• Birmingham City University Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Northampton Featured Masters Courses
  • University of Surrey Featured Masters Courses
  • Cardiff University Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • University of Bristol Featured Masters Courses
Cranfield University Featured Masters Courses
University College London Featured Masters Courses
Birmingham City University Featured Masters Courses
Cass Business School Featured Masters Courses
University of the West of England, Bristol Featured Masters Courses
"digital" AND "signal" AN…×
0 miles

Masters Degrees (Digital Signal Processing)

We have 135 Masters Degrees (Digital Signal Processing)

  • "digital" AND "signal" AND "processing" ×
  • clear all
Showing 1 to 15 of 135
Order by 
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). 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.

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 Institution of Engineering & Technology (IET) - this programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with a CEng accredited Bachelors programme.

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.

Job titles include:

  • Graduate controls engineer
  • Graduate software engineer
  • Lecturer
  • Plant controls graduate

Employers include:

  • FTDI
  • MacDonald Humfrey (Automation)
  • Mehran University of Engineering
  • Vestas


Read less
Apply by: 1 August (International), 1 September (UK/EU). Digital signal and image processing lies at the heart of modern society – we all use mobile phones, watch digital tv and may soon ride in automated vehicles guided by embedded vision systems. Read more

Apply by: 1 August (International), 1 September (UK/EU)

Digital signal and image processing lies at the heart of modern society – we all use mobile phones, watch digital tv and may soon ride in automated vehicles guided by embedded vision systems.

All these technologies rely on signal processing methods and specialised hardware. This new MSc is designed to give you the specialised knowledge and skills needed in modern digital technology.

This course is for you if you have an undergraduate degree in Engineering, or if you’re a practising engineer and would like to update your knowledge and practical skills in the areas of digital signal processing and image processing.

Why choose this course?

How will I study?

You’ll study taught modules and work on an individual MSc project.

The modules are taught by a combination of lectures, seminars and practical laboratory work. Assessment is linked to the modules’ learning outcomes and involves unseen exam and/or coursework. The MSc project is assessed by a project dissertation and oral presentation.

MSc project

You’ll complete a substantial MSc project, which is often practical as well as theoretical. You may have opportunities to work with an industrial partner.

Some of our previous students’ project work has led to journal and conference publication, giving them a head start in their careers.

The project allows you to develop your skills as an engineer and will involve:

  • an in-depth study of an advanced topic in digital signal or digital image processing
  • further development of your critical awareness, creative thinking and project planning skills
  • enhancing your ability to describe complex technical issues clearly and concisely
  • developing your presentation skills to effectively communicate your work and ideas to senior colleagues within an organisation.

Project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department. A member of faculty supervises the project.

Modules

Core modules

Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

  • MSc Individual Project
  • Advanced Digital Signal Processing
  • Cybernetics and Neural Networks
  • Digital Signal Processing Laboratory
  • Image Processing

Options

Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.

  • Fibre Optic Communications
  • Internet-of-Things
  • Mobile Communications
  • Real Time Embedded Systems
  • Reconfigurable System on Chip
  • Topics in Wireless Communications
  • Wearable Technologies

This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail may change. The validation process will be concluded before the course starts.

Working while you study

Our Careers and Employability Centre can help you find part-time work while you study. Find out more about career development and part-time work

Careers

As a graduate, you’ll have the skills for a career in areas such as:

  • mobile and satellite telecommunications (where large industry players include Samsung, Vodaphone, Nokia and Arm Holdings)
  • aerospace (where large industry players include Airbus, Rolls-Royce and GE)
  • automotive (where large industry players include Jaguar, BMW and Continental)
  • defence and security (where large industry players include BAE Systems, QinetiQ and Thales)
  • healthcare (where large industry players include Siemens and GE).

The MSc is also an ideal entry point for doctoral research in the field of digital signal and image processing.



Read less
Modern information systems continue to transform and progress the ease with which information can be accessed across the globe and to underpin the digital society and economy. Read more
Modern information systems continue to transform and progress the ease with which information can be accessed across the globe and to underpin the digital society and economy.

They depend fundamentally on digital systems of communication, and this programme provides thorough coverage of the speciality to meet the high and increasing demand for digital communications engineers who can manage and develop the technologies of today’s data-driven lifestyle.

This programme is aimed at recent engineering, physics and computer science graduates and/or those with a number of years industry experience in the communications industry, who wish to acquire in-depth knowledge of this key specialism in order to progress their careers.

Core study areas include fundamentals of digital signal processing and information theory and coding, and a research project.

Optional study areas include communication networks, personal radio communications, communication channels, digital signal processing for software defined radio, multimedia over networks, mobile network technologies and intelligent signal processing.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/digital-communication-systems/

Programme modules

Compulsory Modules:
Semester 1
- Fundamentals of Digital Signal Processing
- Information Theory and Coding

Semester 2
- Research project
- Advanced individual project

Optional Modules:
Semester 1
- Communication Networks
- Personal Radio Communications
- Communication Channels

Semester 2
- Digital Signal Processing for Software Defined Radio
- Communication Network Security and e-Commerce
- Mobile Network Technologies
- Intelligent Signal Processing

How you will learn

The course is designed to give both deep understanding of the core technologies which underpin the industry and which are driving the latest advances in performance and capability. It allows you to develop your personal interests via a range of specialised optional modules. The individual research project is often undertaken as part of the School’s internationally respected research portfolio.

- Assessment
Examinations are held in January and May, with coursework and group work throughout the programme. The individual research project is assessed by written report and viva voce in September.

Facilities

Students on the programme have access to laboratories, industry standard software and hardware including equipment provided by Texas Instruments. There is a range of anechoic chambers including the largest microwave chamber at any UK university.

Careers and further study

Job opportunities include both senior technical and managerial activities in the fields of communications engineering including high speed digital design, communication systems engineering, software/firmware engineering, algorithm development and signal processing engineering.

Why choose electronic, electrical and systems engineering at Loughborough?

We develop and nurture the world’s top engineering talent to meet the challenges of an increasingly complex world. All of our Masters programmes are accredited by one or more of the following professional bodies: the IET, IMechE, InstMC, Royal Aeronautical Society and the Energy Institute.

We carefully integrate our research and education programmes in order to support the technical and commercial needs of society and to extend the boundaries of current knowledge.

Consequently, our graduates are highly sought after by industry and commerce worldwide, and our programmes are consistently ranked as excellent in student surveys, including the National Student Survey, and independent assessments.

- Facilities
Our facilities are flexible and serve to enable our research and teaching as well as modest preproduction testing for industry.
Our extensive laboratories allow you the opportunity to gain crucial practical skills and experience in some of the latest electrical and electronic experimental facilities and using industry standard software.

- Research
We are passionate about our research and continually strive to strengthen and stimulate our portfolio. We have traditionally built our expertise around the themes of communications, energy and systems, critical areas where technology and engineering impact on modern life.

- Career prospects
90% of our graduates were in employment and/or further study six months after graduating. They go on to work with companies such as Accenture, BAE Systems, E.ON, ESB International, Hewlett Packard, Mitsubishi, Renewable Energy Systems Ltd, Rolls Royce and Siemens AG.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/digital-communication-systems/

Read less
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
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

Accreditation

The course is accredited by the Institution of Engineering and Technology (IET) and Engineering Council, and therefore provides a good foundation for professional registration.

Facilities

The School of Electrical and Electronic Engineering has a suite of world-class research and teaching laboratories. These have the latest electronic instruments and computer aided design software for Digital Signal Processing (DSP) and Field-programmable gate array (FPGA) devices.

The facilities are among the most advanced of their type. This enables us to join the global race to develop ambient intelligence systems involving tiny sensors and computing devices embedded in much of what we use.

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

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, Estimation Theory and Random Signals (PETARS)
  • Image Processing
  • Digital Signal Processing Laboratory

Semester 2 courses

  • Adaptive Signal Processing
  • Advanced Coding Techniques
  • Advanced Wireless Communication
  • Array Processing Methods and MIMO Systems
  • 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.



Read less
This course delivers a thorough, methodical and wide-ranging education in communications, signal processing, and microwave engineering. Read more

This course delivers a thorough, methodical and wide-ranging education in communications, signal processing, and microwave engineering. It covers in-depth materials including digital communication, wireless communications, mobile networks, digital signal processing, communication networks, and optical communications. In addition, students can choose between course units that specialise in signal and image processing, or antennas and microwave systems engineering. 

The course is aimed at those with prior undergraduate level knowledge on communication and signal processing, wishing to enhance their skills to an advanced level for a rewarding career in related industries. Graduates are also capable to conduct PhD study in world leading research groups and contribute new ideas towards the advancement of technologies.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

On graduating you will be able to enter directly all areas of the modern communication and signal processing engineering industry, including the fast growing mobile and wireless technology sectors. You will also be prepared to begin PhD research programmes, which may lead to careers in research establishments and universities.



Read less
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.

Read less
The progress made in telecommunications and information technology allows you to benefit from greater access to entertainment, health, and commerce. Read more
The progress made in telecommunications and information technology allows you to benefit from greater access to entertainment, health, and commerce. A range of multimedia services underpins the growth in these areas. This programme focuses on practical and theoretical aspects of electronics and provides a solid foundation for engineering a wide range of electrical systems, such as embedded microcontrollers, renewable energy, power converters and high frequency communications.

Key features

-Gain hands-on experience in signal processing and embedded systems programming.
-Benefit from the industrial collaboration with British Telecommunications plc (BT) and Bombardier Transportation. Strong collaboration with BT's Goonhilly Satellite Earth Station and other companies such as Orange (France Telecom).
-Progress in a school that has gained national and international recognition for its research in satellite communications, data storage, and digital signal processing (Research Assessment Exercise RAE 2008).
-Develop research skills in leading edge technology. and advance with the support of our Centre for Security, Communications and Network Research.
-Develop your knowledge in our Digital Signal Processing [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.
-Explore the option of completing the programme over two years with an integral work placement year.
-Draw on the expertise of our lecturers who are nationally and internationally recognised leading researchers. Professor Martin Tomlinson is internationally recognised for the invention of the Tomlinson-Harashima precoder – a key component of any telecommunications modem.
-Benefit from Institution of Engineering and Technology (IET) accreditation. The MSc is a significant step towards the status of Chartered Engineer (CEng) which is highly sought after in industry.
-You are eligible to apply for an IET postgraduate scholarship. Amounts can vary between £2,500 and £10,000, tenable for one year, which are intended to reward excellence rather than alleviate financial hardship. For more information on the different scholarships available, details on how to apply and confirmed closing dates for applications, please visit the IET Awards and Scholarships.
-Stand out from the crowd by completing an integrated placement as part of your masters degree.

Course details

The MSc Electrical and Electronic Engineering will appeal to you if you are a design engineer. The programme provides an in-depth knowledge of specialist areas in electrical and electronic engineering underpinned by the theory and practice of modern electronics and renewable energy systems, together with the associated signal processing and embedded programming techniques. The modules have been selected to give you an even balance of essential modern areas of electrical and electronic engineering. The communications content will give you a broad grounding in communication theory and systems while the signal processing content is generally biased toward applications in communications engineering. From our experience of intensive courses, and our work with partner companies, this programme meets the current needs of electrical and electronics industry. The programme is taught in autumn and spring blocks and includes a project.

Core modules
-ROCO503 Sensors and Actuators
-BPIE500 Masters Stage 1 Placement Preparation
-PROJ509 MSc Project
-ELEC512 Nanotechnology and Nanoelectronics
-ELEC518 Digital and Wireless Communications
-SOFT561 Robot Software Engineering
-ELEC517 Integrated Power Systems
-ELEC516 Advanced Signal Processing

Optional placement year
-BPIE502 Electrical/Robotics Masters Industrial Placement

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

Read less
This specialist option of the . MSc Computational and Software Techniques in Engineering. Read more

This specialist option of the MSc Computational and Software Techniques in Engineering has been developed to deliver qualified engineers to 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.

Who is it for?

Developed for students interested in software development within the wide spectrum of industries in which digital signal processing and/or digital image processing plays a significant role. Suitable for candidates from a broad range of engineering backgrounds, including aeronautical, automotive, mechanical and electrical engineering in addition to the more traditional computational sciences background, who wish to both develop and complement their existing skill-set in this new area. Part-time students have a flexible commencement date.

Why this course?

This 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.

This course additionally forms part of the ESTIA (Ecole Supérieure des Technologies Industrielles Avancées) Cranfield MSc programme which gives ESTIA students the opportunity to study this degree based either at Cranfield University or ESTIA in Bidart, South-West France.

Cranfield University is very well located for visiting part-time students from all over the world, and offers a range of library and support facilities to support your studies. This enables students from all over the world to complete this qualification whilst balancing work/life commitments.

Informed by Industry

The course is directed by an industrial advisory panel who meet twice a year to ensure that it provides the right mix of hands-on skills and up-to-date knowledge suitable for the wide variety of applications that this field addresses.

A number of members also attend the annual student thesis presentations which take place at the end of July. This provides a good opportunity for students to meet key employers.

Course details

The course consists of 12 core modules, including a group design project, plus an individual research project. 

The course is delivered via a combination of structured lectures, tutorial sessions and computer based workshops. Mathematical and computational methods form the basis of the specialist modules, covering the theory and application of DSIP algorithms for the analysis, interpretation and processing of data in diverse fields such as computer vision, robotics, vibro-acoustic condition monitoring, medical diagnosis, remote sensing and data visualisation. This set of specialist modules are designed to provide students with the programming techniques necessary to develop, maintain and use core DSIP solution software over a wide range of industrial settings.

Group project

The group project which takes place in the spring is designed to provide you with invaluable experience of delivering a project within an industry structured team. The project allows you to develop a range of skills including learning how to establish team member roles and responsibilities, project management, delivering technical presentations and gaining experience of working in teams that include members with a variety of expertise and often with members who are based remotely.

Part-time students are encouraged to participate in a group project as it provides a wealth of learning opportunities. However, an option of an individual dissertation is available if agreed with the Course Director.

Recent Group Projects include:

  • Real-time Robotic Sensing
  • Automatic Video Surveillance
  • Face Recognition Systems
  • Applied Digital Signal Processing for Gear Box Analysis
  • Vibro-acoustic Analysis of Turbine Blades.

Individual project

The individual research project allows you to delve deeper into an area of specific interest. It is very common for industrial partners to put forward real world problems or areas of development as potential research project topics. In general you will begin to consider the research project after completing 3-4 modules - it then runs concurrently with the rest of your work.

For part-time students it is common that their research thesis is undertaken in collaboration with their place of work.

Recent Individual Research Projects include:

  • Vision Systems for Real Time Driver Assistance
  • Pattern Recognition for Vibration Analysis
  • Image Stabilisation for UAV Video Footage
  • Presenting Driver Assistance Information Using Augmented Reality
  • Real-time Object Tracking for Intelligent Surveillance Systems
  • 3D Stereo Vision Systems for Robotics and Vehicles.

Assessment

Taught modules 45%, Group project 5%, Individual research project 50%

Your career

The MSc in Computer and Machine Vision attracts enquiries from companies all over the world who wish to recruit high quality graduates. There is considerable demand for students with expertise in engineering software development and for those who have strong technical programming skills in industry standard languages and tools. Graduates of this course will be in demand by commercial engineering software developers, automotive, telecommunications, medical and other industries and research organisations, and have been particularly successful in finding long-term employment.

Some students may go onto degrees, on the basis of their MSc research project. Thesis topics are most often supplied by individual companies on in-company problems with a view to employment after graduation - an approach that is being actively encouraged by a growing number of industries.

A selection of companies that have recruited our graduates include:

  • BAE Systems
  • European Aeronautic Defence and Space Company (EADS)
  • Defence, Science and Technology Laboratory (Dstl)
  • Orange France
  • Microsoft
  • EDS Unigraphics
  • Delcam
  • GKN Technology
  • Logica
  • Oracle Consulting Services
  • National Power
  • Altran Technologies
  • Earth Observation Sciences Ltd
  • Oracle Consulting Services
  • Easams Defence Consultancy
  • Xyratex.


Read less
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.

Read less
Apply by: 1 August (International), 1 September (UK/EU). 5G mobile communications and intelligent embedded systems lie at the heart of many emerging applications. Read more

Apply by: 1 August (International), 1 September (UK/EU)

5G mobile communications and intelligent embedded systems lie at the heart of many emerging applications. These include:

  • the internet-of-things
  • connected and driverless cars
  • smart cities
  • eHealth
  • virtual reality
  • robotics
  • smart manufacturing.

We’ve designed this new MSc course to give you the up-to-date knowledge and skills needed in modern digital technologies.

It's for newly qualified or practising engineers who’d like to extend their knowledge and practical skills in these rapidly growing areas of mobile communications and intelligent embedded systems.

We also offer this course with an industrial placement year.

Why choose this course?

How will I study?

You’ll study taught modules and work on an individual MSc project.

You’ll benefit from hands-on learning, using for example:

  • wireless communications design tools
  • software-defined radios
  • IoT platforms
  • wearable and reconfigurable technologies.

The modules are taught by a combination of lectures, seminars and practical laboratory work. Assessment is linked to the modules’ learning outcomes and involves unseen exam and/or coursework. The MSc project is mainly assessed by a project dissertation and oral presentation.

MSc project

You’ll complete a substantial MSc project, which is often practical as well as theoretical. You may have opportunities to work with an industrial partner.

Some of our previous students’ project work has led to journal and conference publication, giving them a head start in their careers.

The project allows you to develop your skills as an engineer and will involve:

  • an in-depth study of an advanced topic in mobile communications and intelligent embedded systems
  • further development of your critical awareness, creative thinking and project planning skills
  • enhancing your ability to describe complex technical issues clearly and concisely
  • developing your presentation skills to effectively communicate your work and ideas to senior colleagues within an organisation.

Project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department. A member of faculty supervises the project.

Modules

Core modules

Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

  • MSc Individual Project
  • Internet-of-Things
  • Mobile Communications
  • Real Time Embedded Systems
  • Reconfigurable System on Chip
  • Topics in Wireless Communications
  • Wearable Technologies

Options

Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.

  • Advanced Digital Signal Processing
  • Cryptography
  • Cybernetics and Neural Networks
  • Digital Signal Processing Laboratory
  • Fibre Optic Communications
  • Image Processing
  • Satellite and Space Systems

This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail may change. The validation process will be concluded before the course starts.

Working while you study

Our Careers and Employability Centre can help you find part-time work while you study. Find out more about career development and part-time work

Careers

As a graduate, you’ll have the skills for a career in areas such as:

  • mobile and satellite telecommunications (where large industry players include Samsung, Vodafone, Ericsson, Huawei, Nokia, Cobham, British Telecom, Telefonica)
  • aerospace (where large industry players include Airbus, Rolls-Royce and GE)
  • automotive and transport (where large industry players include Jaguar, BMW, Continental, Network rail)
  • defence and security (where large industry players include BAE Systems, QinetiQ and Thales)
  • healthcare (where large industry players include Siemens and GE).

The MSc is also an ideal entry point for doctoral research in the fields of telecommunications and embedded systems.



Read less
Apply by: 1 August (International), 1 September (UK/EU). 5G mobile communications and intelligent embedded systems lie at the heart of many emerging applications. Read more

Apply by: 1 August (International), 1 September (UK/EU)

5G mobile communications and intelligent embedded systems lie at the heart of many emerging applications. These include:

  • the internet-of-things
  • connected and driverless cars
  • smart cities
  • eHealth
  • virtual reality
  • robotics
  • smart manufacturing.

We’ve designed this new MSc course to give you the up-to-date knowledge and skills needed in modern digital technologies.

It's for newly qualified or practising engineers who’d like to extend their knowledge and practical skills in these rapidly growing areas of mobile communications and intelligent embedded systems.

The MSc offers you the opportunity, and the support, to go on an industrial placement at a UK company. This means you’ll gain industry experience, ready for your future career.

We also offer this course without the industrial placement year.

Why choose this course?

How will I study?

You’ll study taught modules and work on an individual MSc project.

You’ll benefit from hands-on learning, using for example:

  • wireless communications design tools
  • software-defined radios
  • IoT platforms
  • wearable and reconfigurable technologies.

The modules are taught by a combination of lectures, seminars and practical laboratory work. Assessment is linked to the modules’ learning outcomes and involves unseen exam and/or coursework. The MSc project is mainly assessed by a project dissertation and oral presentation.

MSc project

You’ll complete a substantial MSc project, which is often practical as well as theoretical. You may have opportunities to work with an industrial partner.

Some of our previous students’ project work has led to journal and conference publication, giving them a head start in their careers.

The project allows you to develop your skills as an engineer and will involve:

  • an in-depth study of an advanced topic in mobile communications and intelligent embedded systems
  • further development of your critical awareness, creative thinking and project planning skills
  • enhancing your ability to describe complex technical issues clearly and concisely
  • developing your presentation skills to effectively communicate your work and ideas to senior colleagues within an organisation.

Project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department. A member of faculty supervises the project.

Modules

Core modules

Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

  • MSc Individual Project
  • Internet-of-Things
  • Mobile Communications
  • Real Time Embedded Systems
  • Reconfigurable System on Chip
  • Topics in Wireless Communications
  • Wearable Technologies

Options

Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.

  • Advanced Digital Signal Processing
  • Cryptography
  • Cybernetics and Neural Networks
  • Digital Signal Processing Laboratory
  • Fibre Optic Communications
  • Image Processing
  • Satellite and Space Systems

This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail may change. The validation process will be concluded before the course starts.

Working while you study

Our Careers and Employability Centre can help you find part-time work while you study. Find out more about career development and part-time work

Careers

As a graduate, you’ll have the skills for a career in areas such as:

  • mobile and satellite telecommunications (where large industry players include Samsung, Vodafone, Ericsson, Huawei, Nokia, Cobham, British Telecom, Telefonica)
  • aerospace (where large industry players include Airbus, Rolls-Royce and GE)
  • automotive and transport (where large industry players include Jaguar, BMW, Continental, Network rail)
  • defence and security (where large industry players include BAE Systems, QinetiQ and Thales)
  • healthcare (where large industry players include Siemens and GE).

The MSc is also an ideal entry point for doctoral research in the fields of telecommunications and embedded systems.



Read less
Course overview. Read more

Course overview

The MSc in Digital Audio Engineering is a unique and innovate course designed to give you advanced knowledge and skills related to digital audio, which can be found in every area of modern technology and culture.  On this course you will gain the creative, investigative and critical thinking abilities to apply your knowledge and skills to real-world situations and problems, such as audio analysis, effects and synthesis plug-ins, digital controllers, installation and embedded systems for public spaces.

Course summary

Digital audio is part of all aspects of modern life. This includes areas such as music and sound production, media and gaming, 3D spatial audio, mobile devices and streaming, online media and the internet of things (IoT), plus many others. The need for people to have the necessary technical and creative abilities to enable and progress how digital audio is embedded in all these areas and many more, is significant.

The course promotes an independent and self-motivating approach to learning by encouraging you to develop real-world technical expertise to effectively innovate, design, develop and operate a range of digital audio systems. Upon graduation you will be prepared as a professional, equipped with the necessary theoretical and practical knowledge to develop a successful career as a digital audio engineer.

The course provides you the opportunity to engage in a wide range of digital audio application developments and potential collaborations with postgraduate students in other areas of the university. These include music technology, software engineering other subject areas in the School of Computing and Engineering and the London College of Music.

The development of learning skills includes processes and activities such as critical appraisal, reflection, literature searching, information technology, peer review, group work, presentation, research, practice/professional skills, note-taking, writing skills, electronic information retrieval, communication skills and independent study at home. These skills will be an integral part of learning courses.

The course modules will enable you to evidence your ability to combine different but related audio engineering subjects in an applied manner. Students from a variety of undergraduate backgrounds in related subjects will be able to enrol and succeed on the course. The type of undergraduate courses students may join the MSc from include:

  • Sound and audio engineering
  • Music technology and music production
  • Computer science
  • Electronic engineering.

As would be expected at masters’ level, there is an appropriate balance of theory and practice, and in order to be successful students will need to demonstrate high levels of analytical, critical and reflective skills alongside a professional level of practical skills and knowledge. Teaching and learning on the programme is underpinned by the research and development activities of the course team.

Modules

  • Mathematics and Signal theory
  • Audio Programming 1
  • Audio Programming 2
  • Digital Signal Processing
  • Emerging Audio Technologies
  • Engineering Research Methods
  • Project.

How to apply

Click the following link for information on how to apply to this course.

Scholarships and bursaries

Information about scholarships and bursaries can be found here.



Read less
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.

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.



Read less
Image and signal processing affect our daily lives in an ever-increasing way. Participate in designing this fascinating technology and shape IT‘s future function in business and society. Read more

Image and signal processing affect our daily lives in an ever-increasing way. Participate in designing this fascinating technology and shape IT‘s future function in business and society. Today‘s networked devices for image and signal generation provide a historically unmatched volume of raw data for automated decision making and control systems. The demands are high: How can we design new tools and software in order to best distil useful information? A lot of interesting research and development projects in the private and the public sectors are calling for your expertise. Alternatively, this degree will open career tracks in universities and research labs.

The international Joint Degree Master Programme„Applied Image and Signal Processing“ is conducted in English. The standard period of study is four semesters. The full program is worth a total of 120 points according to the ECTS (European Credit Transfer and Accumulation System). The academic degree of „Master of Science in Engineering“ (MSc) will be awarded upon successful completion of the programme.

From Theory to Practice (Curriculum)

The first semester is devoted to a concise study of the theoretical basis, the mathematical models and the algorithms used in image and signal processing. The second semester additionally focuses on geometric modelling, audio processing and digital media formats. Starting with the third semester, specific application scenarios are discussed and corresponding technologies are investigated in a number of elective courses.

Choose your Elective Courses

The elective courses comprise medical imaging, platform specific signal processing, data science, biometric systems, media security, computational geometry and machine learning.

Apply your Scientific Knowledge

In the third semester, students also start research on their master thesis and acquire profound IT-project management skills. The fourth semester is dedicated to the completion of the master thesis. An accompanying master seminar provides a forum for presenting and defending one‘s approach to a solution and the results obtained, i.e., for scientific discourse with faculty and peers.

Modules & Competences 

This Joint Degree Master Programme is designed to provide students with an in-depth professional and scientific training. Based on appropriate prior bachelor studies, this programme offers a thorough technical training in conjunction with research-driven teaching. It will make the participants familiar with introductory and advanced-level topics in the fields of image and signal processing, their formal and methodical basics, and with diverse fields of application. The sound knowledge and skills acquired in this programme qualify the alumni for diverse practical challenges in their professional work and empower them to contribute to future innovations in image and signal processing. A master thesis serves as a documentary proof of the student‘s ability to tackle scientific problems successfully on his or her own and to come up with a result that is correct with regards to contents and methodology. Furthermore the publication of Master Thesis is intended. Thus, this programme also paves the road to subsequent work in science and technology.



Read less

Show 10 15 30 per page



Cookie Policy    X