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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.



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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.



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Our MSc Systems, Control and Signal Processing degree will allow you to build on the core topic of signal processing with specialisms in systems theory, image processing and machine learning. Read more

Our MSc Systems, Control and Signal Processing degree will allow you to build on the core topic of signal processing with specialisms in systems theory, image processing and machine learning. This one year course will give you highly transferable skills in algorithmic development and programming.

Introducing your degree

Focus on systems and signal processing in a programme that encompasses contemporary approaches to a broad range of topics.

Overview

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

The programme is centred around the research base at Southampton and reflects leading research in ECS in the areas of:

  • signal processing
  • robotics
  • systems and control theory
  • image processing
  • machine learning

The programme has a high mathematical content, and much of the material is strongly computationally based. You will develop strong transferable skills in algorithmic development and programming.

View the programme specification document for this course

Career Opportunities

This programme provides an excellent platform for further research in either industry or academia.

Graduates from our MSc programme are employed worldwide in leading companies at the forefront of technology. ECS runs a dedicated careers hub which is affiliated with over 100 renowned companies including:

  • IBM
  • Arm
  • Microsoft Research
  • Imagination Technologies
  • Nvidia
  • Samsung
  • Google

Visit our careers hub for more information.

Through an extensive blend of networks, mentors, societies and our on-campus startup incubator, we also support aspiring entrepreneurs looking to build their professional enterprise skills. Discover more about enterprise and entrepreneurship opportunities.



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This intensive programme offers an exciting opportunity to learn from world leaders in both informatics and linguistics. Read more

This intensive programme offers an exciting opportunity to learn from world leaders in both informatics and linguistics. Drawing from our cutting-edge research, the programme’s content covers all areas of speech and language processing, from phonetics, speech synthesis and speech recognition to natural language generation and machine translation.

This flexible programme provides research or vocational training and can be either freestanding or lead to PhD study. The modular nature of the programme allows you to tailor it to your own interests.

Taught by leading researchers from Linguistics & English Language, the Centre for Speech Technology Research and the School of Informatics, this programme combines elements of linguistics, computer science, engineering and psychology.

You will develop up-to-date knowledge of a broad range of areas in speech and language processing and gain the technical expertise and hands-on skills required to carry out research and development in this challenging interdisciplinary area.

Programme structure

You study two semesters of taught courses, followed by a dissertation.

Most core compulsory courses have both computational and mathematical content. A few optional courses need a stronger mathematical background. Courses in the second semester can be tailored to your own interests and abilities.

Compulsory courses:

  • Accelerated Natural Language Processing
  • Computer Programming for Speech and Language Processing
  • Speech Processing
  • Univariate Statistics and Methodology Using R

Option courses may include:

  • Introduction to Phonology and Phonetics
  • Automatic Speech Recognition
  • Machine Learning and Pattern Recognition
  • Machine Translation
  • Natural Language Understanding
  • Simulating Language
  • Speech Synthesis

Learning outcomes

This programme aims to equip you with the technical knowledge and practical skills required to carry out research and development in the challenging interdisciplinary arena of speech and language technology.

You will learn about state-of-the-art techniques in speech synthesis, speech recognition, natural language processing, dialogue, language generation and machine translation.

You will also learn the theory behind such technologies and gain the practical experience of working with and developing real systems based on these technologies. This programme is ideal preparation for a PhD or working in industry.

Career opportunities

This programme will provide you with the specialised skills you need to perform research or develop technology in speech and language processing. It will also serve as a solid basis for doctoral study.



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This course will provide you with in-depth knowledge and critical awareness of theoretical and practical solutions to problems at the forefront of communications and the processing of signals. Read more

This course will provide you with in-depth knowledge and critical awareness of theoretical and practical solutions to problems at the forefront of communications and the processing of signals.

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

Areas of application include:

  • mobile communications (3G/4G/LTE and future 5G), access networks and wireless communication
  • Communication networks including broadcast and computing communication networks
  • image processing and robotic vision
  • audio and video recording
  • radar and sonar detection
  • biomedical signal processing
  • medical imaging
  • remote sensing
  • array signal processing and beamforming
  • space-time communications and processing

Further information

For full information on this course, including how to apply, see: http://www.imperial.ac.uk/study/pg/electrical-engineering/communications-signal-processing/

If you have any enquiries you can contact our team at:



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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.



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This course gives you the skills you need to start a career as a food processing engineer. This is a role much in demand in the food and drink industry, the largest manufacturing sector in the UK. Read more

This course gives you the skills you need to start a career as a food processing engineer. This is a role much in demand in the food and drink industry, the largest manufacturing sector in the UK.

You learn practical techniques and work with food manufacturers on real projects that prepare you for your career. You also visit factories including • AB World Foods • Burtons Biscuits • KP Snacks • Premier Foods • Thornton's.

The course is designed to be flexible to help you study around your other commitments.

What you study

During the course you gain an overview of engineering principles and key sector issues, giving you a range of knowledge across the food sector. Your learning is based around examples and assessments relevant to the food processing industry.

You undertake a group project to develop a new food product and its processing. This involves working with students from different courses, giving you experience in a multi-disciplinary food processing environment. You explore ethics, sustainability, health and safety and intellectual property rights, as well as business and marketing strategies related to the food industry.

You also study material flow characteristics, which is a core discipline in food processing. Using food materials to illustrate key characteristics, you learn techniques to analyse the rheology and flow of food products through food processing equipment, including understanding the thixotropic behaviour of tomato ketchup.

You then choose two further optional modules, allowing you to focus on your key areas of interest.

The course also gives you the opportunity to take modules on • food • food safety • the management of food production • food processing • food manufacturing techniques • engineering processes.

Course structure

Level one modules

  • engineering principles
  • mechanical engineering
  • sustainability, energy and environmental management
  • lean operations and six sigma

Level two core modules

  • international product development
  • rheology and multi-phase flow
  • food safety engineering and management
  • food manufacturing engineering

Level two optional modules

Choose two from

  • manufacturing systems
  • industrial automation
  • supply chain modelling and simulation
  • logistics and enterprise information systems

Assessment

  • coursework
  • exams
  • project

Employability

The course leads to career opportunities in the food and drink sector, where there is a high demand for scientific and technically qualified individuals. Example roles and potential salaries include • engineering manager (£55,000) • maintenance manager (£40,000) • production area controller (£28,000) • project engineer (£40,000) • site engineering manager (£55,000).

The National Centre of Excellence for Food Engineering has extensive contacts with national and multi-national food and drink companies including • Nestle • PepsiCo • Mondelez • Greencore • Premier Foods • Kellogg’s • William Jackson Food Group. The Centre support students to progress to roles with companies in this significant industrial sector.



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The food and drink sector is the largest manufacturing sector in the UK delivering 18% of the UK's total output by value. Read more

The food and drink sector is the largest manufacturing sector in the UK delivering 18% of the UK's total output by value. Tasked by government and the Food and Drink Federation with achieving 20% growth in productivity by 2020, the industry is developing innovative solutions to increase productivity, reduce waste and energy usage, and introducing more efficient manufacturing to reduce costs and drive competitive advantage.

Course details

This course is suitable if you are a recent graduate or in employment and wanting to qualify to MSc level. The blended learning approach means that employers looking to upskill and retain their best employees can do so with minimum time off work. There are three routes you can select from to gain a postgraduate Master’s award:

  • MSc Food Processing Engineering – one year full time
  • MSc Food Processing Engineering – two years part time
  • MSc Food Processing Engineering (with Advanced Practice) – two years full time

The one-year programme is a great option if you want to gain a traditional MSc qualification – you can find out more here. This two-year Master’s degree with Advanced Practice enhances your qualification by adding to the one-year Master’s programme an internship, research or study abroad experience.

The MSc Food Processing Engineering (with Advanced Practice) course offers you the chance to enhance your qualification by completing an internship, research or study abroad experience in addition to the content of the one-year MSc. This two-year programme is an opportunity to enhance your qualification by spending one semester completing a vocational internship, research internship or by studying abroad. Although we can’t guarantee an internship, we can provide you with practical support and advice on how to find and secure your own internship position. A vocational internship is a great way to gain work experience and give your CV a competitive edge. Alternatively, a research internship develops your research and academic skills as you work as part of a research team in an academic setting – ideal if you are interested in a career in research or academia. A third option is to study abroad in an academic exchange with one of our partner universities. This option does incur additional costs such as travel and accommodation. You must also take responsibility for ensuring you have the appropriate visa to study outside the UK, where relevant.

Teesside University is highly praised for its links with local and national industries and businesses such as Marlow Foods (Quorn), SK Chilled Foods and Sainsbury’s. The University is committed to integrating with industry in the Tees Valley and has a record of producing employment-ready problem solvers and innovators. This postgraduate programme embeds key transferable skills, visits to industry and talks from industrial speakers relevant to the food and drink industries.

What you study

For the MSc with advanced practice, you complete 120 credits of taught modules, a 60-credit master’s research project and 60 credits of advanced practice.

Course structure

Core modules

  • Data Acquisition and Signal Processing Techniques
  • Food Chemistry Composition and Analysis
  • Food Manufacturing Engineering
  • Food Product Design and Manufacturing Process Development
  • Food Safety Engineering and Management
  • Research Project (Advanced Practice)

Advanced Practice options

  • Research Internship
  • Study Abroad
  • Vocational Internship

Modules offered may vary.

Teaching

How you learn

The transition to postgraduate level study can be challenging – support with making this transition is an important element of this course.

You are supported during your induction and in the module Food Product Design and Manufacturing Processes. This support helps you understand the requirements of academic study at postgraduate level, enhancing your skills in academic writing and referencing, and developing the skills necessary to operate professionally, safely and ethically in planning and implementing a master’s level research project.

By including work-based problem-solving projects and case study exercises, this course emphasises real-world working. Theory and knowledge is blended in the context of business, allowing you to develop the skills employers are seeking to set you on a successful career path. Blended learning provides a rich and varied learning experience, and additional flexibility if you are in employment. 

On campus you have access to a dedicated food product development laboratory and a pilot-scale processing equipment facility, allowing you to gain valuable hands-on experience of food processing and product development. Fully equipped microbiological and chemical analysis laboratories enable you to undertake a series

How you are assessed

You are assessed on your subject knowledge, independent thought and new skills through formative and summative assessment. 

Assessment may include

  • exams
  • oral presentations
  • technical interviews
  • technical reports
  • laboratory reports
  • literature surveys, evaluations and summaries
  • dissertation or thesis.

You are presented with an assessment schedule with details of your submission deadlines for summative assessments.

Your Advanced Practice module is assessed by an individual written reflective report (3,000 words) together with a study or workplace log, where appropriate, and through a poster presentation.

Employability

Career opportunities

Food and drink manufacturing is vital to the UK economy. It is the single largest manufacturing sector in the UK, employing 15% of the entire manufacturing workforce. Food and drink manufacturing companies make up 7% of all manufacturing businesses, and they buy two thirds of all the UK’s agricultural produce. The industry generates 18% of total manufacturing turnover. 

To meet the demands of this dynamic sector, the food industry needs to recruit more than 49,000 new skilled professionals and managers by 2022, which is great news for the next generation of talent wanting to study toward a rewarding career in a dynamic and highly innovative sector (The National Skills Academy for Food & Drink). 

Graduates can seek jobs in many areas in the food sector including

  • food analysis
  • new product development
  • quality management and food safety management
  • food production management
  • technical management.

Work placement

There may be short-term placement opportunities for some students, particularly during the project phase of the course.



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About the course. Accredited by the British Computer Society. Speech and language technology graduates are in demand, in areas like machine translation, document indexing and retrieval, and speech recognition. Read more

About the course

Accredited by the British Computer Society

Speech and language technology graduates are in demand, in areas like machine translation, document indexing and retrieval, and speech recognition. Our world-leading language and speech research staff will help you to develop the skills you need.

Prepare for your career

Our courses give you experience of how real-world projects work. We consult with big employers to ensure that you develop the skills and the personal qualities they’re looking for.

You’ll learn about the issues that matter in global business and industry. Our graduates go into academic and industrial research, the software industry, banking and finance. They work for companies such as Logica, IBM, Hewlett Packard, PWC, Vodafone, the BBC and HSBC.

About us

Our challenge is to use computation to understand all kinds of systems: computer systems, living systems and cognitive systems. Our research areas include robotics, machine learning, speech and language processing, virtual reality, computational systems biology and software verification and testing. It’s work that makes a difference to people’s lives.

Network and hardware

We have our own high-performance network so you can access our advanced computing facilities. There are labs for teaching smaller groups, wi-fi coverage throughout the department, and you can connect your own laptop to the network. Mobile devices and tablets are available for you to borrow for project work.

We also use specialised equipment: an immersive virtual reality facility, robotics hardware and an acoustic booth for speech processing research.

Core modules

  • Text Processing
  • Speech Processing
  • Speech Technology
  • Machine Learning and Adaptive Intelligence
  • Natural Language Processing
  • Research Methods and Professional Issues
  • Dissertation Project

Examples of optional modules

  • Parallel Computing with Graphical Processing Units (GPUs)
  • Cloud Computing
  • Modelling and Simulation of Natural Systems
  • Software Development for Mobile Devices
  • The Intelligent Web

Teaching and assessment

We use lectures, tutorials and group work. Assessment is by formal examinations, coursework assignments and a dissertation.



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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
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.

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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 International Master Program in Image Processing and Computer Vision provides specialized training in a field of increasing importance in our daily lives. Read more

The International Master Program in Image Processing and Computer Vision provides specialized training in a field of increasing importance in our daily lives. It is essential in domains such as medicine, surveillance, industrial control, remote sensing, e-commerce and automation. The program covers a wide range of methods in computer vision thus guaranteeing highly-qualified graduates in this field. Three partner universities, with internationally recognized experience in these domains, have pooled their complementary expertise and developed this international postgraduate cooperation initiative.

The result is a high-quality, strongly recognized, triple Master degree that respects the 120 ECTS syllabus, and is well adapted to job market criteria. In order to benefit from the knowledge of these three partner universities and their professors, students spend an entire semester in each university.

Program structure

All students follow the same curriculum with some optional courses. The program is organized as follows:

Semester 1: PPCU, Budapest, Hungary

  • Functional Analysis (5 ECTS) – Compulsory
  • Parallel Computing Architectures (3 ECTS) – Compulsory
  • Numerical Analysis 1 (4 ECTS) – Compulsory
  • Basic Image Processing Algorithms (5 ECTS) – Compulsory
  • Data mining (5 ECTS) - Compulsory
  • Stochastic Signals and Systems (4 ECTS) – Optional
  • FPGA-based Algorithm Design (5 ECTS) – Optional
  • Biomedical Signal Processing (4 ECTS) – Optional
  • Programming Methodology (5 ECTS) – Optional
  • Intelligent Sensors (3 ECTS) – Optional

Semester 2: UAM, Madrid, Spain

  • Applied Bayesian Methods (6 ECTS) – Compulsory
  • Biomedical Image Processing and Applications (6 ECTS) – Compulsory
  • Biometrics (6 ECTS) – Compulsory
  • Video Sequences Analysis for Video Surveillance (6 ECTS) – Compulsory
  • Tutored Research Project 1 (6 ECTS) - Compulsory

Semester 3: UBx, Bordeaux, France

  • Image and Inversion (6 ECTS) – Compulsory
  • Variational Methods and PDEs for Image Processing (6 ECTS) - Compulsory
  • Advanced Image Processing (3 ECTS) - Compulsory
  • Video and Indexing (3 ECTS) – Compulsory
  • Image Acquisition and Reconstruction (3 ECTS) – Compulsory
  • IT Project Management (3 ECTS) – Compulsory
  • Tutored Research Project 2 (6 ECTS) – Compulsory

Semester 4: Internship in academic or industry laboratory

Strengths of this Master program

  • International program taught by experts from three different universities in Europe.
  • Triple Master degree.
  • International mobility period in three countries.

After this Master program?

After graduation, students have access to career opportunities such as engineers or further research as PhD students.

Their educational background makes them attractive candidates for companies in the following areas: E-commerce, Medical imaging, Personal assistance, Automation, Industrial control, Security, Post-production, Remote sensing, Software publishing.



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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.



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This challenging inter-disciplinary programme spans the major classes of engineering materials used in modern high technology manufacturing and industry. Read more

This challenging inter-disciplinary programme spans the major classes of engineering materials used in modern high technology manufacturing and industry. The course has considerable variety and offers career opportunities across a wide range of industry sectors, where qualified materials scientists and engineers are highly sought after.

This course is accredited by the Institute of Materials, Minerals and Mining (IOM3), allowing progression towards professional chartered status (CEng) after a period of relevant graduate-level employment.

Core study areas include advanced characterisation techniques, surface engineering, processing and properties of ceramics and metals, design with engineering materials, sustainability and a project.

Optional study areas include plastics processing technology, industrial case studies, materials modelling, adhesive bonding, rubber compounding and processing, and polymer properties.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/materials/materials-science-tech/

Programme modules

Full-time Modules:

Core Modules

- Advanced Characterisation Techniques (SL)

- Surface Engineering (SL)

- Ceramics: Processing and Properties (SL)

- Design with Engineering Materials (SL)

- Sustainable Use of Materials (OW)

- Metals: Processing and Properties (SL)

- MSc Project

Optional Modules

- Plastics Processing Technology (OW)

- Industrial Case Studies (OW)

- Materials Modelling (SL)

Part-time Modules:

Core Modules

- Ceramics: Processing and Properties (DL)

- Design with Engineering Materials (DL)

- Sustainable Use of Materials (OW or DL)

- Metals: Processing and Properties (DL)

- Surface Engineering (DL)

- Plastics Processing Technology (OW)

- MSc Project

Optional Modules

- Industrial Case Studies (OW)

- Adhesive Bonding (OW)

- Rubber Compounding and Processing (OW or DL)

Alternative modules:*

- Polymer Properties (DL)

- Advanced Characterisation Techniques (SL)

- Materials Modelling (SL)

Key: SL = Semester-long, OW = One week, DL = Distance-learning

Alternative modules* are only available under certain circumstances by agreement with the Programme Director.

Selection

Interviews may be held on consideration of a prospective student’s application form. Overseas students are often accepted on their grades and strong recommendation from suitable referees.

Course structure, assessment and accreditation

The MSc comprises a combination of semester-long and one week modules for full-time students, whilst part-time students study a mix of one week and distance-learning modules.

MSc students undertake a major project many of which are sponsored by our industrial partners. Part-time student projects are often specified in conjunction with their sponsoring company and undertaken at their place of work.

All modules are 15 credits. The MSc project is 60 credits.

MSc: 180 credits – six core and two optional modules, plus the MSc project.

PG Diploma: 120 credits – six core and two optional modules.

PG Certificate: 60 credits – four core modules.

- Assessment

Modules are assessed by a combination of written examination, set coursework exercises and laboratory reports. The project is assessed by a dissertation, literature review and oral presentation.

- Accreditation

Both MSc programmes are accredited by the Institute of Materials, Minerals and Mining (IOM3), allowing progression towards professional chartered status (CEng) after a period of relevant graduate-level employment.

Careers and further Study

Typical careers span many industrial sectors, including aerospace, power generation, automotive, construction and transport. Possible roles include technical and project management, R&D, technical support to manufacturing as well as sales and marketing.

Many of our best masters students continue their studies with us, joining our thriving community of PhD students engaged in materials projects of real-world significance

Bursaries and Scholarships

Bursaries are available for both UK / EU and international students, and scholarships are available for good overseas applicants.

Why Choose Materials at Loughborough?

The Department has contributed to the advancement and application of knowledge for well over 40 years. With 21 academics and a large support team, we have about 85 full and part-time MSc students, 70 PhD students and 20 research associates.

Our philosophy is based on the engineering application and use of materials which, when processed, are altered in structure and properties.

Our approach includes materials selection and design considerations as well as business and environmental implications.

- Facilities

We are also home to the Loughborough Materials Characterisation Centre – its state of-the-art equipment makes it one of the best suites of its kind in Europe used by academia and our industrial partners.

The Centre supports our research and teaching activities developing understanding of the interactions of structure and properties with processing and product performance.

- Research

Our research activity is organised into 4 main research groups; energy materials, advanced ceramics, surface engineering and advanced polymers. These cover a broad span of research areas working on today’s global challenges, including sustainability, nanomaterials, composites and processing. However, we adopt an interdisciplinary approach to our research and frequently interact with other departments and Research Schools.

- Career prospects

Over **% of our graduates were in employment and / or further study six months after graduating. Our unrivalled links with industry are hugely beneficial to our students. We also tailor our courses according to industrial feedback and needs, ensuring our graduates are well prepared

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/materials/materials-science-tech/



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Strongly interdisciplinary in nature, the Institute for Language, Cognition and Communication (ILCC) is dedicated to both basic and applied research in the computational study of language, communication, and cognition, in both humans and machines. Read more

Strongly interdisciplinary in nature, the Institute for Language, Cognition and Communication (ILCC) is dedicated to both basic and applied research in the computational study of language, communication, and cognition, in both humans and machines.

As technology focuses increasingly on language-based communication tools, research into the automation of language processing has become vital. ILCC offers you the broadest research scope in the UK, and a strong computational focus.

Our primary areas of research are:

  • natural language processing and computational linguistics
  • spoken language processing
  • dialogue and multimodal interaction
  • information extraction, retrieval, and presentation
  • computational theories of human cognition
  • educational and assistive technology
  • visualisation

Much of our research is applied to software development, in areas as diverse as social media, assisted living, gaming and education.

You may find yourself working closely with other departments of the University, particularly the School of Philosophy, Psychology & Language Sciences.

Many of our researchers are involved in cross-disciplinary research centres; for instance:

Centre for Speech Technology Research (CSTR)

The Centre for Speech Technology Research (CSTR) is an interdisciplinary research centre linking Informatics and Linguistics. Founded in 1984, it is now one of the world's largest concentrations of researchers working in the field of language and speech processing.

CSTR is concerned with research in all areas of speech technology including speech recognition, synthesis, signal processing, acoustic phonetics, information access, multi-modal interaction and dialogue systems.

The Centre is home to state-of-the-art research facilities including specialised speech and language-orientated computer labs, a digital recording studio, perception labs and a meeting room instrumented with multiple synchronised video cameras and microphones. There is also access to high-performance computer clusters, the University storage area network, a specialist library, and many speech and language databases

Centre for Design Informatics

Data driven innovation is transforming society and the economy. In the Centre for Design Informatics, we design systems for better human data interaction, in diverse settings such as health, culture, mobility and finance. We explore design from, with, and by data: the central concern is the design of flows of data which sustain and enhance human values. Relevant technologies range from the internet of things, through blockchains, to robotics, speech recognition, data visualisation, interaction design, and social computing.

Data Science EPSRC Centre for Doctoral Training

The EPSRC Centre for Doctoral Training (CDT) in Data Science, based at the University of Edinburgh, is training a new generation of data scientists, comprising 50 PhDs over five intake years, with the technical skills and interdisciplinary awareness necessary to become R&D leaders in this emerging area.

Training and support

You carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.

A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.

It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.

Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.

Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

Career opportunities

While many of our graduates pursue an academic career, others find their skills are highly sought after in the technology industry. A number of our students serve internships with large UK and international software developers, while others take up positions with major social media companies.



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