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Masters Degrees (Vision)

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This two-year distance education programme is open to teachers with Qualified Teacher Status (QTS) or equivalent, seeking the Mandatory Qualification (MQ) for specialist teachers of children and young people with vision impairments. Read more

This two-year distance education programme is open to teachers with Qualified Teacher Status (QTS) or equivalent, seeking the Mandatory Qualification (MQ) for specialist teachers of children and young people with vision impairments. The MQ programme has been approved by the National College for Teaching and Leadership (NCTL). An alternative programme (Education of Children and Young People with Vision Impairments) is also open to teachers (as well as other professionals with appropriate qualifications) working with children and young people with vision impairments who are not seeking the MQ.

Approximately 100 specialist teachers of children with vision impairment are trained each year, making the University of Birmingham the largest teacher training provider in the area of vision impairment in the United Kingdom.    

Please note that details of the compulsory residential study weekends may be found on the Learning and Teaching Tab.

Download information on all the postgraduate study programmes in the School of Education (PDF)

Course details

This distance learning course is aimed at teachers with Qualified Teacher Status who work with children and young people with vision impairments. You will be tutored by recognized experts in the field who work in the Vision Impairment Centre for Teaching And Research (VICTAR) and will have access to extensive research materials. 

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 (4,000 words) and a dissertation (15,000 words). An additional fee is payable for this period of study.

Some of our current students talk about their learning experience on the Teachers of Children and Young People with Vision Impairments course.

You may also be interested in four of our other programmes:

Learning and teaching

Delivery of the programme is mainly through Distance Learning although students are required to attend residential 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. The programme and individual modules draw upon a range of learning and teaching approaches, a number of which are structured around the principles of enquiry based learning (EBL).

Residential Study Weekends

Over the course of the two year programme, students are required to attend four three day residential study weekends which are held in September and March/April at the School of Education. The study weekends are a compulsory component of the course programme and attendance is a course requirement. The dates for 2018-2019 are:

  • 7 - 9 September 2018
  • 12 - 14 April 2019 

Meet the regional tutors

Students will normally be allocated to a Regional Tutor who will offer support and guidance throughout the programme. The Regional Tutors will arrange to meet students in their Regional Groups on a regular basis throughout each year (approximately once per module). Online tutorials may also be offered as an alternative to face to face meetings.

Employability

On successful completion of the programme students will be awarded a PG Diploma (Mandatory Qualification for Teachers of Children and Young People with Vision Impairments). This award is recognised by the NCTL as meeting the requirements for the mandatory qualification for specialist teachers of children and young people with vision impairments.



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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. Read more

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.

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. Read more
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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Our MSc/MRes Investigative Ophthalmology and Vision Sciences course brings together the research expertise in vision from The University of Manchester and the clinical expertise of . Read more

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

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.

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.

Aims

This course aims to provide those working within the ophthalmic professions (ophthalmologists, optometrists, vision scientists, orthoptists and ophthalmic nurses) with an opportunity for professional development.

It will give you a firm grounding in the knowledge, understanding and skills you will need to pursue a higher research degree or to participate in research programmes and meet a need for researchers who can form a bridge between basic research and applied clinical research.

Through the literature review and dissertation, you will develop skills of systematically analysing and interpreting a body of literature, designing and conducting a research project, and analysing and presenting research findings within a written dissertation.

Teaching and learning

In each unit, 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 dissertation projects have led to peer-reviewed publications in 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.

The course directors are Prof Tariq Aslam and Dr Chantal Hillarby .

Coursework and assessment

Assessment is via:

  • written examinations in January and May;
  • coursework set during the taught units;
  • a research project dissertation.

Course unit details

The course has two different pathways:

  • MSc: Six taught units (15 credits each) and a dissertation (90 credits).
  • MRes: Four taught units (15 credits each), a literature review (30 credits) and a dissertation (90) credits.

The six units are Macular Degeneration, Paediatric Ophthalmology, Cornea, Contact Lens, Vascular Disease and Glaucoma.

What our students say

IOVS is a great course overall; excellent content and very enjoyable. (Abid Ali, ophthalmology trainee [UK])

I've enjoyed the insight into new and modern treatments and diagnostic techniques. (Isaac Nunoo, optometrist [Ghana])

I love the way the lecturers teach and explain, and the ease with which you can access information.(Chimdi Emma-Duru, optometrist and PhD student [Nigeria])

Facilities

Ophthalmology is housed within the Manchester Royal Eye Hospital, which is located on the CMFT site at the southern end of the University campus. Optometry is housed within the Carys Bannister Building. The two sites are few hundred yards apart.

Most dissertations are conducted within the confines of the University and the Manchester Royal Eye Hospital. Students may, however, embark on work outside these confines (eg an optometric practice or other hospital). This is contingent on the acceptance of the research proposal and the approval of suitable external and internal supervisors by the course director.

You will also have access to a range of library and IT facilities across the University.

Disability support

Practical support and advice for current students and applicants is available from the Disability and Advisory Support Service .

CPD opportunities

We offer a number of CPD courses in ophthalmology and optometry .

Career opportunities

This MSc is aimed at optometrists, ophthalmologists, orthoptists, biological scientists, nurses and those from related backgrounds, and can open up a number of career opportunities.

The course is suitable if you want to further your knowledge of the vision sciences or if you are an optometrist considering professional development or a career in the hospital eye service.

It is also ideal if you want to conduct research as part of your clinical training or pursue an academic career in ophthalmology, optometry and the vision sciences.



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Our MSc Investigative Ophthalmology and Vision Research gives eye care professionals like you the academic knowledge and practical skills they need to contribute to groundbreaking medical advancements and effectively diagnose and treat a wide range of ocular conditions. Read more

Our MSc Investigative Ophthalmology and Vision Research gives eye care professionals like you the academic knowledge and practical skills they need to contribute to groundbreaking medical advancements and effectively diagnose and treat a wide range of ocular conditions.

Whether you want to pursue further academic studies or take on new responsibilities as a primary caregiver – our programme gives you the clinical skills and research experience you need. Advance your career and have a meaningful influence on the future of the field.

A combination of core and elective modules and research opportunities – with a research project making up one-third of the programme – allows you to customise your studies based on your personal interests and professional requirements. This includes the option to select a specialisation leading to a named degree on completion of your dissertation:

  • MSc Investigative Ophthalmology and Vision Research (General)
  • MSc Investigative Ophthalmology and Vision Research (Diabetes)
  • MSc Investigative Ophthalmology and Vision Research (Therapeutics)

What you will study

The programme is suited to applicants who have obtained a first degree in optometry or a related field outside of the UK. The generic stream of the programme gives a broader perspective than the diabetes and therapeutic routes

Modules

Advanced Binocular Vision; Advanced Clinical Investigation and Research Project; Chronic Complications of Diabetes; Clinical Ophthamology; Diabetes Care; Ocular Therapeutics; Practical and Theoretical Prescribing and Health Economics; Skills for Practice for Vision Science; Skills for Professional Practice Biosciences 2; and Public Health.

Students with an interest in diabetes can choose diabetes-related modules to enhance their understanding of how diabetes effects various structures of the human body. 

Core modules: Diabetes Care; Skills for Professional Practice for Vision Sciences; Skills for Professional Practice for Bioscience 2; Chronic Complications of Diabetes; Advanced Clinical Investigation and Research Project.

Optional modules: Clinical Ophthalmology; Health Economics and Public Health.

Graduate prospects

Whether you choose a path in academia or clinical practice, your MSc Investigative Ophthalmology and Vision Research will unlock new opportunities to advance and expand your career. The programme is ideal preparation for subsequent studies towards a PhD or other higher academic qualification. It also allows optometrists and other practitioners to advance their careers in primary eye care.



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Vision Science is the study of ocular, systemic and neurological disease, underpinned by foundations in biomedical, computation, statistical or societal expertise. Read more

Vision Science is the study of ocular, systemic and neurological disease, underpinned by foundations in biomedical, computation, statistical or societal expertise. Graduates will have an advanced knowledge and understanding of vision science, with experience investigating problems, critical thinking and analysing experimental data.

This stream will provide students with a broad understanding of vision science and significant experience in a chosen specialisation. Students will have the ability to undertake independent research in vision science with the potential to progress to a PhD degree.

CAREER OUTCOMES

As a graduate of this program, one can enjoy a wide range of careers in areas such as:

  • Commercial and government laboratories
  • Management
  • Science outreach and communication
  • Policy development
  • Project management
  • Consulting
  • Imaging technology design, sales and consulting
  • Scientific and/or medical industries sales and service
  • Commercial, optometric, or industrial spin-offs
  • An academic career in vision research and teaching

At the completion of this course, students should have gained:

  • familiarity with the kinds of data generated by vision science research programs;
  • a detailed understanding of selected contemporary issues in the vision sciences;
  • skills in conducting research in the vision sciences;
  • skills in designing rigorous experimental programs;
  • skills in critical assessment of literature; and
  • the ability to present and interpret results of analyses.


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The fields of graphics, vision and imaging increasingly rely on one another. Read more

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.

About this degree

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

  • Computer Graphics (15 credits)
  • Image Processing (15 credits)
  • Mathematical Methods, Algorithmics and Implementations (15 credits)
  • Research Methods and Reading (15 credits)

Optional modules

Students must choose a minimum of 15 and a maximum of 30 credits from Group One options. Students must choose a minimum of 30 and a maximum of 45 credits from Group Two options.

Group One Options (15 to 30 credits)

  • Machine Vision (15 credits)
  • Virtual Environments (15 credits)

Group Two Options (30 to 45 credits)

  • Acquisition and Processing of 3D Geometry (15 credits)
  • Computational Modelling for Biomedical Imaging (15 credits)
  • Computational Photography and Capture (15 credits)
  • Geometry of Images (15 credits)
  • Graphical Models (15 credits)
  • Information Processing in Medical Imaging (15 credits)
  • Introduction to Machine Learning (15 credits)
  • Inverse Problems in Imaging (15 credits)
  • Numerical Optimisation (15 credits)
  • Robotic Sensing, Manipulation and Interaction (15 credits)
  • Robotic Vision and Navigation (15 credits)

Please note: the availability and delivery of optional modules may vary, depending on your selection.

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.

Further information on modules and degree structure is available on the department website: Computer Graphics, Vision and Imaging MSc

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 leading universities worldwide.

Recent career destinations for this degree

  • Business Analyst, Adobe
  • Software Engineer, FactSet Research Systems
  • MRes in Engineering, Imperial College London
  • Software Engineer, Sengtian Software
  • PhD in Computer Graphics, UCL

Employability

UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).

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.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

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).

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Computer Science

96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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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. Read more

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.

About this degree

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.

Further information on modules and degree structure is available on the department website: Vision Research MRes

Funding

The Institute of Ophthalmology currently offers the following bursaries for successful applicants on our postgraduate taught master’s degrees: One £5,000 Duke Elder bursary for non-clinical courses (available for successful applicants on the Biology of Vision, Applied Immunobiology, Applied and Regenerative Neuroscience, and Vision Research degrees). Duke Elder bursaries are open to home and overseas students and will be received in the form of a fee reduction only. 

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

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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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. Read more
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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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. Read more
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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About the course. Part time distance learning. Lead academic 2018. Dr Charlotte Codina. This is a part-time distance learning course for practising orthoptists and other eye care professionals. Read more

About the course

Part time distance learning

Lead academic 2018: Dr Charlotte Codina

This is a part-time distance learning course for practising orthoptists and other eye care professionals.

It's taught online (supported by two residential weekends, an introductory day for Low Vision and virtual tutorials), so you can study for a higher degree without having to leave your current post.

How we teach

As this is a distance learning programme, attendance in Sheffield is only required for two residential weekends (Year 1 and Year 2), and for the Low Vision module option only, for an Introductory Day and clinical examination. Modules with no residential weekend or introductory day are supported by virtual tutorials. Modules are accessed online, therefore broadband internet access is required.

Please visit our webpages for further information.

Course content

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

Teaching

Teaching is by distance learning, supported by two weekend residentials that take place in Sheffield and virtual tutorials using e-technology.



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This specialist option of the . MSc Computational and Software Techniques in Engineering. Read more

This specialist option of the MSc Computational and Software Techniques in Engineering has been developed to deliver qualified engineers to the highest standard into the emerging field of digital signal and image processing who are capable of contributing significantly to this increased demand for both real-time and off-line systems operating over a range of mobile, embedded and workstation platforms.

Who is it for?

Developed for students interested in software development within the wide spectrum of industries in which digital signal processing and/or digital image processing plays a significant role. Suitable for candidates from a broad range of engineering backgrounds, including aeronautical, automotive, mechanical and electrical engineering in addition to the more traditional computational sciences background, who wish to both develop and complement their existing skill-set in this new area. Part-time students have a flexible commencement date.

Why this course?

This option of the MSc in Computational and Software Techniques in Engineering aims to develop your skill-base for the rapidly expanding engineering IT industry sector, not only in the UK but all over the world. Graduates in this option have the opportunity to pursue a wide range of careers embracing telecommunications, the automotive industry, medical imaging, software houses and industrial research where demand for skills is high.

This course additionally forms part of the ESTIA (Ecole Supérieure des Technologies Industrielles Avancées) Cranfield MSc programme which gives ESTIA students the opportunity to study this degree based either at Cranfield University or ESTIA in Bidart, South-West France.

Cranfield University is very well located for visiting part-time students from all over the world, and offers a range of library and support facilities to support your studies. This enables students from all over the world to complete this qualification whilst balancing work/life commitments.

Informed by Industry

The course is directed by an industrial advisory panel who meet twice a year to ensure that it provides the right mix of hands-on skills and up-to-date knowledge suitable for the wide variety of applications that this field addresses.

A number of members also attend the annual student thesis presentations which take place at the end of July. This provides a good opportunity for students to meet key employers.

Course details

The course consists of 12 core modules, including a group design project, plus an individual research project. 

The course is delivered via a combination of structured lectures, tutorial sessions and computer based workshops. Mathematical and computational methods form the basis of the specialist modules, covering the theory and application of DSIP algorithms for the analysis, interpretation and processing of data in diverse fields such as computer vision, robotics, vibro-acoustic condition monitoring, medical diagnosis, remote sensing and data visualisation. This set of specialist modules are designed to provide students with the programming techniques necessary to develop, maintain and use core DSIP solution software over a wide range of industrial settings.

Group project

The group project which takes place in the spring is designed to provide you with invaluable experience of delivering a project within an industry structured team. The project allows you to develop a range of skills including learning how to establish team member roles and responsibilities, project management, delivering technical presentations and gaining experience of working in teams that include members with a variety of expertise and often with members who are based remotely.

Part-time students are encouraged to participate in a group project as it provides a wealth of learning opportunities. However, an option of an individual dissertation is available if agreed with the Course Director.

Recent Group Projects include:

  • Real-time Robotic Sensing
  • Automatic Video Surveillance
  • Face Recognition Systems
  • Applied Digital Signal Processing for Gear Box Analysis
  • Vibro-acoustic Analysis of Turbine Blades.

Individual project

The individual research project allows you to delve deeper into an area of specific interest. It is very common for industrial partners to put forward real world problems or areas of development as potential research project topics. In general you will begin to consider the research project after completing 3-4 modules - it then runs concurrently with the rest of your work.

For part-time students it is common that their research thesis is undertaken in collaboration with their place of work.

Recent Individual Research Projects include:

  • Vision Systems for Real Time Driver Assistance
  • Pattern Recognition for Vibration Analysis
  • Image Stabilisation for UAV Video Footage
  • Presenting Driver Assistance Information Using Augmented Reality
  • Real-time Object Tracking for Intelligent Surveillance Systems
  • 3D Stereo Vision Systems for Robotics and Vehicles.

Assessment

Taught modules 45%, Group project 5%, Individual research project 50%

Your career

The MSc in Computer and Machine Vision attracts enquiries from companies all over the world who wish to recruit high quality graduates. There is considerable demand for students with expertise in engineering software development and for those who have strong technical programming skills in industry standard languages and tools. Graduates of this course will be in demand by commercial engineering software developers, automotive, telecommunications, medical and other industries and research organisations, and have been particularly successful in finding long-term employment.

Some students may go onto degrees, on the basis of their MSc research project. Thesis topics are most often supplied by individual companies on in-company problems with a view to employment after graduation - an approach that is being actively encouraged by a growing number of industries.

A selection of companies that have recruited our graduates include:

  • BAE Systems
  • European Aeronautic Defence and Space Company (EADS)
  • Defence, Science and Technology Laboratory (Dstl)
  • Orange France
  • Microsoft
  • EDS Unigraphics
  • Delcam
  • GKN Technology
  • Logica
  • Oracle Consulting Services
  • National Power
  • Altran Technologies
  • Earth Observation Sciences Ltd
  • Oracle Consulting Services
  • Easams Defence Consultancy
  • Xyratex.


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This MSc is aimed at students who wish to extend their knowledge and expertise in the eye as an integrated biological system. Read more

This MSc is aimed at students who wish to extend their knowledge and expertise in the eye as an integrated biological system. The programme provides a unique and integrated review of the physiology and biology of the eye, covering molecular and developmental cell biology, complex genetics, immunology and behavioural neuroscience.

About this degree

The programme offers students the opportunity to develop their knowledge and expertise in ocular cell biology, genetics, visual neuroscience, development and immunology. On completion of the programme, students gain an enhanced knowledge and understanding of scientific communication skills, scientific design and analysis, sophisticated laboratory techniques and valuable research experience.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), one optional module (15 credits) and a research project (90 credits).

Core modules

  • Ocular Cell Biology
  • Genetics and Epidemiology of Ocular Disease
  • Ocular Immunology
  • Microvascular Biology
  • Visual Neuroscience

Optional modules

  • Either Advanced Visual Neuroscience (30 credits)
  • Or Microvascular Biology (15 credits) and Visual Neuroscience (15 credits)

Dissertation/research project

All MSc students undertake either a research or informatics project using state-of-the-art techniques and equipment. The project culminates in a dissertation of 15,000–18,000 words.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, tutorials, problem classes, journal clubs, self-directed studies and laboratory practical courses. Assessment is through long essays, coursework, laboratory practicals, oral examination and the research dissertation.

Further information on modules and degree structure is available on the department website: Biology of Vision MSc

Careers

This programme provides excellent preparation for a PhD or a successful research career in academia or for positions in the public or commercial sectors. Previous students have also successfully obtained specialist trainee positions in ophthalmology at hospitals across the country.

Recent career destinations for this degree

  • Doctor, Mile End Hospital (NHS)
  • GP (General Practitioner), Barnet Hospital (NHS)
  • Research Associate, Sandwell and West Birmingham Hospitals NHS Trust
  • PG Dip in Clinical Ophthalmology, UCL
  • Research Degree, Institute of Ophthalmology, UCL

Employability

The programme aims to train first-class basic and clinical scientists in the field of ophthalmology.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

The UCL Institute of Ophthalmology is one of the premier centres in the world for the study of vision and the mechanisms, diagnosis and therapy of eye disease. We embrace fundamental research, through the entire spectrum of translational medicine to clinical trials.

This MSc programme draws upon the extensive basic and clinical research experience available at the institute and at Moorfields Eye Hospital. Students gain expertise in basic cell biology, genetics, neuroscience and physiology, specialise in the biology of the eye as an integrated biological system and conduct a six-month research project within a world-class research environment.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Institute of Ophthalmology

80% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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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… Read more
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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The growth of new urban landscapes has determined a remarkable change in the organisation of the space. it is no longer the concentrated city, but it is the territory, the landscape, the container of everything. Read more

Overview

The growth of new urban landscapes has determined a remarkable change in the organisation of the space: it is no longer the concentrated city, but it is the territory, the landscape, the container of everything. This new model of contemporary city can be assimilated to an archipelago where each unit has its own connotation, but where the social values as well as the activity are strictly connected with the relations existing with the other units.

The Master’s objective is to enable professionals to manage complex urban, architectural and territorial issues, by using innovative analysis tools and design methods on different levels with a particular stress on planning, landscape design, environmental sustainability and renewable energy.

The final goal is to provide an adequate training to professionals playing a role in the process of Urban and Architecture transformation and development.

The program includes an internship in a company working in the disciplinary field.

Audience

Candidates holding a first-level academic diploma or BA degree, or about to graduate and with a knowledge of the English language (IELTS 5.0 academic or equivalent certificate).
The program is addressed to candidates with a curriculum in urban planning and/or architecture, as well as those who have a degree in economics, humanities, social sciences and communication, or other disciplines related to the program’s field of study.

Job Opportunities

The Master Urban Vision and Architectural Design offers several job or requalification opportunities:

Public administration, on a local, national and European level, to face and manage the complexity of formulation, implementation, evaluation and communication of territorial policies;

Acting as Project Managers in territorial development agencies, real estate companies, NGOs, non-profit organisations, research centres for urban and territorial transformation, companies working in the field of consultancy and designing development scenarios;

In engineering or architecture studios, dealing with the development of projects, as well as national and international competitions;

Urban designers, planners or advisors;

Consultants, in the public and private sector, in communication and territorial promotion activities (design of services, urban marketing, egovernment, urban centres, city network, public offices of relation with citizens), planning and management of events, cultural initiatives, tourist and recreational activities.

Companies

A network of professionals and leaders in different areas of interest are in constant and proficient interaction and collaboration with the Master in Urban Vision & Architectural Design at Domus Academy, actively participating in educational programming, workshops and international competitions organized by the department.

Students have access to a wide network of connections and relationships with the most prestigious companies, including

Castel Monastero ARUP, Bayer Material Science, CNS spa – Tecnologia per l’ambiente, Hines Italia Srl, Ing Real Estate Development ItalySrl, Legnolandia, Le FondBelval, Milano Metropoli – Development Agency, MU.VI.TA. – Museo Vivo delle Tecnologie per l’Ambiente, Peverelli – Giardini e Paesaggi d’Autore, Prelios, Pirelli RE.

Each individual company is a useful contact for the future professional life of every student, as well as being indispensable mentor and point of reference throughout the course of studies.

Academic and Institutional Partners:

California State University Florence, i2a – international institute of architecture, Milan Municipality.

The Master has worked with:

ARUP, Bayer Material Science, CNS spa – Tecnologia per l’ambiente, Hines Italia Srl, Ing Real Estate Development ItalySrl, Legnolandia, Le FondBelval, Milano Metropoli – Development Agency, MU.VI.TA. – Museo Vivo delle Tecnologie per l’Ambiente, Peverelli – Giardini e Paesaggi d’Autore, Prelios, Pirelli RE.

For more information please visit http://www.domusacademy.com/

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