Masters Degrees (Vision)

Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. The automation of visual processing (ie computer vision) has many applications in the modern world including medical imaging for better diagnosis, surveillance systems to improve security and safety, industrial and domestic robotics plus advanced interfaces for computer games, mobile phones and human-computer interfaces. The possibilities are only limited by our imagination.

Key features
-The unique combination of computer vision and embedded systems skills is highly desirable in state-of-the-art industrial applications.
-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to work on your project dissertation in the internationally recognised Digital Imaging Research Centre with groups on visual surveillance, human body motion, medical imaging and robotics and being involved in national and international projects or in collaboration with our industrial contacts.

What will you study?

The Embedded Systems (Computer Vision) pathway will equip you with the knowledge and skills required to specify and build computer vision embedded systems, choosing from different imaging devices and applying software that can process and understand images. You will study a range of option modules encompassing computing, engineering and digital media processing. It may also be possible for you to undertake a real-world project in an industrial placement or as part of high-quality research working alongside DIRC (Digital Imaging Research Centre) groups (eg visual surveillance, human body motion analysis, robotics, medical imaging).

The Embedded Systems (Computer Vision) MSc course can be combined with Management Studies enabling you to develop business and management skills so you can work effectively with business managers to develop innovative and imaginative ways to exploit computer vision and embedded systems for business advantage. This is a key skill for employability, particularly as organisations in the public, private and voluntary sectors grapple with austerity.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.

-The work placement, up to 12 months; is optional.
-The work placement takes place after postgraduate students have successfully completed the taught portion of their degree.
-The responsibility for finding the placement is with the student. We cannot guarantee the placement, just the opportunity to undertake it.
-As the work placement is an assessed part of the course for international students, this is covered by a student's tier 4 visa.

Details on how to apply will be confirmed shortly.

Course structure

The full MSc course consists of an induction programme, four taught modules, and project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.

Embedded Systems (Computer Vision) MSc modules
-Digital Signal Processing
-Real-time Programming
-Artificial Vision Systems
-Project Dissertation
-One option module

Embedded Systems (Computer Vision) with Management Studies MSc modules
-Digital Signal Processing
-Real-time Programming
-Artificial Vision Systems
-Business in Practice
-Project Dissertation

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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.

Read about the experience of a previous student on this course, Gianmarco Addari.

Programme structure

This programme is studied full-time over 12 months and part-time from 24 to 60 months. It consists of eight taught modules and a standard project. 

Example module listing

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 Deep Learning
• 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

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.

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.

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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Computer vision and imaging is the exciting science and technology of machines that see, concerned with building artificial systems that obtain information from images that are derived from a range of sources. This MSc in Computing with Vision and Imaging teaches you the skills necessary to undertake work in this ever-evolving field.

Why study at Dundee?

Computer vision and imaging is a rapidly expanding field with plenty of real-life applications and opportunities. Here at Dundee, we encourage a professional, inter-disciplinary and user-centred approach to computer systems design and production.

Application areas include:
controlling processes - e.g. an industrial robot or an autonomous vehicle
detecting events - e.g. for visual surveillance or people counting
organising information - e.g. for indexing databases of images and image sequences
modelling objects or environments - e.g. for industrial inspection
medical image analysis
topographical modelling

You will acquire skills in computer vision, inference, algorithmic underpinnings of computer vision systems, how images and signals are formed, filter, compressed and analysed, and how multiple images can be combined.

Throughout this course, you will also develop the necessary skills to undertake independent research and participate in proposal development and innovation - an excellent grounding for many future careers.

What's Great about studying at Dundee?

Research-led teaching:
Teaching at Dundee is research-led, meaning that the MSc programme benefits from association with cutting-edge research of international standard and its commercial applications.

We also have an active Computer Vision and Image Processing research group. Our Vision and Imaging students are involved in a number of http://www.computing.dundee.ac.uk/projects/vision/projects.php, and have been involved with a number of completed research projects like ACTIVE, a project concerning adaptive interfaces for the operation of secondary controls in motor vehicles using pointing gestures and virtual dashboards.

Links with industry

The School of Computing collaborates with, and has links to, companies such as IBM, NCR and Oracle.

Our facilities

You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

Postgraduate culture

The School of Computing maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students - you're far more than just a matriculation number to us. We have a thriving postgraduate department with regular seminars and guest speakers.

What you will study

You select seven taught modules, three per semester, during the period September-April. You will make module selections with your advisor.

Semester 1 (Sept-Dec):
Probabilistic Inference and Learning
Signals and Images

Plus two from:
Technology Innovation Management
Computer Graphics
Logical Inference & Symbolic Reasoning
Information Theory

Semester 2 (Jan-Mar):
Vision and Perception
Research Methods

Plus one from:
Computing Research Frontiers
Multi-agent Systems & Grid Computing

Subject to examination performance, you then progress to the MSc project which runs from May to September, or to a Diploma project lasting 9 weeks.

Please note that some of the modules in the programme are shared with other masters programmes and some of the teaching and resources may be shared with our BSc programme. These joint classes offer a valuable opportunity to learn from, and discuss the material with, other groups of students with different backgrounds and perspectives.

How you will be assessed

The taught modules are assessed by continuous assessment plus end of semester examinations in December and March/April. The project is assessed by dissertation.

Computing coursework is often very practical, e.g. writing computer programs, designing interfaces, writing reports, constructing web sites, testing software, implementing databases, analysing problems or presenting solutions to clients.

Careers

The knowledge, skills and understanding that you will gain in the areas of computer vision, inference and learning will enable you to work effectively in the application of video and image-based computing - whether you choose industry, commerce or research.

Computing at the University of Dundee is ranked 21st in the UK according to most recent Times Good University Guide and 12th in the UK according to the Guardian University League Table 2009. The University of Dundee has powered its way to a position as one of Scotland's leading universities with an international reputation for excellence across a range of activities. With over 18,000 students, it is growing fast in both size and reputation. It has performed extremely well in both teaching and research assessment exercises, has spawned a range of spin-out companies to exploit its research and has a model wider-access programme.

Dundee has been described as the largest village in Scotland which gives an indication of how friendly and compact it is. With a population of 150,000 it is not too large but has virtually all the cultural and leisure activities you would expect in a much larger city. It is situated beside a broad estuary of the river Tay, surrounded by hills and farmland, and for lovers of the great outdoors it is hard to imagine another UK location that offers so much all year round on land and water. The University is situated in the centre of Dundee, and everything needed is on the one-stop campus: study facilities, help, advice, leisure activities... yet the attractions of the city centre and the cultural quarter are just a stroll away.

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Vision is the most useful sense we possess and as such accounts for about 30% of the sensing processing of the brain. The automation of visual processing (ie computer vision) has many applications in the modern world including medical imaging for better diagnosis, surveillance systems to improve security and safety, industrial and domestic robotics plus advanced interfaces for computer games, mobile phones and human-computer interfaces. The possibilities are only limited by our imagination.

Key features
-The unique combination of computer vision and embedded systems skills is highly desirable in state-of-the-art industrial applications.
-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to work on your project dissertation in the internationally recognised Digital Imaging Research Centre with groups on visual surveillance, human body motion, medical imaging and robotics and being involved in national and international projects or in collaboration with our industrial contacts.

What will you study?

The Embedded Systems (Computer Vision) pathway will equip you with the knowledge and skills required to specify and build computer vision embedded systems, choosing from different imaging devices and applying software that can process and understand images. You will study a range of option modules encompassing computing, engineering and digital media processing. It may also be possible for you to undertake a real-world project in an industrial placement or as part of high-quality research working alongside DIRC (Digital Imaging Research Centre) groups (eg visual surveillance, human body motion analysis, robotics, medical imaging).
The Embedded Systems (Computer Vision) MSc course can be combined with Management Studies enabling you to develop business and management skills so you can work effectively with business managers to develop innovative and imaginative ways to exploit computer vision and embedded systems for business advantage. This is a key skill for employability, particularly as organisations in the public, private and voluntary sectors grapple with austerity.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.

-The work placement, up to 12 months; is optional.
-The work placement takes place after postgraduate students have successfully completed the taught portion of their degree.
-The responsibility for finding the placement is with the student. We cannot guarantee the placement, just the opportunity to undertake it.
-As the work placement is an assessed part of the course for international students, this is covered by a student's tier 4 visa.

Details on how to apply will be confirmed shortly.

Course structure

The full MSc course consists of an induction programme, four taught modules, and project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.

Embedded Systems (Computer Vision) MSc modules
-Digital Signal Processing
-Real-time Programming
-Artificial Vision Systems
-Project Dissertation
-One option module

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Our MSc course in Investigative Ophthalmology and Vision Sciences brings together the research expertise in vision from The University of Manchester and Manchester Royal Eye Hospital.

This course will provide you with a firm grounding in the knowledge needed to pursue a higher degree and to conduct high quality research in ophthalmology, optometry or vision sciences. It also gives an opportunity for vision-related professionals to advance their knowledge of the scientific foundations of ophthalmology and vision sciences.

The course is aimed at optometrists, ophthalmologists, orthoptists and nurses from the UK and overseas. It is suitable for:
-Individuals who are considering undertaking a research degree in the vision sciences
-Those interested in professional development
-Those interested in conducting research as part of their clinical training
-Ophthalmologists wishing to expand and extend their training into specialist areas
-Optometrists considering a career in the hospital eye service

Teaching and learning

The course has two different pathways:
1. Six taught units (15 credits each) and a project dissertation (90) credits.
2. Four taught units (15 credits each), a literature review (30 credits) and a dissertation (90 credits).

The six units are Research Methods, Cornea, Contact Lens, Vascular Disease, Macular Degeneration and Glaucoma.

In each of the units, learning will be based on a series of formal lectures on topics relating to ocular disease and treatments, and a series of more informal tutorials on current research. You will receive copies of presentations and direction to relevant literature for personal study.

Many projects have led to peer reviewed publications in the ophthalmic literature. Recent titles include the following:
-Optical coherence tomography measures of the retinal nerve fibre layer
-Development of a model cell assay to investigate the cellular processing of ARB mutant bestrophin-1
-Risk factors for late presentation of patients with primary open angle glaucoma
-Molecular analysis of autosomal recessive retinal dystrophies
-In vivo analysis of the wettability of silicon hydrogel contact lenses
-Can corneal densitometry be used to assess the treatment outcome after corneal transplantation
-A contact lens based technique delivering cultured stem cells onto the human corneal surface
-The use of corneal imaging to assessing treatment outcomes of LASIK and LASEK
-Addressing the physiological cues needed for trans-differentiation of dental pulp stem cells into limbal stem cells

Coursework and assessment

Assessment is via:
-Written examinations in January and May
-Coursework set during the taught units
-A research project dissertation

Career opportunities

This course is aimed at optometrists, ophthalmologists, orthoptists and nurses from the UK and overseas.

It is considered suitable for:
-Individuals interested in vision sciences
-Those interested in conducting research as part of their clinical training
-Optometrists considering a career in the hospital eye service
-Those interested in an academic career in ophthalmology/optometry/vision sciences
-Optometrists interested in professional development

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Developed by the Bristol Robotics Laboratory, this Masters gives students unique exposure to world-leading robotics research, real-life automation and computer vision projects, and the opportunity for placements in UK companies to work on topical industry problems.

The last 20 years have seen a phenomenal growth in the development and application of computer and machine vision technology. With increasingly complex applications across diverse areas, including manufacturing, security and medicine, there is a growing need for professionals who can evaluate, design and implement technically appropriate and economically viable automation systems for enhancing quality and productivity.

The MSc in Automation and Computer Vision at UWE Bristol is one of the very few postgraduate courses that brings together both of these disciplines into one industry-focused, research-informed Masters.

Key benefits

Some students may be able to do an industry placement as part of their dissertation. Projects will be focused on real problems companies are working on. Those that don't go down the industry route will work at UWE Bristol on a topical research problem.

Course detail

The course provides a unique combination of these two overlapping disciplines, with a strong emphasis on robotics hardware for solving 'real-world' problems. You will develop both the technical knowledge and the business skills needed to introduce advanced automation and machine vision techniques in the workplace.

You will also benefit from the University's close links with industry, with guest lectures on many modules and the chance to work on real-life automation and computer vision projects.

Modules

• Automation and Control (30 credits)
• Machine Vision (30 credits)
• Managing finance (15 credits)
• Project management (15 credits)
• Industrial applications (15 credits)
• Industrial case studies (15 credits)

You will also work on an individual project (60 credits), which forms a major part of the course and gives you the chance to work on real-world research or industry projects

Format

Alongside the strong industry-focus of the course, you will have the opportunity to be part of, and work on, projects in the world-leading Bristol Robotics Laboratory, which brings together influential researchers in service robotics, autonomous systems and bio-engineering.

For those already working, we offer this course as a work-based learning course, as well as a standard full or part-time Masters. Employees of relevant industries can attend part of the course to supplement their existing skills or to be assessed on their current skills and knowledge of these highly topical subject areas.

Assessment

We will make use of a range of types of assessment on the course, including written exams, oral assessments and presentations, reports and project work and written assignments.

Careers / Further study

The course is a good grounding for wider careers in engineering, science, information technology, management and medical imaging. For those wishing to pursue further study, the course is also good preparation for a career in academia or research in fields such as computer vision, robotics, medical imaging, or more general engineering, science and information technology.

How to apply

Information on applications can be found at the following link: http://www1.uwe.ac.uk/study/applyingtouwebristol/postgraduateapplications.aspx

Funding

- New Postgraduate Master's loans for 2016/17 academic year –

The government are introducing a master’s loan scheme, whereby master’s students under 60 can access a loan of up to £10,000 as a contribution towards the cost of their study. This is part of the government’s long-term commitment to enhance support for postgraduate study.

Scholarships and other sources of funding are also available.

More information can be found here: http://www1.uwe.ac.uk/students/feesandfunding/fundingandscholarships/postgraduatefunding.aspx

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The programme comprises of taught modules on research methodologies and skills development in key areas such as scientific writing, critical appraisal and grant proposal preparation, as well as a substantial research project, undertaken under the supervision of an academic member of staff from from the School of Optometry and Vision Sciences.

The MRes in Vision Sciences is suitable for those wishing to gain research skills before embarking on a PhD, those who require a research qualification but not necessarily a PhD, or those who want to experience research before deciding on whether or not to undertake a PhD.

Graduates from the MRes in Vision Sciences will develop the ability to:

Critically evaluate their own and previously published research in a range of sub-disciplines within vision research, as well as their own research
Demonstrate advanced knowledge and understanding in a chosen specialist area
Understand the need for evidence-based research in clinical vision research
Search for appropriate evidence within the subject area to support professional development
Exhibit an understanding of: experimental design, the importance of quality data and of appropriate statistical analysis
Design and conduct a research study
Appreciate the role of lifelong learning.

You will also develop a range of academic skills, including:

Search for appropriate information to support learning
Critically evaluate such information
Experimental design
Data collection and analysis.
Scientific writing

In addition to a range of subject specific skills, such as:

Clinical decision making
Higher levels of professional skill and knowledge
Working in peer groups

Graduates of the MRes in Vision Sciences will also develop various transferable and employability skills, including:

Independent learning skills
Time management
Project management
Problem solving

Distinctive features

Research programme with taught elements
Taught modules on research skills
Flexible working hours.

We offer two start dates: March and October.

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The fields of graphics, vision and imaging increasingly rely on one another. This unique and timely MSc provides training in computer graphics, geometry processing, virtual reality, machine vision and imaging technology from world-leading experts, enabling students to specialise in any of these areas and gain a grounding in the others.

Degree information

Graduates will understand the basic mathematical principles underlying the development and application of new techniques in computer graphics and computer vision and will be aware of the range of algorithms and approaches available, and be able to design, develop and evaluate algorithms and methods for new problems, emerging technologies and applications.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits).

Core modules
-Mathematical Methods, Algorithmics and Implementation
-Image Processing
-Computer Graphics
-Research Methods

Optional modules
-Machine Vision
-Graphical Models
-Virtual Environments
-Geometry of Images
-Advanced Modelling, Rendering and Animation
-Inverse Problems in Imaging
-Computation Modelling for Biomedical Imaging
-Computational Photography and Capture
-Acquisition and Processing of 3D Geometry

Dissertation/report
All students undertake an independent research project related to a problem of industrial interest or on a topic near the leading edge of research, which culminates in a 60–80 page dissertation.

Teaching and learning
The programme is delivered through a combination of lectures and tutorials. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and a substantial individual project.

Careers

Graduates are ready for employment in a wide range of high-technology companies and will be able to contribute to maintaining and enhancing the UK's position in these important and expanding areas. The MSc provides graduates with the up-to-date technical skills required to support a wealth of research and development opportunities in broad areas of computer science and engineering, such as multimedia applications, medicine, architecture, film animation and computer games. Our market research shows that the leading companies in these areas demand the deep technical knowledge that this programme provides. Graduates have found positions at global companies such as Disney, Sony and Siemens. Others have gone on to PhD programmes at MIT, Princeton University, and Eth Zurich.

Top career destinations for this degree:
-Senior Post-Doctoral Research Associate, University of Oxford
-Software Engineer, Sengtian Software
-Graduate Software Engineer, ARM
-IT Officer, Nalys
-MSc in Computer Games and Entertainment, Goldsmiths, University of London

Employability
UCL Computer Science was one of the top-rated departments in the country, according to the UK Government's most recent research assessment exercise, and our graduates have some of the highest employment rates of any university in the UK. This degree programme also provides a foundation for further PhD study or industrial research.

Why study this degree at UCL?

UCL Computer Science contains some of the world's leading researchers in computer graphics, geometry processing, computer vision and virtual environments.

Research activities include geometric acquisition and 3D fabrication, real-time photo-realistic rendering, mixed and augmented reality, face recognition, content-based image-database search, video-texture modelling, depth perception in stereo vision, colour imaging for industrial inspection, mapping brain function and connectivity and tracking for SLAM (simultaneous localisation and mapping).

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Run in partnership with Sky, the largest pay-tv broadcaster in the United Kingdom.

-Unique 12 month course,
-Run in partnership with Sky, the largest pay-tv broadcaster in the United Kingdom
-Prepares you to work in a multicamera studio environment
-Work as a Vision Mixer, or a Camera/ Lighting or Sound specialist.
-Includes a six-week internship with Sky and some of the modules are taught at Sky Studios.
-Sky also guarantees to employ at least one graduate of the course each year.
-Unlike other schools, all production costs are met by the School.

We welcome EU/EEA Students. Course fees charged at UK rate.

COURSE OVERVIEW

This course commences in January each year. This intensely practical and pioneering course aims to prepare students for a successful future in multi-camera studio entertainment production. Students are taught by NFTS staff and visiting Industry Professionals and have hands-on experience of a variety of studio roles as well as in their specialisation.

Students will apply for, and be accepted onto the course in one of three craft specialisations:

I. Cameras and Lighting
Practise the core skills of TV studio camera operators, positioning the camera, framing and focus. Learn to use broadcast cameras in a multi-camera studio, repositioning and changing shot as the director demands while the vision mixer cuts and mixes the show. Learn to develop shots, moving with artists or in sympathy with music to create dynamic and exciting television. Begin to light simple interviews and more complex multi-camera lighting techniques. You’ll need a passion for pictures, quick reactions, clear and proactive thinking with excellent co-ordination and a good sense of musical rhythm.

II. Vision Mixing
Train on sophisticated broadcast vision mixing consoles, build and realise complex live visual effects to the director’s brief. Using these high-end production tools, Vision Mixing is like editing - but in real time! Cut, mix and wipe between cameras, pre-edited clips and other video sources live. Learn how to mix a variety of genres from situation comedy to fast paced entertainment and music shows adding digital effects and captioning in real time. You’ll need to be logical, quick thinking, calm under pressure and have an excellent feel for timing and rhythm, both dramatic and musical.

III. Sound (in a broadcast studio environment)
Sound carries the story, sets the mood and the tempo. It provides the enabling structure against which TV pictures can shine. Good sound is essential to a TV programme. Learn how to choose and place microphones for the best results for a variety of shows including live music. Train to use ‘Fisher booms’ - in great demand for sitcoms and soaps - to pick up drama dialogue. Mix studio sound in real time using sophisticated broadcast desks. Enhance the show with spot effects, music cues and audio processing to create atmosphere and energy. Learn how to manage TV comms including studio talkback systems allowing key production team members to communicate and collaborate effectively. You’ll need to be a quick, logical thinker, have a ‘good ear’ and a passion for high quality sound.

These are the core disciplines of multi camera studio operations and people trained at a high level in these craft areas are hotly in demand.

CURRICULUM

Students will be exposed to the creative challenge of working across a range of entertainment programming, including: Situation Comedy, Magazine Shows, Talent Shows, Panel Shows, Game Shows etc.

The award focuses on developing students’ specific capabilities, in the following areas:
-The language of entertainment television so that they can work effectively within production teams
-A high level technical understanding of their chosen specialist area
-A critical awareness of the production workflow and the impact of multiplatform on production

Modules include:
-The Grammar of Television Entertainment
-Media Technology
-Music and Magazine Programming
-Chat Shows and Panel Shows
-Comedy

The six week internship at Sky is constituted of two distinct elements. Firstly the student will shadow a Sky Production Services member of staff working in their specialisation (Vision Mixer, Sound, Camera/Lighting). This will cement the students understanding of the wide range of professional practices and competencies associated with each role. Secondly, students will undertake a range of simulated exercises (designed by the NFTS with Sky involvement) to hone their craft and understanding on the Sky equipment.

At the end of the course, students will be well placed to work professionally in their chosen job role within broadcast production. They will also have a thorough understanding of the television production process encompassing everything from the creative to the technical and the business aspects.

Unlike other schools, all production costs are met by the School. In addition you will be given a cash Production Budget. NFTS students are engaged in more productions as part of the curriculum than any of our competitors.

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This distance learning course is aimed at teachers with Qualified Teacher Status who work with children and young people with vision impairments.

The aims of the programme are:

To develop knowledge, understanding and skills to enable professionals to work confidently and effectively with children and young people who have vision impairments in a variety of settings, their families and other professionals who support them.
To develop critical and analytical enquiry-based learning skills to prepare professionals to work in range of contexts where children and young people with vision impairments are educated.
To provide a conceptual framework which has reference to relevant literature as well as government legislation and guidance pertaining to the education of children and young people with vision impairments at a national and international level.
Students will be required to attend University based study-weekends and regional tutorials as specified throughout the programme. The programme includes an assessed Braille component, a teaching placement and a negotiated programme of visits to specialist provision. Most of the module content will be delivered online and as such students will require suitable internet access prior to commencing their studies.

On successful completion of the PG Diploma students may transfer to the MEd programme (Education of Children and Young People with Vision Impairments). This is usually undertaken as an additional year of study and requires completion of a research methods module (4000 words) and a dissertation (15,000 words). An additional fee is payable for this period of study.

About the School of Education

The School of Education has a long-standing reputation as a centre of excellence for teaching and research in a wide range of areas of educational practice and policy. It is an international leader in education with a history of top rated research. In the 2016 QS World Rankings, it was ranked 28th in the World and joint 7th in Europe/UK.
The School employs over 100 academic staff who teach more than 2,500 students. It is home to a number of departments and research centres with a history of top rated research and is an international leader in education.
School of Education ranking:
- Ranked 6th in the Guardian University League Tables 2017
- Ranked 10th in the 2017 Complete University Guide
- In Top 3 for HEI provision in the Good Teacher Training Guide
- Ranked 28th in the World in the 2016 QS World Rankings
- Ranked 9th overall for Research in the 2014 REF (with more than 82% of research rated as ‘internationally excellent’ (3*) or ‘world leading’ (4*).
- Rated 'outstanding' in latest Ofsted inspection (2013) for its Teacher Training programmes
- Ranked third for Education in The Times Good University Guide 2017

Funding and Scholarships

There are many ways to finance your postgraduate study at the University of Birmingham. To see what funding and scholarships are available, please visit: http://www.birmingham.ac.uk/postgraduate/funding

Open Days

Explore postgraduate study at Birmingham at our on-campus open days.
Register to attend at: http://www.birmingham.ac.uk/postgraduate/visit

Virtual Open Days

If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: http://www.pg.bham.ac.uk

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The MSc Clinical Ophthalmology and Vision Research (COVR) is designed to provide eye care professionals with enhanced knowledge and skills in clinical decision-making as the basis for the safe and effective management of a wide range of ocular conditions.

Primary eye care is rapidly expanding to include diagnosing and treating ocular disease in close collaboration with secondary and tertiary care providers. For optometrists, these new roles are in addition to their traditional role of examining eyes and determining the refractive prescription.

The management of eye conditions is normally carried out either independently or in partnership with medical practitioners. These new roles involve taking on greater responsibilities, and require additional specialised academic training.

Depending on professional requirements and personal interest, you can tailor your MSc according to speciality, leading to a named degree on completion of the dissertation:
-MSc Clinical Ophthalmology and Vision Research (Generic)
-MSc Clinical Ophthalmology and Vision Research (Diabetes)
-MSc Clinical Ophthalmology and Vision Research (Therapeutics)

The programme is designed to allow you to advance your clinical and academic skills as well as-to obtain research experience. If you wish to pursue research within academia to achieve a higher qualification you will also find the programme an ideal preparation for subsequent studies, for example, towards a PhD degree.

The programme consists of core modules, which are compulsory and must be taken by all students, and optional modules, which can be chosen based on personal interest and professional requirement. A substantial component of the programme is the research project, which makes up a third of the programme.

This programme can also be taken part time - for more information please view the web-page:
http://www.gcu.ac.uk/hls/study/courses/details/index.php/P02370-1PTA-1718/Clinical_Ophthalmology_and_Vision_Research_(Part-time)?utm_source=XXXX&utm_medium=web&utm_campaign=courselisting

Programme Structure

The programmes use a modular structure, including lectures and tutorials in trimesters A and B, and clinical training and Research Project over trimesters A, B and C.

All three programmes consist of core modules, which are compulsory and must be taken by all students, and optional modules, which can be chosen based on personal interest and professional requirement. A substantial component of each programme is the research project, which makes up a third of the programme.

Assessment

A range of assessment methods will be used including formal exams, case reports, oral presentations and clinical assessments as well as assessment of the research project/MSc dissertation.

Employment Opportunities

The programme offers primary eye care practitioners, such as optometrists, the opportunity to advance their clinical career and / or to obtain research experience e.g. as a preparation for further postgraduate studies at PhD level.

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VIBOT is a two-year International Masters of Excellence in Vision and Robotics sponsored by the European Union under the Erasmus Mundus framework. Built as collaboration between three leading universities in Europe (Heriot-Watt University in Scotland, the Universitat de Girona in Spain and the Université de Bourgogne in France), it is a truly international degree where students not only learn cutting edge science and engineering but are also exposed to different cultures. Over 50 countries have been represented on the Vibot programs since its inception in 2006.

This is a highly competitive programme aiming at attracting the best European and Overseas students to study robotics and computer vision. A number of very attractive grants (up to €42000) covering the University fees and a stipend for living and travel expenses are offered to the best students in the limit of the available grants (typically 16/year). On average, one in ten student applying is selected for a grant.

In recent years, the amount of digital image information to be stored, processed and distributed has grown dramatically. The generalisation of the use of digital images, in video surveillance, biomedical and e-health systems, and remote sensing, creates new, pressing challenges, and automated management tools are key to enable the organisation, mining and processing of these important knowledge resources. The key subject areas taught are computer vision, pattern recognition and robotics. Research in these areas is very dynamic and relevant to a wide range of sectors, such as the autonomotive industry, autonomous systems, medical imaging and e-health. The course is over two years, students spend the first semester in France, the second in Spain and the third in Scotland. The fourth semester is reserved for Masters thesis.

Career Prospects:
All of our graduates find work in industry or research very quickly and are sought after by research laboratories and leading blue chip companies alike. More and more of our graduates choose an industrial career.

Started in 2006, the VIBOT program has become the leading computer vision and robotics program in Europe. A majority of the VIBOT students have graduated with distinction and around 50% of them continue on to PhD studies.

Links with industry:
Strong links with industry have been established and companies now routinely welcome our students for their final year project. Recently, a 2007-2009 VIBOT student won the BAe Systems Chairman Bronze award for his contribution to autonomous navigation of terrestrial robots, demonstrating that our student are well prepared not only for high academic achievement but also for industry.

Our industrial partners have commented on our program:

“We have hosted VIBOT MSc project for the past 3 years and found them to be of a high calibre - in fact - we hired one of them. Their training seems to equip them well for in medical image analysis research, and what they don't know they quickly learn. The course works them hard - requiring a dissertation, short paper, poster and presentation of their work. This serves us well since it ensures they leave behind a good documentary record in addition to the software output. We look forward to working with VIBOT students in the future.

Ian Poole, PhD.
Scientific Fellow - Image Analysis
Toshiba Medical Visualization Systems Europe, Ltd Bonnington Bond”

“BAE Systems has found the ViBOT students to be of a high calibre and full of enthusiasm. They have all managed to fit into our teams quickly and have made valuable technical contributions. We have hired one student following his placement. We find that, through the students, we can sometimes attempt innovative tasks and try new approaches that are off the critical path of our projects. This can help give us early initial experience of emerging methods or potential applications. The ViBOT students are usually from overseas which has the bonus of adding to the diversity of our student placements, who are typically coming from the UK.

Richard Brimble
Principal Scientist,
BAE SYSTEMS, Advanced Technology Centre,

Facilities:
Our world-class robotics facilities include state of the art robots and 3D scanners. We have several turtlebots (http://www.turtlebot.eu) for land robotics, equipped with state of the art sensing such as the kinect, several human robots (Nao) as well as a wide range of dedicated robots for air and subsea robotics.

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This programme is based at the UCL Institute of Ophthalmology, which is world renowned for the translation of biomedical research into new therapeutic advances in eye disease. Students will be embedded in the research environment, have the opportunity to conduct an independent research project, and to work alongside world-leading experts.

Degree information

Students will develop key transferable personal and professional skills to independently conduct an extended empirical research project supervised by world-leading experts in the field of vision research. Students will also learn about the fundamental biology of the eye in health and disease, providing key knowledge to support their research project.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), three optional modules (45 credits) and a dissertation (105 credits).

Core modules
-Bioscience Research Skills
-Research in Practice

Optional modules - students choose three of the following:
-Genetics and Epidemiology of Ocular Disease
-Ocular Cell Biology
-Ocular Development in Health and Disease
-Ocular Immunology

Dissertation/research project
All students undertake an independent research project which culminates in a dissertation of 18,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, journal clubs and workshops. Assessment is through essays, oral presentations, problem-based tasks and a research dissertation.

Careers

The Vision Research MRes will develop the necessary competitive skills to pursue a research degree at PhD level in the field of biomedical sciences. Graduates will offer prospective employers skills in research development and practice, suitable for further research careers in academia, industry or business.

Employability
A unique feature of the Vision Research MRes is the delivery of key elements that are essential for the development of an internationally-competitive career in biomedical research. The research expertise at the institute will be fully harnessed to prepare students for a new era in research in the global employment market. Students will develop critical understanding of a range of research-related knowledge and skills, including quantitative and qualitative tools for the implementation, management and dissemination of research. The programme will give students both the fundamental knowledge and skills base to address complex issues of global significance in health and wellbeing.

Why study this degree at UCL?

The UCL Institute of Ophthalmology is recognised globally for its outstanding record in basic biomedical research, much of which has been translated into important advances in novel and innovative therapies.

The Vision Research MRes is a unique programme that will combine existing high-quality research-informed teaching at the institute with a substantial empirical research project.

The opportunity to participate fully in academic life as part of a research team will provide networking opportunities across the spectrum of biomedical research taking place at the institute, UCL and elsewhere, thereby increasing exposure to further opportunities in research.

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What if your smartphone could recognise that it was you before switching on, and could sense your mood by recognising your facial expressions? What if you could use a real thumbs-up for 'liking' things on Facebook? How can you play games on an Xbox using only your body gestures? How can you equip cars with in-vehicle technology that could automatically read road signs? These are just some of the fascinating questions that you will strive to answer on this programme.

This programme is intended to respond to a growing skills shortage in research and industry for engineers with a high level of training in the analysis and interpretation of images and video. It covers both low-level image processing and high-level interpretation using state-of-the-art machine learning methodologies. In addition, it offers high-level training in programming languages, tools and methods that are necessary for the design and implementation of practical computer vision systems.

Modules Can Include:
Advanced Transform Methods
Machine Learning
Introduction to Computer Vision
Computer Graphics
Artificial Intelligence
Techniques for Computer Vision
High Performance Computing
C++ for Image Processing
Project

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About the course

Lead academic 2016: Dr Charlotte Codina

This is a part-time distance learning course for practising Orthoptists and other eye care professionals. It’s taught online so you can study for a higher degree without having to leave your current post.

Our study environment

You’ll be based in teaching hospitals that serve a population of over half a million people and refer a further two million. We also have close links with the University’s other health-related departments.

Our research funding comes from many sources including the NIHR, MRC, BBSRC, EPSRC, the Department of Health, EU, and prominent charities such as the Wellcome Trust, ARC, YCR, Cancer Research UK and BHF. Our partners and sponsors include Novartis, GlaxoSmithKline, Pfizer, Astra Zeneca and Eli Lilly.

You’ll also benefit from our collaboration with the Department of Biomedical Sciences.

How we teach

Classes are kept small (15–20 students) to make sure you get the best possible experience in laboratories and in clinical settings.

Our resources

We have a state-of-the-art biorepository and a £30m stem cell laboratory. The Sheffield Institute of Translational Neuroscience (SITraN) opened in November 2010. We also have microarray, genetics, histology, flow cytometry and high-throughput screening technology, and the latest equipment for bone and oncology research.

At our Clinical Research Facility, you’ll be able to conduct studies with adult patients and volunteers. The Sheffield Children’s Hospital houses a complementary facility for paediatric experimental medical research.

Hepatitis B policy

If your course involves a significant risk of exposure to human blood or other body fluids and tissue, you’ll need to complete a course of Hepatitis B immunisation before starting. We conform to national guidelines that are in place to protect patients, health care workers and students.

Course content

Concomitance and Incomitance in Depth or Stroke; Insight into Disease or Low Vision; Eye to Vision; Research Methods (option for Postgraduate Diploma); Dissertation (Postgraduate Diploma only); Research Project (MMedSci only).

Teaching

Teaching is by distance learning, supported 
by four weekend residentials.

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