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Masters Degrees (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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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:

  • Advanced Natural Language Processing
  • Computer Programming for Speech and Language Processing
  • Introduction to Phonology and Phonetics
  • Speech Processing

Option courses may include:

  • Advanced Topics in Phonetics: Speech Production and Perception
  • Automatic Speech Recognition
  • Introduction to Statistics and Experimental Design
  • Machine Learning and Pattern Recognition
  • Machine Translation
  • Natural Language Generation
  • Natural Language Understanding
  • Prosody
  • Simulating Language
  • Speech Synthesis
  • Univariate Statistics and Methodology using R

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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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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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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Bournemouth University has one of the largest face-processing laboratories in the UK, and our academic staff have expertise in neuropsychological disorders of face-processing and forensic applications of face-processing research. Read more

Bournemouth University has one of the largest face-processing laboratories in the UK, and our academic staff have expertise in neuropsychological disorders of face-processing and forensic applications of face-processing research. This expertise is central to the delivery of the course, where you will learn about the detection, management and potential remediation of face-processing disorders, including those with acquired, progressive, developmental or neuropsychiatric origins.

Through the study of contemporary issues in face-processing research, the fascinating programme of study is especially relevant if you hope to become a researcher in this area and/or are seeking further professional development by gaining a unique and relevant qualification in an increasingly difficult job market.

You will also gain key technological skills that are required for face-processing research. There will be training in the manipulation of facial stimuli, instruction in programming, and consideration of methodological issues and experimental design. Using our state-of-the-art research equipment, including eye-tracking, tDCS, EEG and when possible MRI, you will get plenty of practical, hands-on experience. These skills will be fundamental for the research project, in which you will carry out an experimental investigation addressing a novel research question in the field.



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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 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 90% 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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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

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

Examples of optional modules

Object-Oriented Programming and Software Design; Modelling and Simulation of Natural Systems; Theory of Distributed Systems; 3D Computer Graphics; Computer Security and Forensics; Testing and Verification in Safety-critical Systems; Intelligent Web; Software and Hardware Verification; Software Development for Mobile Devices; Virtual Environments and Computer Games Technology; Java E-Commerce; Network Performance Analysis.

Teaching and assessment

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

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

Course Summary

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

Modules

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

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

Plus three-month independent research project culminating in a dissertation.

Visit our website for further information.



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Research profile. 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

Research profile

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 two cross-disciplinary research centres:

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.

Human Communication Research Centre

The Human Communication Research Centre (HCRC) is an interdisciplinary research centre at the Universities of Edinburgh and Glasgow that brings together theories and methods from several formal and experimental disciplines to understand better how this happens.

We focus on spoken and written language; we also study communication in other visual, graphical and computer-based media.

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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Are you interested in working with cutting-edge technology at the forefront of language processing?. This course is run by a leading research group at the University of Wolverhampton. Read more
Are you interested in working with cutting-edge technology at the forefront of language processing?

This course is run by a leading research group at the University of Wolverhampton. As a Master's student, you will be part of our Research Institute of Information and Language Processing (RIILP) (http://www.wlv.ac.uk/research/institutes-and-centres/riilp---research-institute-in-information-and-lan/), an independent, research-driven University unit specialising in Linguistics and Natural Language Processing.

What will I learn?

Computational Linguistics (sometimes called Natural Language Processing) is the use of computers to study language. On the course, you will be able to study:
• How to use Python and the well-established NLTK library to process natural language texts;
• How to analyse real language usage;
• How to automatically translate text using computer programs;
• The use of computers to study features of language;
• Translation tools such as translation memory systems;
• Computer techniques for automatically classifying natural language texts;
• Understand how Siri, Amazon Echo and Google Home etc. work;
• How to design an experiment that will thoroughly test your research questions.

You will be mentored through this programme by experienced and leading academics from the field. Join our research group today (http://www.wlv.ac.uk/research/institutes-and-centres/riilp---research-institute-in-information-and-lan/) to become part of this team of leading researchers and academics and create your path to a career in computers and language!

What modules will I study?

When studied full-time, this course comprises of three semesters worth 60 credits each. Three modules will be studied in semesters one and two. During the third semester, students will undertake their research project and complete a 15,000 word dissertation on any aspect of Computational Linguistics.

The course covers all aspects of Computational Linguistics in line with current and leading work in research and industry, and is divided into the following taught modules:
1. Computer programming in Python
2. Corpus Linguistics in R
3. Machine translation and other natural language processing applications
4. Computational Linguistics
5. Translation tools for professional translators
6. Machine learning for language processing
7. Research methods and professional skills

Translation Tools for Professional Translators is an elective module that may be chosen in the Second Semester to replace another taught module for those students who are interested in pursuing careers in Translation.

Opportunities

- You will be taught by leading researchers in the field: our teaching staff at the Research Institute of Information and Language Processing (RIILP) (http://www.wlv.ac.uk/research/institutes-and-centres/riilp---research-institute-in-information-and-lan/) are engaged in high-quality research, as evidenced by the latest RAE 2008 and REF 2014 results.
- We offer an exciting programme of invited lectures and research seminars, attended by both students and staff;
- The institute has a wide network of contacts in academia and in the industry from which you will be able to benefit;
- Find out about Dr. Vinita Nahar’s (past group member) innovative research into technology to detect Cyberbullying online http://www.itv.com/news/central/topic/cyber-bulling/.

How will I be assessed?

Assessments will include writing assignments on given topics, reports on practical work carried out in the class, portfolios, projects, oral presentations, and tests. The culmination of the study programme will be your 15,000-word dissertation, which will allow you to carry out an in-depth study of a chosen topic within the areas of corpus linguistics, language teaching, lexicography, or translation.

What skills will I gain?

The practical sessions include working with tools and software and developing programs based on the material taught in the lectures, allowing you to apply the technical skills you are learning. Some of the tasks are group based, feeding into the collaboration aspect of blended learning which enhances team-working skills, and some are done individually. Through portfolio building, you will be able to share your learning with other students. You will also be able to enhance your employability by sharing your online portfolio with prospective employers. Some assessments will require you to present your work to the rest of the class, enabling you to develop your presentation skills, which are useful in both academia and industry. Other transferable skills are the abilities to structure your thoughts, present your ideas clearly in writing and prepare texts for a wider audience. You will acquire these skills through assessed report and essay writing, and most of all through writing your dissertation.

Career path

Graduates of this course will be well-placed to continue their academic/research careers by applying for PhD positions within RIILP or at other leading centres for language and information processing. This degree will also enable graduates to access research and development positions within the language processing and human language technology industries, as well as in related areas such as translation, software development and information and communication technologies, depending on their specific module choices and dissertation topic. It should be noted that computer programming is a skill that is increasingly sought after by many companies from technological backgrounds and skills gained from this course will place graduates in a good position to take up such posts. Past graduates from this course have also gone on to successful careers specifically within the computer programming industry.

Student comments

"This course allowed me to see all the potential of Natural Language Processing - my favourite topic was Corpus Linguistics."

"I would recommend this course to people interested in linguistics or languages in general to show them that linguistics can also be paired with Computer Science and to those interested in Computer Science, for it could show them a new application to Computer Science."

"I would recommend this course to the individuals who seek to increase their knowledge of Machine Learning and Natural Language Processing. People who want to understand how, say, SIRI works, should join this course."

"Thanks to this course, I know what I want to do in the future; I want to be a Professor of Corpus Linguistics. I have several opportunities for a PhD in the US. I also learnt how to use a few programming languages, which is of great importance nowadays if one wants to find a job."

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This course provides a thorough, methodical and wide-ranging education in digital signal and image processing. The Degree course offers both core taught modules and a substantial individual research project. Read more
This course provides a thorough, methodical and wide-ranging education in digital signal and image processing. The Degree course offers both core taught modules and a substantial individual research project.

Teaching and learning

The course contains both compulsory core taught modules and a substantial individual research project. Four taught modules are delivered in the first semester from September to January, and four taught modules are delivered in the second semester from February to June. Each taught unit is assessed by coursework or laboratory report, with written examinations in January and June.
You will conduct your dissertation project work during summer and submit your final dissertation in September.

Course unit details

Typical course units include:
-Signals and data capture engineering
-Digital image processing
-Digital Communications engineering
-Sensing and transduction
-Digital image engineering
-Tomography engineering and applications

Career opportunities

Digital signals are part of almost every aspect of 21st technology. If you take this course, you will become expert in this area and expose yourself to a world of opportunity respecting careers. You will, for example, be able to perform biomedical signal processing, audio/visual/multimedia engineering, digital waveform synthesis and medical, industrial and military image processing. You will be able to work in the fields of imaging, medical physics, aerospace, telecommunications systems development, mechatronics, robotics, remote sensing and nondestructive testing. Your skills will be highly sought after in organisations that develop systems for these and many related state-of the art disciplines.

This course will not only make you very employable; it will be a very fulfilling and enriching experience.

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This programme introduces students to the central concepts and the analytic techniques in speech science and language processing. Read more
This programme introduces students to the central concepts and the analytic techniques in speech science and language processing. It explores the inherent structure of language and how speech is produced and used in communication, addressing both the theoretical issues and the practical skills needed to analyse and model the processes involved. As the programme is situated at an intersection of disciplines, applicants are invited from a variety of disciplines, including engineering, computer science, linguistics, psychology, speech pathology and related areas. Students take six modules and undertake a research project leading to a 15,000 word dissertation. Four core modules are mandatory and two are elective options.

Core Modules:

Speech Processing 1: spectral analysis
Formal foundations of linguistic theories
Laboratory Phonetics and Phonology
Computational theories of grammar and meaning

The elective courses may include:

History and Globalisation of English
Corpus Linguistics
Technology, Language, and Communication
Speech Production, Hearing and Perception
Advanced Syntactic Theory
Speech Processing 2: acoustic modelling
Bilingualism and the Maintenance of Irish
Multilingualism

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