This exciting programme focuses on the design, development and clinical application of novel rehabilitative and assistive technologies. The programme is delivered by the Aspire Create team, which is engineering the next generation of these technologies, in partnership with clinicians at the Royal National Orthopaedic Hospital.
You will engage in research-based learning and work on real-world medical engineering projects which are driven by a clinical need. Throughout the MSc, you will receive core training in “anatomy for engineers", biomechanics and research methodologies, before choosing modules that explore cutting-edge topics ranging from robotics and electronic implants to social cognitive rehabilitation and “disability and development”.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), two optional modules (30 credits), a group research module (30 credits) and an individual project (60 credits).
All students participate in two group research projects which put the theory from the core modules into practice. Each project results in a group report and an individual mini-viva.
All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.
Teaching and learning
The programme is delivered through a combination of interactive lectures, seminars and hands-on laboratory sessions, supported by exercise/problem sheets and opportunities for reflection and discussion. Assessment is through coursework, research project reports, mini-vivas, MCQs and written exams.
The programme will be taught mostly at the Royal National Orthopaedic Hospital in Stanmore, London. Some teaching will also take place in Bloomsbury.
Further information on modules and degree structure is available on the department website: Rehabilitation Engineering and Assistive Technologies MSc
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Typical career destinations for our graduates range from, but are not limited to: academic researchers, biomedical R&D engineers, clinical scientists, and entrepreneurs who spin out their project work into start-up companies.
This programme will give you the opportunity to enhance your employability by gaining and refining both technical and transferable skills. Not only will you gain specialist theoretical knowledge, you will also learn how to put this into practice through our research-based learning activities. The highly interdisciplinary research focus will give you experience of the academic, clinical and third sectors. Importantly, you will refine your communication skills by interacting with different audiences (technical, clinical and lay) and learn how to pitch your arguments at the right level – this is a highly valued skill in any sector.
Rehabilitation engineering promises to revolutionise the way patients regain their independence. Complementary to drugs and surgery, this unique MSc focuses on how state-of-the-art technologies can be developed and translated into clinical practice.
You will tackle real problems, faced by people with complex and challenging medical conditions, such as spinal cord injuries and stroke.
There are plenty of networking opportunities throughout the programme, which is run by internationally renowned UCL academics, in conjunction with clinicians at the Royal National Orthopaedic Hospital; assistive technology specialists from the Aspire charity; and our industrial research partners.
Strongly interdisciplinary in nature, the Institute for Language, Cognition and Communication (ILCC) is dedicated to both basic and applied research in the computational study of language, communication, and cognition, in both humans and machines.
As technology focuses increasingly on language-based communication tools, research into the automation of language processing has become vital. ILCC offers you the broadest research scope in the UK, and a strong computational focus.
Our primary areas of research are:
Much of our research is applied to software development, in areas as diverse as social media, assisted living, gaming and education.
You may find yourself working closely with other departments of the University, particularly the School of Philosophy, Psychology & Language Sciences.
Many of our researchers are involved in cross-disciplinary research centres; for instance:
Centre for Speech Technology Research (CSTR)
The Centre for Speech Technology Research (CSTR) is an interdisciplinary research centre linking Informatics and Linguistics. Founded in 1984, it is now one of the world's largest concentrations of researchers working in the field of language and speech processing.
CSTR is concerned with research in all areas of speech technology including speech recognition, synthesis, signal processing, acoustic phonetics, information access, multi-modal interaction and dialogue systems.
The Centre is home to state-of-the-art research facilities including specialised speech and language-orientated computer labs, a digital recording studio, perception labs and a meeting room instrumented with multiple synchronised video cameras and microphones. There is also access to high-performance computer clusters, the University storage area network, a specialist library, and many speech and language databases
Centre for Design Informatics
Data driven innovation is transforming society and the economy. In the Centre for Design Informatics, we design systems for better human data interaction, in diverse settings such as health, culture, mobility and finance. We explore design from, with, and by data: the central concern is the design of flows of data which sustain and enhance human values. Relevant technologies range from the internet of things, through blockchains, to robotics, speech recognition, data visualisation, interaction design, and social computing.
Data Science EPSRC Centre for Doctoral Training
The EPSRC Centre for Doctoral Training (CDT) in Data Science, based at the University of Edinburgh, is training a new generation of data scientists, comprising 50 PhDs over five intake years, with the technical skills and interdisciplinary awareness necessary to become R&D leaders in this emerging area.
You carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.
A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.
It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.
Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.
Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.
While many of our graduates pursue an academic career, others find their skills are highly sought after in the technology industry. A number of our students serve internships with large UK and international software developers, while others take up positions with major social media companies.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Long Term and Chronic Conditions Management at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The Master's degree in Long Term and Chronic Conditions Management aims to equip health and social care professionals and others, including new and recent graduates who contribute or plan to contribute to the strategically important area of long term and chronic conditions management.
- Since its inception in 2007, the programme has consistently produced successful, high achieving postgraduates
Teaching and Employability:
- Taught by experienced academics many of whom are also qualified teachers, research active and have a wealth of professional experience in chronic conditions
- Students have the opportunity to develop a bespoke programme relevant to their particular interest and/or speciality
- Students have a choice for their dissertation option, including the novel opportunity to draft a paper to be submitted for publication
- Students can take advantage of inter-professional learning in small groups and the opportunity to study with international students and those enrolled on other Masters programmes
The increasing burden of chronic illness is one of the greatest challenges facing health systems globally. In the UK, approximately 18 million people live with a long term or chronic condition and this number is expected to double by 2030. Approximately 80% of GP consultations, 60% of days spent in hospital and two thirds of all emergency hospital admissions are associated with chronic conditions (Department of Health 2004).
Managing long term and chronic conditions currently accounts for almost 70% of the NHS budget and these costs are projected to increase significantly given the ageing population and escalating risk factors such as obesity and inactivity.
Long term and chronic conditions can have profound and far reaching implications on all aspects of peoples’ lives and can present patients (and families) with a spectrum of needs.
People living with a long term or chronic condition require support, care and rehabilitation from a wide range of professionals in health, social and voluntary care sectors. In addition, effective health promotion, prevention, self-care and self-management will help ensure that chronic illnesses are avoided wherever possible and that people are more informed to safely and effectively manage their health and wellbeing.
This requires complex responses over extended periods of time, coordinated, proactive and collaborative input from the health, social care and voluntary sectors, patients, carers and lay personnel (as in the Expert Patient Programme). These need to be optimally embedded with systems which actively promote and support sustainable stakeholder collaboration and patient empowerment.
Modules on the Long Term and Chronic Conditions Management programme typically include:
• Theory and Practice of Long Term and Chronic Conditions Management
• Foundations in Health Promotion
• Foundations in Research
• Health Psychology of Long Term and Chronic Illness
• Social Aspects of Long Term and Chronic Illness
• The Management of Parkinson's Disease-Related Conditions
• Foundations in Public Health and Primary Health Care
• Partnerships, Public Health and Epidemiology
• Public Health Practice
• Chronic Condition Management: Diabetes
• Advancing Practice in End of Life Care
• Assistive Technology in Health and Social Care
• Politics and Policies
• Theory and Practice of Leadership and Management in Health and Social Care
• Applied Anatomy and Pathophysiology for Long Term Chronic Conditions Management
• Chronic Pain Management
The MSc Long Term and Chronic Conditions is designed to be both multi-disciplinary and inter-professional and thereby mirror long term and chronic condition management within the National Health Service (NHS) and government initiatives.
This course is structured as either a one year full-time or three year part-time modular taught Master's degree. The core structure is based around a holistic approach to long term and chronic conditions management, coupled with research.
The Long Term and Chronic Conditions Management programme offer students the flexibility to choose a “bespoke” path that enables them to develop personally and professionally relevant qualifications with a range of optional modules on offer.
Long Term and Chronic Conditions Management students can ‘drill down’ within their specialist area, for example, health promotion, leadership or cancer rehabilitation.
Current and previous Long Term and Chronic Conditions Management students have roles as nurses, physiotherapists, podiatrists, Occupational Therapists, chiropractors, physicians and health science graduates.
Many have secured new roles in healthcare whilst studying or on completion of the programme, and others have or are considering progressing to doctoral level studies or further professional qualifications.
Long Term and Chronic Conditions Management students have presented work at national conferences and have published work or are in the process of doing so.
Programme Director, Dr Tessa Watts, has expertise in supporting self-management and has completed the Health Foundation’s Advanced Development Programme for Practitioners. Tessa is also co-chair of the Chronic Conditions Research group in the College of Human and Health Sciences at Swansea University, and publishes primarily in the areas of cancer, palliative care and healthcare education.
Dr Sherrill Snelgrove has expertise in chronic pain management. Sherrill is co-chair of the Chronic Conditions Research group, alongside Tessa, and publishes in the area of chronic pain management.
Dr Jaynie Rance is a chartered Health Psychologist with particular expertise in lifestyle behaviour change.
The College of Human and Health Sciences has a vibrant postgraduate community with students drawn from a variety of backgrounds and nationalities. The College is known for its friendly, welcoming and supportive environment, which combined with its extensive facilities, state-of-the-art technology and superb beachside location, helps to ensure that students benefit from an exceptional student experience.
In addition, students have access to a wide range of excellent facilities and equipment for realistic workplace experiences.
Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.
The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.
On the one hand, the Master’s in Computation in Neural and Artificial Systems addresses how models based on neural information processing can be used to develop artificial systems, probing of human information processing in closed-loop online settings, as well as the development of new machine learning techniques to better understand human brain function.
On the other hand it addresses various ways of modelling and understanding cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics, complexity theory and optimal control theory to neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner. We also look at new groundbreaking areas in the field of AI, like brain computer interfacing and deep learning.
See the website http://www.ru.nl/masters/ai/computation
Why study Computation in Neural and Artificial Systems at Radboud University?
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
- Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.
- Master’s students are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.
- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Brain Network and Neuronal Communication. This will take three instead of two years.
- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.
- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.
- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.
The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems.
Some examples of possible thesis subjects:
- Deep learning
Recent breakthroughs in AI have led to the development of artificial neural networks that achieve human level performance in object recognition. This has led companies like Google and Facebook to invest a lot of research in this technology. Within the AI department you can do research on this topic. This can range from developing deep neural networks to map and decode thoughts from human brain activity to the development of speech recognition systems or neural networks that can play arcade games.
- Brain Computer Interfacing
Brain computer interfaces are systems which decode a users mental state online in real-time for the purpose of communication or control. An effective BCI requires both neuro-scientific insight (which mental states should we decode?) and technical expertise (which measurement systems and decoding algorithms should be used?). A project could be to develop new mental tasks that induce stronger/easier to decode signals, such as using broadband stimuli. Another project could be to develop new decoding methods better able to tease a weak signal from the background noise, such as adaptive-beam forming. Results for both would assessed by performing empirical studies with target users in one of the EEG/MEG/fMRI labs available in the institute.
Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Google, Facebook, IBM, Philips and the Brain Foundation. Some students have even gone on to start their own companies.
Examples of jobs that a graduate of the specialisation in Computation in Neural and Artificial Systems could get:
- PhD researcher on bio-inspired computing
- PhD researcher on neural decoding
- PhD researcher on neural information processing
- Machine learning expert in a software company
- Company founder for brain-based computer games
- Hospital-based designer of assistive technology for patients
- Policy advisor on new developments in neurotechnology
- Software developer for analysis and online visual displays of brain activity
Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Sweden and the United States.
See the website http://www.ru.nl/masters/ai/computation
Understanding naturally intelligent systems, building artificially intelligent systems, and improving the interactions between humans and artificial systems.
As humans, we may be intrigued by the complexity of any daily activity. How do we perceive, act, decide, and remember? On the one hand, if we understand how our own intelligence works, we can use this knowledge to make computers smarter. On the other hand, by making computers behave more like humans, we learn more about how our own cognition works.
The AI Master’s programme at Radboud University has a distinctly cognitive focus. This cognitive focus leads to a highly interdisciplinary programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
See the website http://www.ru.nl/masters/ai
Slowly the human brain has been revealing its mystery to the scientific community. Now that we are actually able to model and stimulate aspects of cognition, AI researchers have gained a deeper understanding of cognition. At the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres, we train our students to become excellent researchers in this area.
At Radboud University we also teach students how to develop practical applications that will become the next generation of products, apps, therapies and services. Our department has been awarded several prizes for its pioneering role in bringing innovations from science to society, e.g. in Assistive Technology for people with disabilities. You’ll be taught the skills needed to conduct and steer such innovation processes. Many Master’s research projects have both a scientific and a practical component.
Computational modelling is the central methodology taught and used in this programme. Depending on the area of study, the computational models can range from behavioural models of millions of individuals interacting on the web, to functional models of human or robot decision-making, to models of individual or networks of artificial neurons. At Radboud University we offer the following three specialisations (on campus simply known as Computation, Robot and Web):
- Computation in Neural and Artificial Systems
Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.
- Robot Cognition
Understand all aspects of Human-Robot interaction: the programming that coordinates a robot’s actions with human action as well the human appreciation and trust in the robot.
- Web and Language Interaction
Learn how to build the intelligence used to power the future of the Web.
To finalise your AI master's programme, you have the choice of either an Internship (18EC) and Research Project (30EC) or a single larger Extended Research Project (48EC). During the internship you have the chance to acquire additional AI relevant skills either at a research lab or at a company. During the Research Projects phase, you get to put what you have learned during your master's programme into practice. You can perform your research work in the AI department, at other research departments at the University (e.g. the Behaviour Science Institute or Donders Institute) or at an external company (such as Philips or TNO). You are also encouraged to go abroad for your internship and/or research project (previously students have gone to Stanford University in California and Aldebaran Robotics in Paris). To help you decide on a thesis topic, there is an annual Thesis Fair where academics and companies present possible project ideas.
Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or a university with an AI department. Other graduates have started their own companies or work for companies interested in cognitive design and research.
Find out how to apply here http://www.ru.nl/masters/ai
- Information for international students
Radboud University would like to meet you in your country (http://www.ru.nl/meetus) in order to give all the information you need and to answer any questions you might have about studying in the Netherlands. In the next few months, an advisor of Radboud University will be attending fairs in various countries, always accompanied by a current or former student.
Furthermore, we understand if you would like to see the Radboud Campus and the city of Nijmegen, which is why we organise an Master's Open Day for international students, which you are welcome to attend (http://www.ru.nl/openday).
- Information for Dutch students
Radboud University offers students in the Netherlands plenty of opportunities to get more information on your programme of choice, or get answers to any questions you might have and more. Apart from a Master's Evening and a Master's Day, we also organise Orientation Days and a Master’s Afternoon for HBO students.
If you have an interest in the earth in relation to minerals extraction Geophysics has plenty of scope to get involved in the profession itself and expertise required to explore different types of terrain but in a newly evolving landscape of assistive technology companies offering the latest methods of discovering production and risk issues beneath the earths surface. You learn these latest methods of finding out data to understand risk and potential engineering issues in difficult to reach places. Signal processing uses the latest advances in sensor development to set up an alert system to monitor specific areas which are normally difficult to reach. Seismic processing looks at how the earth moves not only in times of earthquakes but natural movement from chemical reactions beneath the surface of the earth.
Borehole extraction is used in mineral extraction but also to determine if reserves are live or loading is safe and much and more. The skills you learn apply equally to current and future mineral extraction as they do to land and sea where extraction has historically taken place and where there is application for a different use from a remediated coal mine for example where loading can be critical to risk for future use. The programme equips you with skills in hydrocarbon, minerals and associated industries or research. You understand structure from near surface to deep interior learning from geophysical data analysis and interpretation.
Find out more detail by visiting the programme web page
Find out about international fees:
Find out more about fees on the programme page
*Please be advised that some programmes also have additional costs.
Find out more about:
Find out more about living in Aberdeen and living costs
The MA Special Needs and Inclusion is a distinct, multi-professional award designed for international and UK students. This course meets the growing need for professionals to have the skills and theoretical understanding necessary to work in different fields and across the life span.
Underpinned by a strong values base, it emphasises social justice and inclusive principles, whilst acknowledging and critiquing the many different perspectives in policy and practice.
Full time students will study three 20 credit modules each term, with sessions taught either during the day, twilight or occasionally at weekends.
Part-time students’ sessions will take place during the evening and on one Saturday each term.
All students are encouraged and supported to work collaboratively and to explore their individual interests. Blended learning materials are available to support all students.
To achieve the MA Special Needs and Inclusion award you'll need to complete 3 core (compulsory) modules and 3 optional modules, plus a dissertation.
Some of the modules you could study:
• Critical Issues (Core)
• Research Methods (Core)
• Perspectives on Special Needs and Inclusion (Core)
• Contemporary Issues in Special Needs and Inclusion (Optional)
• International Perspectives in Special Needs and Inclusion (Optional)
• The Psychology of Special Needs (Optional)
• Multi-professional Working (Optional)
• Inclusive and Assistive Technology (Optional)
• Negotiated Project (Optional)
Following the successful completion of the 3 core modules and 3 other modules you'll carry on to complete a Dissertation. This is your own particular research into a topic of interest to you, identified in conjunction with your tutor.
A variety of assessment methods, including essays, reports, case studies, presentations and professional discussions.
Following the successful completion of your MA Special Needs and Inclusion there is the opportunity to study a Doctorate in Education (SEN) of PhD.
For information on how to apply, please follow this link: https://www.canterbury.ac.uk/study-here/how-to-apply/how-to-apply.aspx
See our postgraduate fees and funding page to discover the loans, scholarships and bursaries available.