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Masters Degrees (Medical Robotics)

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Medical Robotics and Image-Guided Intervention are two technology driven areas of medicine that have experienced tremendous growth and improvement over the last twenty years, partly driven by the surgical aim of progressively less invasive and harmful treatments. Read more
Medical Robotics and Image-Guided Intervention are two technology driven areas of medicine that have experienced tremendous growth and improvement over the last twenty years, partly driven by the surgical aim of progressively less invasive and harmful treatments.

This course will provide the research experience required to work within the highly innovative field of medical robotics and surgical technology.

This is a multidisciplinary field and is led by three internationally known departments:

The Hamlyn Centre for Medical Robotics (part of the Institute of Global Health Innovation)
The Department of Surgery and Cancer
The Department of Computing

All teaching and research will take place in the brand new facilities of the Hamlyn Centre.

Taught modules include a mixture of engineering and medical topics such as medical robotics and instrumentation, minimally invasive surgery, surgical imaging and optics, image guided intervention, perception and ergonomics.

You will spend nine months working on a cutting edge research project.

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Robotics and autonomous systems (RAS) are set to shape innovation in the 21st century, underpinning research in a wide range of challenging areas. Read more
Robotics and autonomous systems (RAS) are set to shape innovation in the 21st century, underpinning research in a wide range of challenging areas: the ageing population, efficient health care, safer transport, and secure energy. The UCL edge in scientific excellence, industrial collaboration and cross-sector activities make it ideally placed to drive IT robotics and automation education in the UK.

Degree information

The programme provides an overview of robotic and computational tools for robotics and autonomous systems as well as their main computational components: kinetic chains, sensing and awareness, control systems, mapping and navigation. Optional modules in machine learning, human-machine interfaces and computer vision help students grasp fields related to robotics more closely, while the project thesis allows students to focus on a specific research topic in depth.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), two optional modules (30 credits), two elective modules (30 credits), and a dissertation/report (60 credits).

Core modules
-Robotic Control Theory and Systems
-Robotic Sensing, Manipulation and Interaction
-Robotic Systems Engineering
-Robotic Vision and Navigation

Optional modules
-Acquisition and Processing of 3D Geometry
-Affective Computing and Human-Robot Interaction
-Artificial Intelligence and Neural Computing
-Image Processing
-Inverse Problems in Imaging
-Machine Vision
-Mathematical Methods, Algorithmics and Implementations
-Probabilistic and Unsupervised Learning
-Research Methods and Reading
-Supervised Learning
-Other selected modules available within UCL Computer Science
-Students also choose two elective MSc modules from across UCL Computer Science, UCL Medical Physics & Biomedical Engineering, UCL Mechanical Engineering and UCL Bartlett School of Architecture.

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 30,000 words.

Teaching and learning
Teaching is delivered by lectures, tutorials, practical sessions, projects and seminars. Assessment is through examination, individual and group projects and presentations, and design exercises.

Careers

Robotics is a growing field encompassing many technologies with applications across different industrial sectors, and spanning manufacturing, security, mining, design, transport, exploration and healthcare. Graduates from our MSc programme will have diverse job opportunities in the international marketplace with their knowledge of robotics and the underpinning computational and analytical fundamentals that are highly valued in the established and emerging economies. Students will also be well placed to undertake PhD studies in robotics and computational research specific to robotics but translational across different analytical disciplines or applied fields that will be influenced by new robotic technologies and capabilities.

Employability
This programme prepares students to enter a robotics-related industry or any other occupation requiring engineering or analytical skills. Graduates with skills to develop new robotics solutions and solve computational challenges in automation are likely to be in demand globally.

Why study this degree at UCL?

UCL was ranked first in the UK for computer science and informatics in the recent Research Excellence Framework (REF).

With the external project involvement anticipated, students on this programme will have the opportunity to interact and collaborate with key companies in the industry - Airbus, Shadow Hand, OC Robotics and Intuitive Surgical - and work on real-world problems through industry-supported projects.

Recent investment across UCL in the Faculty of Engineering and The Bartlett Faculty of the Built Environment has created the infrastructure for an exciting robotics programme, which will be interdisciplinary and unique within the UK and Europe.

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Robotics and autonomous systems (RAS) are set to shape innovation in the 21st century, underpinning research in a wide range of challenging areas. Read more
Robotics and autonomous systems (RAS) are set to shape innovation in the 21st century, underpinning research in a wide range of challenging areas: the ageing population, efficient health care, safer transport, and secure energy. The UCL edge in scientific excellence, industrial collaboration and cross-sector activities make it ideally placed to deliver this MRes, which uniquely covers the whole spectrum of potential RAS areas and application.

Degree information

The programme teaches students the essentials of robotic and computational tools for robotics and autonomous systems. The key aim of the principal project thesis is to cultivate a deep understanding of robotics research, with a particular focus on a specific research topic in robotics and autonomous systems.

Students undertake modules to the value of 180 credits. The programme consists of one core module (15 credits), two optional modules (30 credits), two elective modules (30 credits), and a dissertation/report (105 credits).

Core modules
-Robotic Systems Engineering

Optional modules
-Robotic Control Theory and Systems
-Robotic Sensing, Manipulation and Interaction
-Robotic Vision and Navigation
-Numerical Optimisation
-Students also choose two elective MSc modules from across UCL Computer Science, UCL Medical Physics & Biomedical Engineering, UCL Mechanical Engineering and UCL Bartlett School of Architecture.

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 30,000 words.

Teaching and learning
Teaching is delivered by lectures, tutorials, practical sessions, projects and seminars. Assessment is through examination, individual and group projects and presentations, and design exercices.

Careers

Robotics is a growing field encompassing many technologies with tremendous opportunities for research and development both in industry and in academia, and with diverse applications across different industrial sectors spanning manufacturing, security, mining, design, transport, exploration and healthcare. Graduates from our MRes programme will will have project-focused experience and knowledge in robotics and the underpinning computational and analytical fundamentals. These skills will position graduates to be well placed to undertake PhD studies or industrial research and development in robotics and computational research specific to robotics but translational across different analytical disciplines, or applied fields that will be influenced by new robotic technologies and capabilities.

Employability
The MRes will develop skills widely relevant to a career in engineering industries and analytical problem-solving occupations. Graduates with skills to develop new robotics solutions and solve computational challenges in automation are likely to be in high demand globally.

Why study this degree at UCL?

UCL was ranked first in the UK for computer science and informatics in the recent Research Excellence Framework (REF).

With the external project involvement anticipated, students on this programme will have the opportunity to interact and collaborate with key companies in the industry - Airbus, Shadow Hand, OC Robotics and Intuitive Surgical - and work on real-world problems through industry-supported projects.

Recent investment across UCL in the Faculty of Engineering and The Bartlett Faculty of the Built Environment has created the infrastructure for an exciting robotics programme, which will be interdisciplinary and unique within the UK and Europe.

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Research profile. Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. Read more

Research profile

Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. This EPSRC-sponsored programme will produce graduates with the technical skills and industry awareness to create an innovation pipeline from academic research to global markets.

The robotics and autonomous systems area has been highlighted by the UK Government in 2013 as one of the eight Great Technologies that underpin the UK's Industrial Strategy for jobs and growth. Key application areas include manufacturing, assistive and medical robots, offshore energy, environmental monitoring, search and rescue, defence, and support for the ageing population.

The University of Edinburgh and Heriot-Watt University are jointly offering this innovative four-year PhD training programme, which combines a strong general grounding in current theory, methods and applications with flexibility for individualised study and a specialised PhD project.

Robotics and autonomous systems are increasingly studied beyond the range of classical engineering. Today robots represent one of the main areas of application of computer science and provide challenges for mathematics and natural science.

It is impossible to imagine transportation, warehousing, safety systems, space and marine exploration, prosthetics, and many other areas of industry, technology and science without robots. Robots are used in theoretical biology and the neurosciences as a model of behaviour.

Areas of interest specific to the center include: movement control, planning, decision making, bio- and neurorobotics, human-robot interaction, healthcare applications, robot soccer, neuroprosthetics, underwater robotics, bipedal walking, service robots, robotic co-workers, computer vision, speech processing, computer animation realistic simulations, and machine learning.

Many more topics can be found be exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:

Training and support

Our four-year PhD programme combines Masters level coursework and project work with independent PhD-level research.

In the first year, you will undertake four or five masters level courses, spread throughout robotics, machine learning, computational neuroscience, computer architectures, statistics, optimization, sensorics, dynamics, mechanics, image processing, signal processing, modelling, animation, artificial intelligence, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take less courses and a larger project.)

At the end of the first year, successful students will be awarded an MSc by Research by the University of Edinburgh. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors. The PhD will be awarded jointly by the University of Edinburgh and the Heriot-Watt University.

You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.

Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.

Our user partners in industry include companies working in offshore energy, environmental monitoring, defence, assisted living, transport, advanced manufacturing and education. They will provide the real world context for research, as well as opportunities for reciprocal secondments, internships and involvement in our industrial engagement programme.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

You will have access to the outstanding facilities in the Edinburgh Robotarium, a national facility for research into robot interaction, supporting the research of more than 50 world-leading investigators from 17 cross-disciplinary research groups.

Research groups at the Edinburgh Robotarium include humanoid movement control, underwater, land and airborne autonomous vehicles, human robot interaction, bio- and neuro-robotics, and planning and decision making in multirobot scenarios.

In addition, our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.

Career opportunities

Our aim is to produce innovation-ready graduates who are skilled in the principles of technical and commercial disruption and who understand how finance and organisation realise new products in start-up, SME and corporate situations.

We intend for our graduates to become leaders in the globally emerging market for autonomous and robotic systems that reduce risk, reduce cost, increase profit and protect the environment. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.

Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.



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MSc Research by Robotics is a fast-developing discipline that combines long-established areas of electronic and mechanical engineering with the latest innovations in computing and life sciences. Read more
MSc Research by Robotics is a fast-developing discipline that combines long-established areas of electronic and mechanical engineering with the latest innovations in computing and life sciences. It's also behind a revolution in industry. Robotic devices now play a part in most sectors, particularly in defence and manufacturing, with emerging applications in personal care, medical intervention and entertainment.

Course detail

This course helps you to apply your creativity and knowledge to design and develop intelligent robots. It will provide you with the critical insight and practical skills to do exactly that, and is also fantastic preparation for a PhD in Robotics.

You'll already have a solid background in design tools, simulation techniques, software development, research methods, and the role of design in a business context. You'll also be familiar with computer-based systems for intelligent product design, development and optimisation.

You will apply your existing knowledge, understanding and creativity towards the context of your project, alongside significant independent study and using appropriate software. The course is designed to guide you towards new ways of working along with critical thinking, analysis, evaluation and problem solving skills.

Structure

The full Masters course comprises 180 credits divided into three 60 credit stages: Postgraduate Certificate, Postgraduate Diploma and Masters. Students work incrementally through the three stages and must pass all modules at each stage in order to progress to the next.

You'll undertake a substantial research project or dissertation (120 credits), plus four taught modules (15 credits each), one of which is compulsory:

• Research Investigation, Planning and Methods for Change (15 credits): An introduction to various approaches to research methodology in an engineering and technology environment. You will develop the ability to formulate research proposals, select appropriate methods of analysis and prepare and present research outcomes.

Format

You will study a range of core modules designed to enhance what you learn in your practical research training in our research centres. You'll learn through a combination of outside scheduled lectures and tutorials. You will also be encouraged to attend BRL seminars and workshops and to interact with researchers and students on other relevant robotics courses.

Assessment

We normally assess the taught component of the course through project work, assignments and examination.

Careers / Further study

The course provides an excellent route into this increasingly important area of industry, and is ideal preparation for PhD routes in robotics. We enjoy an excellent international studentship, and our alumni are active in related academic and professional roles all over the world.

The partnership between UWE Bristol and the University of Bristol has created a unique centre of excellence for engineering, in the heart of one of the UK's most important hubs for engineering industry especially in the aeronautical and electronics sectors. Bristol is a major base for companies such as Airbus, Rolls-Royce, Toshiba and Hewlett-Packard, with both universities enjoying close links.
The research project is assessed through a written report, your behavioural system or robot, and through presentation and discussion with a panel of experts.

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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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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The world of robotics is exciting and fast paced – revolutionising the way we live, work and play. This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. Read more
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc with an industrial placement year, making it a two-year course, or with a Masters industrial placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term you take taught modules.

Across the spring and summer terms you’ll work on your Masters Individual Project, either at the University or at a company.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and dissertation.

MSc project

On our Masters courses, you’ll complete a substantial MSc project, which is often practical as well as theoretical. The project is designed for you to excel in your personal and professional development and to consolidate the material covered in your modules.

It demands individual responsibility and exposes you to issues of:
-Project management
-Resourcing
-Planning
-Scheduling
-Documentation and communication
-Critical awareness and creative thinking

In Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor's International Scholarship (2017)
-25 scholarships of a 50% tuition fee waiver
-Application deadline: 1 May 2017

HESPAL Scholarship (Higher Education Scholarships Scheme for the Palestinian Territories) (2017)
-Two full fee waivers in conjuction with maintenance support from the British Council
-Application deadline: 1 January 2017

USA Friends Scholarships (2017)
-A scholarship of an amount equivalent to $10,000 for nationals or residents of the USA on a one year taught Masters degree course.
-Application deadline: 3 April 2017

Careers

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

Read less
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play. This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. Read more
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc without a placement or with a Masters industrial placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term, you take taught modules.

Across the spring and summer terms, you’ll work on your Masters Individual Project, either at the University or at a company.

For your placement, you work in an industrial setting for at least 40 weeks, making your MSc a two-year course (full time). We help you seek and apply for your placement.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and dissertation.

MSc project

On our Masters courses, you’ll complete a substantial MSc project, which is often practical as well as theoretical. The project is designed for you to excel in your personal and professional development and to consolidate the material covered in your modules.

It demands individual responsibility and exposes you to issues of:
-Project management
-Resourcing
-Planning
-Scheduling
-Documentation and communication
-Critical awareness and creative thinking

In Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor's International Scholarship (2017)
-25 scholarships of a 50% tuition fee waiver
-Application deadline: 1 May 2017

HESPAL Scholarship (Higher Education Scholarships Scheme for the Palestinian Territories) (2017)
-Two full fee waivers in conjuction with maintenance support from the British Council
-Application deadline: 1 January 2017

USA Friends Scholarships (2017)
-A scholarship of an amount equivalent to $10,000 for nationals or residents of the USA on a one year taught Masters degree course.
-Application deadline: 3 April 2017

Careers

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

Read less
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play. This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. Read more
The world of robotics is exciting and fast paced – revolutionising the way we live, work and play.

This course is for you if you’re a non-engineering graduate wishing to work for engineering companies. This MSc will give you the skills needed to work for employers developing or applying:
-Devices or systems for robotics and automation
-Smart systems with autonomous capability
-Ubiquitous and wearable computing

You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as:
-Project management, planning and scheduling
-Resourcing
-Documentation and communication

We also offer this MSc with an industrial placement year, making it a two-year course, or without a placement.

How will I study?

You’ll study an introduction to the course in the autumn term, with some tests and practical robotics projects. In the spring term you take taught modules.

Across the spring and summer terms you’ll work on your Masters Individual Project, either at the University or at a company.

For your Masters placement, you work in an industrial setting for at least 12 weeks. We help you seek and apply for your placement.

Modules are assessed via:
-Hands-on projects
-Reports
-Essays
-Unseen examinations

The project is assessed by a report, presentation and dissertation.

MSc project

On our Masters courses, you’ll complete a substantial MSc project, which is often practical as well as theoretical. The project is designed for you to excel in your personal and professional development and to consolidate the material covered in your modules.

It demands individual responsibility and exposes you to issues of:
-Project management
-Resourcing
-Planning
-Scheduling
-Documentation and communication
-Critical awareness and creative thinking

In Engineering and Design, project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department, and a member of faculty supervises the project.

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor's International Scholarship (2017)
-25 scholarships of a 50% tuition fee waiver
-Application deadline: 1 May 2017

HESPAL Scholarship (Higher Education Scholarships Scheme for the Palestinian Territories) (2017)
-Two full fee waivers in conjuction with maintenance support from the British Council
-Application deadline: 1 January 2017

USA Friends Scholarships (2017)
-A scholarship of an amount equivalent to $10,000 for nationals or residents of the USA on a one year taught Masters degree course.
-Application deadline: 3 April 2017

Careers

An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including:
-Smart technologies
-Driverless vehicles
-Vehicle design
-Renewable energies
-Film and television
-Car production
-Space or underwater exploration
-Commercialised agriculture
-Medical diagnosis
-Remote and minimally invasive surgery
-Crime prevention

Read less
Spanning 12 months full-time, this degree programme focuses on the intricate and unique field of medical device development and the key entrepreneurship and management skills required to get the device to market, from concept to business planning and market emergence. Read more

Spanning 12 months full-time, this degree programme focuses on the intricate and unique field of medical device development and the key entrepreneurship and management skills required to get the device to market, from concept to business planning and market emergence.

In addition to specific training in medical device entrepreneurship, you will also develop research and analytical skills related to bioengineering. This provides a solid foundation for those intending to go into industry or on to study for a PhD.

This is a very hands-on course, with much of the training and assessment based around a year-long project aimed at developing an engineering developmental and start-up business plan around a medical device concept.

The programme is supplemented by a small amount of formal teaching (see Course Structure below), and a requirement to attend least one seminar per week throughout the first two terms, either in the Department of Bioengineering or elsewhere in College.

About the Department

The Department of Bioengineering at Imperial College London is leading the bioengineering agenda both nationally and internationally, advancing the frontiers of our knowledge in the discipline’s three main areas: — Biomedical Engineering: Developing devices, techniques and interventions for human health. — Biological Engineering: Solving problems related to the life sciences and their applications for health. — Biomimetics: Using the structures and functions of living organisms as models for the design and engineering of materials and machines.

In the most recent Research Excellence Framework (2014), 95% of the Department’s returned research was judged either ‘world-leading’ or ‘internationally excellent’, confirming our position as the leading Department in the UK. We’re committed to building on this success, expanding both our basic and applied bioengineering research, and providing excellent training through our popular undergraduate, Masters and PhD programmes.

As befits a new and growing discipline, the Department’s staff come from diverse academic disciplines including all main branches of engineering, physical sciences, life sciences and medicine, creating a rich collaborative environment. The interaction of our staff, along with colleagues across the institution, ensures our research benefits from both engineering rigour and clinical relevance.

We focus on six core themes: — Biomechanics and Mechanobiology — Molecular and Cellular Bioengineering — Detection, Devices and Design — Implants and Regenerative Medicine — Human and Biological Robotics — Neural Engineering. These areas are connected and fluid, with staff and students working across more than one area, and often at the interfaces.



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The European Masters in Computer Vision and Robotics (VIBOT) is a collaboration between the three leading European institutions, the Universitat de Girona (Spain), the Université de Bourgogne (France) and Heriot-Watt University (Scotland). Read more

The European Masters in Computer Vision and Robotics (VIBOT) is a collaboration between the three leading European institutions, the Universitat de Girona (Spain), the Université de Bourgogne (France) and Heriot-Watt University (Scotland). It aims to meet the needs of industry for quality control and automation of industrial processes, and those in the field of health with the increasing importance of medical imagery in all its forms.

In recent years, the amount of digital information to be stored, processed and distributed has grown dramatically. The generalisation of the use of digital images, in video surveillance, biomedical and e-health systems, and remote sensing, create new, pressing challenges, and automated management tools are key to enable the organisation, mining and processing of these important knowledge resources.

The key subject areas are computer vision and robotics. Research in these areas are dynamic and relevant to a wide range of sectors, such as the car industry, the agro-alimentary field or the domain of health, with the active development of e-Health solutions. The course is over two years, students spend the first semester in France, the second in Spain and the third in Scotland. The fourth semester is reserved for Masters thesis.



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The MSc in Robotics will provide you with the ability to understand, design and implement modern robotic systems. Read more
The MSc in Robotics will provide you with the ability to understand, design and implement modern robotic systems. Robotics is increasingly prominent in a variety of sectors, from manufacturing and health to remote exploration of hostile environments such as space and the deep sea, and as autonomous and semi-autonomous systems that interact with people physically and socially.

This programme exposes you to a wide range of advanced engineering and computer science concepts, with the opportunity to carry out a practical robot project at the Bristol Robotics Laboratory, one of the UK's most comprehensive robotics innovation facilities and a leading centre of robotics research.

The programme is jointly awarded and jointly delivered by the University of Bristol and the University of the West of England, both based in Bristol, and therefore draws on the combined expertise, facilities and resources of the two universities. The Bristol Robotics Laboratory is a collaborative research partnership between the two universities with a vision to transform robotics by pioneering advances in autonomous robot systems that can behave intelligently with minimal human supervision.

Programme structure

Your course will cover the following core subjects:
-Robotics systems
-Robotic fundamentals
-Intelligent adaptive systems
-Robotics research preparation
-Image processing and computer vision
-Technology and context of robotics and autonomous systems
-Bio-inspired artificial intelligence

Typically you will be able to select from the following optional subjects:
-Computational neuroscience
-Uncertainty modelling for intelligent systems
-Introduction to artificial intelligence
-Learning in autonomous systems
-Design verification
-Animation production
-Advanced DSP and FPGA implementation
-Statistical pattern recognition
-Control theory
-Advanced techniques in multidisciplinary design
-Advanced dynamics
-Virtual product development
-Biomechanics
-Sensory ecology
-Transport modelling
-Electromechanical systems integration
-Advanced control and dynamics

Please note that your choice of optional units will be dependent on your academic background, agreement with the programme director and timetable availability.

Dissertation
During your second semester, you will start working on a substantial piece of research work that will make up one third of the overall MSc. It is possible to work on this project at Bristol Robotics Laboratory or in conjunction with one of our many industrial partners. Within the Bristol Robotics Laboratory, there are a number of themes from which projects may be chosen, including:
-Aerial robots
-Assisted living
-Bioenergy and self-sustainable systems
-Biomimetics and neuro-robotics
-Medical robotics
-Nonlinear robotics
-Robot vision
-Safe human-robot interaction
-Self-reparing robotic systems
-Smart automation
-Soft robotics
-Swarm robotics
-Tactile robotics
-Unconventional computation in robots
-Verification and validation for safety in robots

Further information is available from the Faculty of Engineering.

NB: Teaching for this programme is delivered at both the University of Bristol and the University of the West of England campuses. Students attending the programme will be given free transport passes to travel between the two universities.

Careers

Robotics is a huge field spanning areas such as electronics, mechanics, software engineering, mathematics, physics, chemistry, psychology and biology. Career opportunities include: automotive industry, aerospace industry, advanced manufacturing, deep sea exploration, space exploration, food manufacture, pharmaceutical production and industrial quality control.

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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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Biofluid mechanics applies engineering, mathematical and physical principles of fluids to solve complex and multifaceted problems primarily in biology and medicine, but also in aerospace and robotics. Read more

Research opportunities

Biofluid mechanics applies engineering, mathematical and physical principles of fluids to solve complex and multifaceted problems primarily in biology and medicine, but also in aerospace and robotics.

Our new MRes course covers a wide range of multidisciplinary training on the kinematics and dynamics of fluids related to biological systems, medical science, cardiovascular devices, numerical modelling and computational fluid dynamics (CFD), focusing on research. The MRes differs from an MSc in that you'll have the opportunity to perform multidisciplinary research for a longer time, preparing you for a research career and equipping you with world-class research knowledge.

The course is taught by the Department of Biomedical Engineering, with input from other departments across the faculty and the University.

During the course, you'll be supported by a strong team of academics with worldwide connections and you'll be offered a unique training and innovative teaching and learning environment.

Course director: Dr Asimina Kazakidi

Lecturer in Biofluid Mechanics

Course co-director: Professor Dimitris Drikakis

Executive Dean of Engineering and Professor of Engineering Science

What you'll study

This one-year programme consists of compulsory and optional classes in the first two semesters. Each class has timetabled contact hours, delivered predominantly in lectures, laboratories and tutorials.

The MRes research project will be chosen and started in semester one with guidance from a supervisor. Throughout the year you'll be working on your project.

Compulsory classes

Professional Studies in Biomedical Engineering
Research Methodology
MRes project

Elective classes

Biofluid Mechanics
Industrial Software
Medical Science for Engineering
Haemodynamics for Engineers
Numerical Modelling in Biomedical Engineering
Cardiovascular Devices
The Medical Device Regulatory Process
Entrepreneurship & Commercialisation in Biomedical Engineering
Introduction to Biomechanics
Finite Element Methods for Boundary Value Problems and Approximation
Mathematical Biology & Marine Population Modelling
Design Management
Risk Management

Guest lectures

During the course, academics and industrial speakers will be invited as part of the training. You'll also benefit from departmental seminars and knowledge exchange events.

Fees & funding

Fees

All fees quoted are per academic year unless otherwise stated.

Here are our fees for 2017/18:

Scotland/ EU

£4,195
Rest of UK

£4,195
International students

£19,100
Funding

If you can't find what you're looking for, try our scholarship search instead.

The fees shown are annual and may be subject to an increase each year.

Support & development

Careers

The new MRes course aims to train students in the Biofluid Mechanics field, targeting primarily the academic research market, but also the Medical Devices and Simulation/Analysis software industries and other related and new emerging markets.

Our postgraduates will benefit from acquiring world-class training and competitive skills in both biomedical and fluid dynamics disciplines that will make them highly employable at the following markets and related sectors/companies:

academic research
medical device market
simulation & analysis software market
biosimulation market
NHS & the healthcare/medical simulation market
life science research tools & reagents market
We've identified the current key vendors in each of the above markets and aim to create links with the relevant industry and monitor the changing market and employability trends, in order to adjust teaching modules and approaches and to enhance employability of our graduates.

Industrial partnerships

We've already established strong partnerships with industrial companies that have offered their support through the provision of software licenses and/or teaching material.

Student support

From financial advice to our IT facilities, we have loads of different support for all students here at our University. Get all the information you need at Strathlife.

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

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

What will you study?

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

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

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

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

Details on how to apply will be confirmed shortly.

Course structure

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

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

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