a more research-oriented career path, with a number of students going on to study for PhDs at leading universities.

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This programme is structured around topics in systems and signal processing, with specialisms in control and systems theory, image processing and machine learning. Read more

Course Summary

This programme is structured around topics in systems and signal processing, with specialisms in control and systems theory, image processing and machine learning. Skills developed are sought after by industry (biotech, financial services, systems engineering, medical imaging, etc) and the academic research community. The modules have a high mathematical content and much of the material is computationally based, developing strong transferable skills in algorithmic development and programming.

Modules

Semester one: Signal Processing; Control System Design; Machine Learning; Computer Vision

Semester two: Advanced Systems and Signal Processing; Digital Control System Design; Applied Control Systems; Biological Inspired Robotics; Advanced Computer Vision; Image Processing; Advanced Machine Learning; Computational Finance; Computational Biology; Biometrics

Visit our website for further information...



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This is a challenging one-year taught Master’s degree programme that provides students with a range of advanced topics drawn from communication networks (fixed and wireless) and related signal-processing, including associated enabling technologies. Read more
This is a challenging one-year taught Master’s degree programme that provides students with a range of advanced topics drawn from communication networks (fixed and wireless) and related signal-processing, including associated enabling technologies. It provides an excellent opportunity to develop the skills needed for careers in some of the most dynamic fields in communication networks.

This programme builds on the internationally recognised research strengths of the Communications Systems and Networks, High Performance Networks and Photonics research groups within the Smart Internet Lab. The groups conduct pioneering research in a number of key areas, including network architectures, cross-layer interaction, high-speed optical communications and advanced wireless access.

There are two taught units related to optical communications: Optical Networks and Data Centre Networks. Optical Networks will focus on Wavelength Division Multiplexed (WDM) networks, Time Division Multiplexed (TDM) networks including SDH/SONET and OTN, optical frequency division multiplexed networks, and optical sub-wavelength switched networks. Data Centre Networks will focus on networks for cloud computing, cloud-based networking, grid-computing and e-science. There is a further networking unit: Networked Systems and Applications, which provides a top-down study of networking system support for distributed applications, from classical web and email to telemetry for the Internet of Things.

The programme is accredited by the Institution of Engineering and Technology until 2018, one of only a handful of accredited programmes in this field in the UK.

Programme structure

Your course will cover the following core subjects:

Semester One (40 credits)
-Communication systems
-Digital filters and spectral analysis
-Mobile communications
-Networking protocol principles

Semester Two (80 credits)
-Data centre networking
-Advanced networks
-Broadband wireless communications
-Networked systems and applications
-Engineering research skills
-Optical communications systems and data networks
-Optical networks

Project (60 credits)
You will carry out a substantial research project, starting during Semester Two and completed during the summer. This may be based at the University or with industrial partners.

Careers

This one-year MSc programme gives you a world-class education in all aspects of current and future communication networks and signal processing. It will prepare you for a diverse range of exciting careers - not only in the communications field, but also in other areas such as management consultancy, project management, finance and government agencies.

Our graduates have gone on to have rewarding careers in some of the leading multinational communications companies, such as Huawei, China Telecom, Toshiba, China Mobile and Intel. Some graduates follow a more research-oriented career path, with a number of students going on to study for PhDs at leading universities.

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This programme provides students with a challenging range of advanced topics drawn from optical communications systems and devices, and optics-related signal processing, including associated enabling technologies. Read more
This programme provides students with a challenging range of advanced topics drawn from optical communications systems and devices, and optics-related signal processing, including associated enabling technologies. It provides an excellent opportunity to acquire the skills needed for a career in the most dynamic fields in optical communications.

This programme builds on the internationally-recognised research strengths of the Photonics and High Performance Networks research groups within the Smart Internet Lab. Optical fibre communications form the backbone of all land-based communications and is the only viable means to support today's global information systems. Research at Bristol is contributing to the ever-increasing requirement for bandwidth and flexibility through research into optical switching technology, wavelength conversion, high-speed modulation, data regeneration and novel semiconductor lasers.

There are two taught units related to optical communications: Optical Networks and Data Centre Networks. Optical Networks focuses on Wavelength Division Multiplexed (WDM) networks, Time Division Multiplexed (TDM) networks including SDH/SONET and OTN, optical frequency division multiplexed networks, and optical sub-wavelength switched networks. Data Centre Networks focuses on networks for cloud computing, cloud-based networking, grid computing and e-science.

The group at Bristol is a world leader in the new field of quantum photonics, with key successes in developing photonic crystal fibre light sources, quantum secured optical communications and novel quantum gate technologies.

The programme is accredited by Institute of Engineering and Technology until 2018, one of only a handful of accredited programmes in the UK.

Programme structure

Your programme will cover the following core subjects:

Semester one (50 credits)
-Communication systems
-Digital filters and spectral analysis
-Mobile communications
-Networking protocol principles
-Optoelectronic devices and systems

Semester two (70 credits)
-Advanced optoelectronic devices
-Data centre networking
-Advanced networks
-Engineering research skills
-Optical communications systems and data networks
-Optical networks

Research project (60 credits)
A substantial research project is initiated during the second teaching block and completed during the summer. This may be based at the University or with industrial partners.

Careers

This one-year MSc programme gives you a world-class education in all aspects of current and future optical communication systems, along with associated signal processing technologies. It will prepare you for a diverse range of exciting careers - not only in the communications field, but also in other areas such as management consultancy, project management, finance and government agencies.

Our graduates have gone on to have rewarding careers in some of the leading multinational communications companies, such as Huawei, China Telecom, Toshiba, China Mobile and Intel. Some graduates follow a more research-oriented career path with a number of students going on to study for PhDs at leading universities.

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This masters programme links classical communications engineering practice with state-of-the-art DSP techniques. It is well suited to graduate design engineers, as well as managers working in the modern communications and electronics industries. Read more
This masters programme links classical communications engineering practice with state-of-the-art DSP techniques.
It is well suited to graduate design engineers, as well as managers working in the modern communications and electronics industries.

The programme is tailored to provide an up-to-date engineering educational experience and specialist skills to meet the increasing worldwide demand for high calibre R&D and design engineers in modern telecommunications and information industries. The contents cover a wide range of technologies of modern communication systems including wireless terrestrial and satellite communications supported by advanced DSP and Multimedia wideband networks and compression techniques.

Programme Highlights

- Regularly updated to keep it at the forefront of employer requirements and excellent career prospects
- System-oriented analytical skill in communications theory
- Hands-on experience in signal processing
- The school has gained national and international recognition for its research in satellite communications, data storage, and digital signal processing.
- Resources available include a DSP laboratory, a new Networks laboratory funded in part by CISCO, a separate postgraduate study room with full Internet and specialist software, and a dedicated communications laboratory
- Strong collaboration with BT's Goonhilly satellite earth station and other companies eg Orange (France Telecom).

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This course encourages students to develop in-depth knowledge and critical awareness of theoretical, as well as practical, solutions to problems at the forefront of the communication and processing of signals. Read more
This course encourages students to develop in-depth knowledge and critical awareness of theoretical, as well as practical, solutions to problems at the forefront of the communication and processing of signals.

Communications and signal processing are closely intertwined, and together provide the basis of modern information engineering. Areas of application include:

3G/4G/LTE wireless networks
broadcast and computer communication
robotic vision
audio and video recording
radar and sonar detection
biomedical signal processing
computer vision
medical imaging
remote sensing

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The MSc in Digital Signal and Image Processing has been developed to deliver qualified engineers of the highest standard into the emerging field of digital signal and image processing who are capable of contributing significantly to this increased demand for both real-time and off-line systems operating over a range of mobile, embedded and workstation platforms. Read more
The MSc in Digital Signal and Image Processing has been developed to deliver qualified engineers of the highest standard into the emerging field of digital signal and image processing who are capable of contributing significantly to this increased demand for both real-time and off-line systems operating over a range of mobile, embedded and workstation platforms. The DSIP option of the MSc in Computational and Software Techniques in Engineering aims to develop your skill-base for the rapidly expanding engineering IT industry sector, not only in the UK but all over the world. Graduates in this option have the opportunity to pursue a wide range of careers embracing telecommunications, the automotive industry, medical imaging, software houses and industrial research where demand for skills is high.

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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. Read more
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.

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