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:
EDF Energy, Siemens and Texas Instruments are just some of the multinationals where our graduates have secured positions.
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.
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:
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.
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.
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.
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.
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:
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:
Employers include:
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.
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.
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:
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.
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.
Options
Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.
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.
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
As a graduate, you’ll have the skills for a career in areas such as:
The MSc is also an ideal entry point for doctoral research in the field of digital signal and image processing.
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.
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
Semester 2 courses
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.
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.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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.
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.
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.
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.
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.
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:
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:
Assessment
Taught modules 45%, Group project 5%, Individual research project 50%
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:
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:
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.
You’ll study taught modules and work on an individual MSc project.
You’ll benefit from hands-on learning, using for example:
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.
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:
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.
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.
Options
Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.
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.
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
As a graduate, you’ll have the skills for a career in areas such as:
The MSc is also an ideal entry point for doctoral research in the fields of telecommunications and embedded systems.
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:
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.
You’ll study taught modules and work on an individual MSc project.
You’ll benefit from hands-on learning, using for example:
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.
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:
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.
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.
Options
Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.
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.
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
As a graduate, you’ll have the skills for a career in areas such as:
The MSc is also an ideal entry point for doctoral research in the fields of telecommunications and embedded systems.
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.
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:
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.
Click the following link for information on how to apply to this course.
Information about scholarships and bursaries can be found here.
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.
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.
