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The combined specialisation in Neuroscience and Communication provides a thorough multidisciplinary introduction to modern knowledge and current research in the inter-related aspects of neuroscience, speech processing and language impairments where students have completed related previous study which may not include demonstrable experience in theoretical linguistics. Read more
The combined specialisation in Neuroscience and Communication provides a thorough multidisciplinary introduction to modern knowledge and current research in the inter-related aspects of neuroscience, speech processing and language impairments where students have completed related previous study which may not include demonstrable experience in theoretical linguistics.

Degree information

Students take a core set of modules building a foundation to study current issues and research in neuroscience and communication such as neurobioliogy, speech processing, developmental and acquired language disorders and linguistics. In selecting the modules for their specialisation, students will be able to take full advantage of the breadth of expertise in language research in the UCL Division of Psychology & Language Sciences.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), two optional modules (30 credits), a research report (105 credits) and plan (15 credits).

Core modules
-Introduction to the Brain and Imaging the Brain
-Research Methods: Principles, Skills and Applications
-Introduction to Syntax
-Students select two specialisation modules from those below:
-Introduction to Speech Sciences
-Neurobiology of Speech Processing
-Neuroscience of Language
-Seminar in Neurolinguistics

Optional modules - students select two modules from all those offered within UCL Psychology and Language Sciences, subject to availability and agreement with the Programme Director. A list of possible options is listed below:
-Conversation Analysis
-Current Issues in Production, Perception and Neural Processing of Speech
-Deafness - Cognition and Language
-Designing and Analysing an fMRI Experiment
-Developmental Disorders of Language Learning and Cognition
-Developmental Language Disorders and Cognitive Neuroscience
-Introduction to Event-Related Potential Techniques
-Language Acquisition

Not all modules will run every year, some modules may require a minimum number of registered students.

Dissertation/report
All students undertake an independent research project on an aspect of speech, language and cognition which culminates in a research plan of 3,000-6,000 words and a dissertation of 10,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, small-group teaching and a virtual learning environment. Some modules also involve workshops or practical classes. Student performance is assessed through coursework, examinations and the research project.

Careers

The majority of students who graduate from Language Sciences MSc programmes go on to further study or research. Recent graduates have gone on to PhD study in UCL, other UK institutions and overseas institutions. Others have gone to work in related industries (for example in speech technology industries, cochlear implants manufacturers) or in education. The skills that the MSc develops – independent research, presentation skills, statistics – are transferable skills that are very highly sought after outside academia.

Employability
This MSc is full of opportunities for the students to improve reading, writing and communication skills generally. These opportunities include writing essays, oral presentations, critical reading of scientific articles, and group discussion. These skills are critical for success in a wide range of jobs. Likewise, the programme will help to improve critical thinking skills through the critical evaluation of scientific research. This skill is applicable to those careers requiring problem solving. Lastly, the programme provides practical experience in conducting research, which is highly valuable to those interested in pursuing a research career.

Why study this degree at UCL?

The UCL Division of Division of Psychology & Language Sciences undertakes world-leading research and teaching in mind, behaviour, and language. Staff and students benefit from cutting-edge resources including extensive laboratories for research in speech and language, perception, and cognition.

Opportunities for students to work with world-renowned researchers exist in all areas of investigation. The division offers a supportive environment including numerous specialist seminars, workshops, and guest lectures.

The Language Sciences MSc provides the opportunity for in-depth study of one or more areas of the language sciences. The programme is an 'umbrella degree', with a number of specialisation strands that follow a common structure.

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This course is for people with a relevant degree seeking to refocus their studies into the area of speech and language therapy. Read more
This course is for people with a relevant degree seeking to refocus their studies into the area of speech and language therapy. It will enable you to register with the Health and Care Professions Council and the Royal College of Speech and Language Therapists (RCSLT) to practise as a speech and language therapist in the UK.

As a speech and language therapist, you will assess, diagnose and treat children and adults with a wide range of
communication difficulties. This will include developmental disorders and speech and language problems resulting from injury, stroke and disease. You will also develop strong practical skills as well as a sound understanding of the theory of speech and language therapy.

There is a major clinical studies (ie placement) element to this course and clinical work is underpinned by modules
in linguistics, psychology and biological and medical sciences. Although every effort is made to arrange summer
block placements to suit students’ circumstances, this is not always possible and students must be prepared to be
flexible about placement location and timing. Students are responsible for any travel and/or accommodation costs
incurred during placements.

Teaching, learning and assessment

Teaching will include a mix of lectures, tutorials, student-led seminars, clinical placement experience, case study analysis and individual project work. Emphasis will be placed on integrating clinical and university based learning opportunities and on independent study. Your performance will be assessed by a combination of course work including essays, reports, presentations, vivas and examinations, as well as clinical practical assessments.

Teaching hours and attendance

Each module which you study on campus will require you to attend classes and carry out independent work. Your attendance at placement is compulsory and your attendance at QMU-based modules is expected.

Classes will be spread over the whole week, except for placement days when you will be off campus. This is a full-time course, with the expectation that classes, independent study and placement together require 35-40 hours of dedicated time each week.

Links with industry/professional bodies

The course provides graduates, including those who complete the PgDip, with eligibility to register with the Royal College of Speech and Language Therapists and the Health and Care Professions Council to practise in the UK.

Modules

Foundations for Speech and Language Therapy/ Linguistics 1: Introduction to Linguistics/ Neurology for SLT and Audiology/ Adult Acquired Language and Cognitive Communication Disorders/ Linguistics 2: Clinical Linguistics/ Disorders of Speech and Fluency/ Manual Handling/ Dysphagia (Developmental and Acquired)/ Within-Semester Clinical Placement 1/ Professional Practice for SLT 1/ Biological and behavioural Science for SLT: Typical Processes/ Developmental Disorders of Language and Communication/ Intellectual Disability, Physical and Sensory Impairment/ Linguistics 3: Linguistic Processing and Variation/ Within-Semester Clinical Placement 2/ Motor Speech Disorder, Voice Disorder, Cleft Lip and Palate/ Clinical Contexts/ Within-Semester Clinical Placement 3/ Professional Practice 2/ Research Methods

If studying for the MSc, you will also complete a dissertation (60 credits).

Careers

Most graduates work within the NHS in community clinics, schools and hospitals. Some graduates have gained research posts and some have gone on to achieve higher degrees. Some graduate Speech and language therapists may wish to seek employment outside the UK. For further information about how and where this qualification can be used outside of the UK please contact the Royal College of Speech and Language Therapists.

Quick Facts

- The diploma course is the only postgraduate pre-registration course of its kind in Scotland.
- This course is the only one in the UK whereby speech and language therapists and audiologists are in the same department.
- Both these awards qualify you to register to work as a speech and language therapist in the UK.

Other useful information

Entry for International students: NB International applicants should be aware that full registration with the RCSLT entails completion of a probationary period of clinical practice in the UK after the successful completion of the degree. It may be necessary to confirm with the professional body in your home country that this qualification is recognised and that full registration in the UK will entitle you to practice in your home country.

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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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Accredited by the British Computer Society. Turn your fascination with how things work into a successful career in business or industry. Read more

About the course

Accredited by the British Computer Society

Turn your fascination with how things work into a successful career in business or industry. We’ll give you an advanced education in the most up-to-date aspects of computer science and software engineering, informed by our wide-ranging research interests. Innovative project work will teach you how to apply your knowledge in the real world.

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

Object-Oriented Programming and Software Design; Research Methods and Professional Issues; Dissertation Project.

Examples of optional modules

Text Processing; Modelling and Simulation of Natural Systems; Speech Processing; Theory of Distributed Systems; 3D Computer Graphics; Computer Security and Forensics; Testing and Verification in Safety-critical Systems; Intelligent Web; Machine Learning and Adaptive Intelligence; Software and Hardware Verification; Software Development for Mobile Devices; Speech Technology; Virtual Environments and Computer Games Technology; Natural Language Processing; 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.

Read less
Accredited by the British Computer Society. We teach you how to build robust, effective software systems, and how to critique and evaluate the latest software engineering techniques. Read more

About the course

Accredited by the British Computer Society

We teach you how to build robust, effective software systems, and how to critique and evaluate the latest software engineering techniques. Through project work, you’ll learn how to apply your knowledge in the real world.

Genesys: learning on the job

Genesys Solutions is unique: an IT company run by students, with its own premises next to the department. As a student on this course you can join the company to work on software projects for real clients in a real business environment.

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

Object-Oriented Programming and Software Design; Research Methods and Professional Issues; Dissertation Project; Testing and Verification in Safety-Critical Systems.

Examples of optional modules

Text Processing; Modelling and Simulation of Natural Systems; Speech Processing; Theory of Distributed Systems; 3D Computer Graphics; Computer Security and Forensics; Intelligent Web; Machine Learning and Adaptive Intelligence; Software and Hardware Verification; Software Development for Mobile Devices; Speech Technology; Virtual Environments and Computer Games Technology; Natural Language Processing; Java E-Commerce; Network Performance Analysis; Genesys Solutions (Software House) modules.

Teaching and assessment

We use lectures, tutorials and group work. You can also learn on the job in our student- run software engineering and consultancy business, Genesys Solutions. Assessment is by formal examinations, coursework assignments and a dissertation.

Read less
The combined specialisation in Speech and Hearing Sciences provides a thorough multidisciplinary introduction to modern knowledge and current research in the inter related aspects of human spoken communication. Read more
The combined specialisation in Speech and Hearing Sciences provides a thorough multidisciplinary introduction to modern knowledge and current research in the inter related aspects of human spoken communication. It prepares students from different backgrounds for work in the rapidly developing fields of speech and hearing research, and their technological applications.

Degree information

Students take a core set of modules and then have the opportunity to specialise in speech and hearing sciences. In selecting the modules for their specialisation, students will be able to take full advantage of the breadth of expertise in language research in the UCL Division of Psychology & Language Sciences.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (45 credits), three specialisation modules (45 credits), two optional modules (30 credits) and a research project (60 credits).

Core modules
-Introduction to the Brain and Imaging the Brain
-Research Methods: Principles, Skills and Applications
-Students select three specialisation modules from those below:
-Development of Speech Perception and Production
-Introduction to Speech Sciences
-Experimental Phonetics
-Phonetic Theory

Optional modules - students select two modules from all those offered within UCL Psychology & Language Sciences, subject to availability and agreement with the Programme Director. Options include:
-Deafness, Cognition and Language
-Second Language Speech Learning
-Web Programming for Psychology and Language Sciences
-Stuttering
-Advanced topics in Speech Perception
-Current Issues in Production, Perception and Neural Processing of Speech

Not all modules will run every year, some modules may require a minimum number of registered students.

Dissertation/report
All students undertake an independent research project in an area of language science which culminates in a dissertation of 10,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, small-group teaching and a virtual learning environment. Some modules also involve workshops or practical classes. Student performance is assessed through coursework, examinations and the research dissertation.

Careers

The majority of students who graduate from Language Sciences MSc programmes go on to further study or research. Recent graduates have gone on to PhD study in UCL, other UK institutions and overseas institutions. Others have gone to work in related industries (for example in speech technology industries, cochlear implants manufacturers) or in education. The skills that the MSc develops – independent research, presentation skills, statistics – are transferable skills that are very highly sought after outside academia.

Why study this degree at UCL?

The UCL Division of Psychology & Language Sciences undertakes world-leading research and teaching in mind, behaviour, and language. Staff and students benefit from cutting-edge resources including extensive laboratories for research in speech and language, perception, and cognition.

Opportunities for students to work with world-renowned researchers exist in all areas of investigation. The division offers a supportive environment including numerous specialist seminars, workshops, and guest lectures.

The Language Sciences MSc provides the opportunity for in-depth study of one or more areas of the language sciences. The programme is an 'umbrella degree', with a number of specialisation strands that follow a common structure.

Read less
This is a twelve-month MPhil programme, taught from within our Information Engineering Division, with a unique, joint emphasis on both machine learning and on speech and language technology. Read more
This is a twelve-month MPhil programme, taught from within our Information Engineering Division, with a unique, joint emphasis on both machine learning and on speech and language technology. The course aims: to teach the state of the art in machine learning, speech and language processing; to give students the skills and expertise necessary to take leading roles in industry; to equip students with the research skills necessary for doctoral study.

See the website http://www.graduate.study.cam.ac.uk/courses/directory/egegmpmsl

Course detail

By the end of the programme, students will have acquired:

- a knowledge of the fundamental techniques in machine learning and how to apply these techniques to a range of practical problems;
- a deep understanding of the fundamental problems in speech and language processing and the technologies that form the current state-of-the art;
- a comprehensive understanding of techniques, and a thorough knowledge of the literature, applicable to the area of their chosen research topic;
- presentation skills through presenting their research in progress;
- the methodological and other technical skills necessary for research in their chosen area;
- the ability to critically assess the technical literature in machine learning and speech and language processing and related topics;
- directly marketable skills in computing, speech and language processing, machine learning, and the data sciences;
- collaborative skills through working with other students on the practical exercises and with PhD students and Research Assistants while carrying out their research project;
- experience in large-scale computing for machine learning and speech and language processing;
- an understanding of how to define and conduct a research project.

Format

Students will spend the Michaelmas and Lent terms undertaking taught course modules. There will be an equivalent of ten 'full' core modules (ie, equivalent to a 16 lecture course), in addition to an elective option which can be chosen from a broad variety of modules. From mid-Lent term through the end of the course, students will conduct a substantial research project leading to a dissertation.

The taught modules will be in a range of styles: traditional lecture courses, lecture courses with associated practical classes, reading clubs, and seminar style modules. The course will emphasize coursework in several of the taught modules. Software projects aimed at implementing algorithms and modelling methods will be central to the practical modules and the research project.

Students can expect to receive reports at least termly on the Cambridge Graduate Supervision Reporting System. They will receive comments on items of coursework, and will have access to a University supervisor for their dissertation. All students will also have personal access to the Course Director and the other staff delivering the course.

Assessment

Students will write a dissertation of no more than 15,000 words. An oral presentation will be compulsory, and will contribute to the assessment of the dissertation.

Several of the core courses are examined wholly or mainly through coursework. Some elective options will also be examined through coursework.

Several of the core courses are examined wholly or mainly through written examination. Some of the elective options will also be examined through written examination.

At the discretion of the Examiners, candidates may be required to take an additional oral examination on the work submitted during the course, and on the general field of knowledge within which it falls.

Continuing

Students wishing to apply for continuation to the PhD would normally be expected to attain an overall mark of 70%.

How to apply: http://www.graduate.study.cam.ac.uk/applying

Funding Opportunities

There are no specific funding opportunities advertised for this course. For information on more general funding opportunities, please follow the link below.

General Funding Opportunities http://www.graduate.study.cam.ac.uk/finance/funding

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As a postgraduate researcher in Speech and Language Sciences you will carry out a major research project working with supervisors who are experts in your field. Read more
As a postgraduate researcher in Speech and Language Sciences you will carry out a major research project working with supervisors who are experts in your field.

We offer expert supervision in the following research areas:
-Links between the production and perception of speech
-Monolingual/bilingual speech and language development in children for a range of language(s), particularly Arabic
-Early years policy with a focus on language and communication
-Relation of socio-economic factors to language development
-Assessment, diagnosis and intervention for speech, language and communication impairment, including: primary speech and language impairment in children (including specific language impairment); verb and sentence processing deficits in people with aphasia; memory disorders following stroke; effectiveness of interventions for speech and language impairments; the psycholinguistics of word production; computational modelling of word retrieval

Our website provides further information on research areas. Our supervisors' current research interests, projects and publications are available from our staff profiles. The majority of our staff have hands-on professional experience in speech and language therapy, teaching, or English language teaching prior to entering academia.

We advise that you contact Carolyn Letts, Director of Postgraduate Research, or a member of our staff as a potential supervisor before applying. You will be asked to submit a short research proposal (1000 words max).

Delivery

Your attendance at Newcastle is flexible, depending on your field work or if you are away collecting data. You will have regular meetings with your supervisory team, supported by email and Skype.

You can choose to enter the annual competition for ESRC funded studentships through the ESRC Northern Ireland/North East (NINE) Doctoral Training Partnership. You should contact us well in advance of the February deadline if you are planning to apply.

You will be based in the School of Education, Communication and Language Sciences, which is very diverse with a high number of international students. You will have opportunities to attend seminars across the disciplines of speech and language sciences, education and applied linguistics and to engage with staff and fellow-students from all over the world. Many of our students already have well-developed professional careers and are inspired to explore research questions arising from their experience.

If you are based in the UK and wish to maintain your professional employment, part time study is a flexible option.

Our links with research centres and institutes provide opportunities for collaboration and cross-disciplinary seminars and interest groups. Our most important connections are with:
-Institute for Health and Society
-Centre for Research in Linguistics and Language Studies
-Centre for Research in Learning and Teaching

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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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If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, this Masters is for you. The programme is offered by Surrey's Department of Electrical and Electronic Engineering, recognised for world-leading research in multimedia signal processing and machine learning. Read more
If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, this Masters is for you.

The programme is offered by Surrey's Department of Electrical and Electronic Engineering, recognised for world-leading research in multimedia signal processing and machine learning.

PROGRAMME OVERVIEW

This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning.

State-of-the-art computer-vision and machine-learning approaches for image and video analysis are covered in the course, as well as low-level image processing methods.

Students also have the chance to substantially expand their programming skills through projects they undertake.

PROGRAMME STRUCTURE

This programme is studied full-time over 12 months and part-time over 48 months. It consists of eight taught modules and a standard project.

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Digital Signal Processing A
-Object Oriented Design and C++
-Image Processing and Vision
-Space Robotics and Autonomy
-Satellite Remote Sensing
-Computer Vision and Pattern Recognition
-AI and AI Programming
-Advanced Signal Processing
-Image and Video Compression
-Standard Project

EDUCATIONAL AIMS OF THE PROGRAMME

The taught postgraduate degree programmes of the Department of Electronic Engineering are intended both to assist with professional career development within the relevant industry and, for a small number of students, to serve as a precursor to academic research.

Our philosophy is to integrate the acquisition of core engineering and scientific knowledge with the development of key practical skills (where relevant). To fulfil these objectives, the programme aims to:
-Attract well-qualified entrants, with a background in Electronic Engineering, Physical Sciences, Mathematics, Computing and Communications, from the UK, Europe and overseas.
-Provide participants with advanced knowledge, practical skills and understanding applicable to the MSc degree
-Develop participants' understanding of the underlying science, engineering, and technology, and enhance their ability to relate this to industrial practice
-Develop participants' critical and analytical powers so that they can effectively plan and execute individual research/design/development projects
-Provide a high level of flexibility in programme pattern and exit point
-Provide students with an extensive choice of taught modules, in subjects for which the Department has an international and UK research reputation

Intended capabilities for MSc graduates
-Know, understand and be able to apply the fundamental mathematical, scientific and engineering facts and principles that underpin computer vision, machine learning as well as how they can be related to robotics
-Be able to analyse problems within the field computer vision and more broadly in electronic engineering and find solutions
-Be able to use relevant workshop and laboratory tools and equipment, and have experience of using relevant task-specific software packages to perform engineering tasks
-Know, understand and be able to use the basic mathematical, scientific and engineering facts and principles associated with the topics within computer vision, machine learning
-Be aware of the societal and environmental context of his/her engineering activities
-Be aware of commercial, industrial and employment-related practices and issues likely to affect his/her engineering activities
-Be able to carry out research-and-development investigations
-Be able to design electronic circuits and electronic/software products and systems

Technical characteristics of the pathway
This programme in Computer Vision, Robotics and Machine Learning aims to provide a high-quality advanced training in aspects of computer vision for extracting information from image and video content or enhancing its visual quality using machine learning codes.

Computer vision technology uses sophisticated signal processing and data analysis methods to support access to visual information, whether it is for business, security, personal use or entertainment. The core modules cover the fundamentals of how to represent image and video information digitally, including processing, filtering and feature extraction techniques.

An important aspect of the programme is the software implementation of such processes. Students will be able to tailor their learning experience through selection of elective modules to suit their career aspirations.

Key to the programme is cross-linking between core methods and systems for image and video analysis applications. The programme has strong links to current research in the Department of Electronic Engineering’s Centre for Vision, Speech and Signal Processing.

PROGRAMME LEARNING OUTCOMES

The Department's taught postgraduate programmes are designed to enhance the student's technical knowledge in the topics within the field that he/she has chosen to study, and to contribute to the Specific Learning Outcomes set down by the Institution of Engineering and Technology (IET) (which is the Professional Engineering body for electronic and electrical engineering) and to the General Learning Outcomes applicable to all university graduates.

General transferable skills
-Be able to use computers and basic IT tools effectively
-Be able to retrieve information from written and electronic sources
-Be able to apply critical but constructive thinking to received information
-Be able to study and learn effectively
-Be able to communicate effectively in writing and by oral presentations
-Be able to present quantitative data effectively, using appropriate methods

Time and resource management
-Be able to manage own time and resources
-Be able to develop, monitor and update a plan, in the light of changing circumstances
-Be able to reflect on own learning and performance, and plan its development/improvement, as a foundation for life-long learning

Underpinning learning
-Know and understand scientific principles necessary to underpin their education in electronic and electrical engineering, to enable appreciation of its scientific and engineering content, and to support their understanding of historical, current and future developments
-Know and understand the mathematical principles necessary to underpin their education in electronic and electrical engineering and to enable them to apply mathematical methods, tools and notations proficiently in the analysis and solution of engineering problems
-Be able to apply and integrate knowledge and understanding of other engineering disciplines to support study of electronic and electrical engineering

Engineering problem-solving
-Understand electronic and electrical engineering principles and be able to apply them to analyse key engineering processes
-Be able to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques
-Be able to apply mathematical and computer-based models to solve problems in electronic and electrical engineering, and be able to assess the limitations of particular cases
-Be able to apply quantitative methods relevant to electronic and electrical engineering, in order to solve engineering problems
-Understand and be able to apply a systems approach to electronic and electrical engineering problems

Engineering tools
-Have relevant workshop and laboratory skills
-Be able to write simple computer programs, be aware of the nature of microprocessor programming, and be aware of the nature of software design
-Be able to apply computer software packages relevant to electronic and electrical engineering, in order to solve engineering problems

Technical expertise
-Know and understand the facts, concepts, conventions, principles, mathematics and applications of the range of electronic and electrical engineering topics he/she has chosen to study
-Know the characteristics of particular materials, equipment, processes or products
-Have thorough understanding of current practice and limitations, and some appreciation of likely future developments
-Be aware of developing technologies related to electronic and electrical engineering
-Have comprehensive understanding of the scientific principles of electronic engineering and related disciplines
-Have comprehensive knowledge and understanding of mathematical and computer models relevant to electronic and electrical engineering, and an appreciation of their limitations
-Know and understand, at Master's level, the facts, concepts, conventions, principles, mathematics and applications of a range of engineering topics that he/she has chosen to study
-Have extensive knowledge of a wide range of engineering materials and components
-Understand concepts from a range of areas including some from outside engineering, and be able to apply them effectively in engineering projects

Societal and environmental context
-Understand the requirement for engineering activities to promote sustainable development
-Relevant part of: Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk issues
-Understand the need for a high level of professional and ethical conduct in engineering

Employment context
-Know and understand the commercial and economic context of electronic and electrical engineering processes
-Understand the contexts in which engineering knowledge can be applied (e.g. operations and management, technology development, etc.)
-Be aware of the nature of intellectual property
-Understand appropriate codes of practice and industry standards
-Be aware of quality issues
-Be able to apply engineering techniques taking account of a range of commercial and industrial constraints
-Understand the basics of financial accounting procedures relevant to engineering project work
-Be able to make general evaluations of commercial risks through some understanding of the basis of such risks
-Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk) issues

Research and development
-Understand the use of technical literature and other information sources
-Be aware of the need, in appropriate cases, for experimentation during scientific investigations and during engineering development
-Be able to use fundamental knowledge to investigate new and emerging technologies
-Be able to extract data pertinent to an unfamiliar problem, and employ this data in solving the problem, using computer-based engineering tools when appropriate
-Be able to work with technical uncertainty

Design
-Understand the nature of the engineering design process
-Investigate and define a problem and identify constraints, including environmental and sustainability limitations, and health and safety and risk assessment issues
-Understand customer and user needs and the importance of considerations such as aesthetics
-Identify and manage cost drivers
-Use creativity to establish innovative solutions
-Ensure fitness for purpose and all aspects of the problem including production, operation, maintenance and disposal
-Manage the design process and evaluate outcomes
-Have wide knowledge and comprehensive understanding of design processes and methodologies and be able to apply and adapt them in unfamiliar situations
-Be able to generate an innovative design for products, systems, components or processes, to fulfil new needs

Project management
-Be able to work as a member of a team
-Be able to exercise leadership in a team
-Be able to work in a multidisciplinary environment
-Know about management techniques that may be used to achieve engineering objectives within the commercial and economic context of engineering processes
-Have extensive knowledge and understanding of management and business practices, and their limitations, and how these may be applied appropriately

FACILITIES, EQUIPMENT AND SUPPORT

To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.

We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.

Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).

CAREER PROSPECTS

Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields such as:
-Multimedia indexing and retrieval (Google, Microsoft, Apple)
-Motion capture (Foundry)
-Media production (BBC, Foundry)
-Medical Imaging (Siemens)
-Security and Defence (BAE, EADS, Qinetiq)
-Robotics (SSTL)

Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.

Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies.

Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.

Our graduates are employed by companies across the electronics, information technology and communications industries. Recent employers include:
-BAE Systems
-BT
-Philips
-Hewlett Packard
-Logica
-Lucent Technologies
-BBC
-Motorola
-NEC Technologies
-Nokia
-Nortel Networks
-Red Hat

INDUSTRIAL COLLABORATIONS

We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
-Research and technology transfer projects with industrial partners such as the BBC, Foundry, LionHead and BAE
-A number of our academics offer MSc projects in collaboration with our industrial partners

RESEARCH PERSPECTIVES

This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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Biomedical signals provide useful metrics in a wide range of health care scenarios. However, these signals are often affected by noise and require extensive signal processing to extract useful clinical diagnostic metrics. Read more
Biomedical signals provide useful metrics in a wide range of health care scenarios. However, these signals are often affected by noise and require extensive signal processing to extract useful clinical diagnostic metrics. Current signal processing techniques are either fixed by design or adaptive to variations known a priori. However, because of normal physiological variation, the characteristics of these signals are often non-stationary and more robust adaptive signal processing techniques are required to track many types of biomedical signals. As a clinical example, complications of the diabetic foot result in 20 lower limb amputations per day in the UK. The problem is exacerbated by the vascular and neurological damage that occurs in the diabetic foot, and the consequent loss of feeling results in trauma being unnoticed. Previous work by the principal investigator has demonstrated the efficacy of detecting the pre-cursors of ulceration through non-invasive measurement of blood flow using optical and ultrasonic techniques. However, extensive signal processing is required to convert the signals into a clinically interpretable form and lengthy analysis and clinical expertise was required to make the clinical diagnosis. If clinical diagnostics can be made to operate reliably in real-time preventative measures could be taken before ulceration occurs.

Recent advances in machine learning offer potential for artificially intelligent adaptive signal processing algorithms to track time varying biomedical signals and provide real-time detection of physiological abnormalities in at risk patients. This will allow for more rapid detection of physiological abnormalities allowing preventative measures to be applied early reducing the risk of more serious complications.

How to apply: Applications are made via our website using the Apply Online button below. If you have an enquiry about this project please contact us via the Email NOW button below, however your application will only be processed once you have submitted an application form as opposed to emailing your CV to us. Application deadline: 24 July 2017.

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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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Accredited by the British Computer Society. If your first degree is in another subject but you want a career in computing, this course is for you. Read more

About the course

Accredited by the British Computer Society

If your first degree is in another subject but you want a career in computing, this course is for you. It will give you a solid grounding in software systems engineering and current topics in internet computing.

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

Foundations of Object-Oriented Programming; Advanced Java Programming; Network and Internetwork Architectures; Java E-Commerce; Human-Centred Systems Design; Web Technologies.

Teaching and assessment

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

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The combined specialisation in language development provides a thorough multidisciplinary introduction to modern knowledge and current research in the inter-related aspects of human spoken communication. Read more
The combined specialisation in language development provides a thorough multidisciplinary introduction to modern knowledge and current research in the inter-related aspects of human spoken communication. It prepares students from different backgrounds for work in the rapidly developing fields of language development research, and their technological applications.

Degree information

Students take a core set of modules building a foundation to study current issues and research in the language sciences, specialising in language development. In selecting the modules for their specialisation, students will be able to take full advantage of the breadth of expertise in language research in the UCL Division of Psychology & Language Sciences.

Students undertake modules to the value of 180 credits.

The programme consists of two mandatory modules (45 credits), three specialisation modules (45 credits), two optional modules (30 credits) and a research project (60 credits).

Mandatory modules
-Introduction to the Brain and Imaging the Brain
-Research Methods: Principles, Skills and Applications
-Students select three specialisation modules from those below:
-Developmental Language Disorders and Cognitive Neuroscience
-Developmental Disorders of Language, Learning and Cognition
-Development of Speech Perception and Production
-Language Acquisition
-Introduction to Children's Language Development
-Semantic and Pragmatic Development

Optional modules - students select two modules from all those offered within UCL Psychology and Language Sciences, subject to availability and agreement with the Programme Director. A list of possible options is listed below:
-Neuroscience of Language
-Deafness - Cognition and language
-Speech Processing
-Conversation Analysis
-Second Language Speech Learning
-Phonetic Theory
-Foundations of Linguistics
-Issues in Pragmatics
-Current Issues in Syntax
-Stuttering

Not all modules will run every year, some modules may require a minimum number of registered students.

Dissertation/report
All students undertake an independent research project in an area of Language Science which culminates in a dissertation of 10,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, small-group teaching and a virtual learning environment. Some modules also involve workshops or practical classes. Student performance is assessed through coursework, examinations and the research project.

Careers

The majority of students who graduate from Language Sciences MSc programmes go on tho further study or research. Recent graduates have gone on to PhD study in UCL, and in other UK and overseas institutions. Others have gone to work in related industries (for example in speech technology industries, cochlear implants manufacturers) or in education. The skills that the MSc develops - independent research, presentation skills, and statistics - are transferable skills that are very highly sought after outside academia.

Top career destinations for this degree:
-Speech and Language Therapist, Kanton Aaargau, Switzerland
-PhD Biomedical Science- Speech and Hearing, Harvard University
-Speech and Language Therapist, West London Mental Health NHS Trust
-Speech and Language Therapist, Whitting Health Foundation Trust
-PGCE Early Years Teaching, Canterbury Christ Church University

Why study this degree at UCL?

The UCL Division of UCL Psychology & Language Sciences undertakes world-leading research and teaching in mind, behaviour, and language. Staff and students benefit from cutting-edge resources including extensive laboratories for research in speech and language, perception, and cognition.

Opportunities for students to work with world-renowned researchers exist in all areas of investigation. The division offers a supportive environment including numerous specialist seminars, workshops, and guest lectures.

The Language Sciences MSc provides the opportunity for in-depth study of one or more areas of the language sciences. The programme is an 'umbrella degree', with a number of specialisation strands that follow a common structure.

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This interdisciplinary MRes is aimed at applicants whose interest in language spans more than one discipline. Read more
This interdisciplinary MRes is aimed at applicants whose interest in language spans more than one discipline. Building on a first degree in linguistics, speech sciences, psychology, cognitive science, or a cognate discipline, students plan their own programme of study, selecting from a range of courses in several different UCL departments.

Degree information

Students are introduced to academic and key skills essential for all fields of research in Speech, Language and Cognition, gain research training with relevant supervisors from the UCL Centre for Human Communication, and are able to assess and critically appraise theoretical and applied research relevant to speech, language and cognition.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), four options (30 credits), a research project (105 credits) and plan (15 credits).

Core modules
-Foundation Course in Research
-Research Methods
-Theoretical Frameworks
-Research Plan

Optional modules - as part of Theoretical Frameworks, students follow teaching in a total of four modules across the Division of Psychology and more widely at UCL. These modules are chosen from at least two from the following fields of study:
-Auditory Processing
-Speech Processing: Perception and Production
-Phonetics and Phonology
-Syntax and Morphology
-Semantics and Pragmatics
-Language Development
-Language Processing and Pathology
-Cognition and Communication
-Neurobiology of Language
-Theory Construction and Modelling

There is no set list for these modules and students will choose modules which complement their intended research in consultation with the Programme Director.

Dissertation/report
All students undertake an independent research project on an aspect of speech, language and cognition which culminates in a research plan of 3,000–6,000 words and a dissertation of 10,000 words.

Teaching and learning
The programme is delivered through a combination of small group teaching, seminars, student-led research tutorials, self-study materials, supervised laboratory placement, lectures and computer-based practical classes. It is largely assessed by coursework, with only the statistics component being assessed by exam. The research project is assessed by dissertation.

Careers

A large proportion of our students go on to study for a PhD and pursue a career in academia. The MRes is excellent preparation for a PhD degree and we have been very successful at getting candidates onto funded programmes. A number of graduates have returned to clinical practice as specialised speech and language therapists, or have gone on to work as researchers. Others go on to work in other fields ranging from business to education. The skills that the MRes develops – independent research, presentation skills, and statistics – are very highly sought-after outside academia.

Top career destinations for this degree:
-Teacher, Queen Mary University of London (QML)
-Researcher, University of Cambridge and studying PhD Autism, University of Cambridge
-PhD Researcher, Universiteit van Amsterdam (University of Amsterdam)
-MPhil/PhD Speech Hearing and Phonetic Sciences, University College London (UCL)
-PhD Education, University of Oxford

Why study this degree at UCL?

UCL Psychology & Language Sciences undertakes world-leading research and teaching in mind, behaviour, and language.

Our work attracts staff and students from around the world. Together they create an outstanding and vibrant environment, taking advantage of cutting-edge resources such as a behavioural neuroscience laboratory, a centre for brain imaging, and extensive laboratories for research in speech and language, perception, and cognition.

Opportunities for graduate students to work with world-renowned researchers exist in all areas of investigation, from basic processes to applied research. The division offers a supportive environment including numerous specialist seminars, workshops, and guest lectures.

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