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Masters Degrees (Msc Robotics)

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In the near future robotic and other autonomous systems will be present in virtually every industry, with their global impact estimated to reach $6.5 trillion per year by 2025 (McKinsey). Read more
In the near future robotic and other autonomous systems will be present in virtually every industry, with their global impact estimated to reach $6.5 trillion per year by 2025 (McKinsey). As new markets turn to robotics for the next step in their evolution, the need for qualified robotic engineers has never been greater.

Why Study MSc Robotics at Middlesex University?
Our hands-on masters degree in Robotics blends practice with theory to equip students with the skills, knowledge and experience they need for a career as a robotics engineer. The postgraduate degree includes significant time working in laboratories under the supervision of our expert teaching staff, many of whom have worked in robotics since the early days of the technology.

Over the duration of the course you will gain experience working with industry-standard equipment in our cutting-edge labs and workshops. You will also benefit from our close to links to leading industry organisations, be encouraged to enter national robotics competitions and supported to undertake industry work placements during the masters.

Course highlights:
Learn in specialist facilities, which includes a wide range of robots, a £250,000 3D printer and Festo didactic automation training systems
Undertake a major study project in the area you wish to specialise in
Contribute to the wide range of robotics research being carried out in the school
Course leader Professor Martin Smith is one of the UK's leading robotics experts and was a judge on BBC Two's Robot Wars for six years.

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Our MSc Robotics will give you the opportunity to translate and develop your existing knowledge, understanding and skills to become an expert in robotics and autonomous systems (RAS). Read more

Our MSc Robotics will give you the opportunity to translate and develop your existing knowledge, understanding and skills to become an expert in robotics and autonomous systems (RAS).

You will develop the multidisciplinary knowledge and interdisciplinary skills needed to become one of the next generation of RAS engineers.

RAS is promising to deliver a step change in the way we live, work and interact on a day-to-day basis. In addition, large companies such as Google, Amazon and automotive and aerospace manufacturers are increasingly seeking to recruit in this area.

The course is taught by experts in control and systems engineering, computer science, electronic and electrical engineering, and psychology.

Modules

You'll study a mixture of modules in robotics, autonomous systems, engineering and computational intelligence, as well as advanced topics in vision, speech, neural networks, mobile robotics and computational neuroscience.

Core modules

Robotics

Biomechatronics

Robotics and Autonomous Systems

Hardware-in-the-Loop and Rapid Control Prototyping

Project

Examples of optional modules

Real-Time Embedded Systems

Feedback Systems Design

Adaptive Intelligence

Intelligent and Vision Systems

Teaching and assessment

There are lectures, seminars, tutorials, practical/laboratory work, design classes, individual assignments and a major research project.

You’re assessed on exams, coursework assignments and a project dissertation.



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Our Robotics degree offers a cross-disciplinary course on a subject that could revolutionise society in the next 20 years. It’s aimed at graduates with a good first degree in areas like Electrical and Electronic Engineering, Computer Science and Mechanical Engineering. Read more

Our Robotics degree offers a cross-disciplinary course on a subject that could revolutionise society in the next 20 years. It’s aimed at graduates with a good first degree in areas like Electrical and Electronic Engineering, Computer Science and Mechanical Engineering. The course is designed to help you develop your skills in specific aspects of robotic systems.

This robotics course is both theoretical and practical, aiming to give you the knowledge and skills you’ll need for international employment in this expanding and economically relevant area.You can also go onto further study at the EPSRC Robotics and Autonomous Systems Centre for Doctoral Training.



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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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Progress and innovation in robotics is now faster than ever, and is providing a wide range of industries and professions access to increasingly sophisticated autonomous and remotely operated devices with a widening range of applications and uses including manufacturing, agriculture, security and medicine. Read more
Progress and innovation in robotics is now faster than ever, and is providing a wide range of industries and professions access to increasingly sophisticated autonomous and remotely operated devices with a widening range of applications and uses including manufacturing, agriculture, security and medicine. As well as enjoying a growing commercial side, robotics also supports scientific research in unprecedented ways, giving us access to ever more remote, unpredictable and hazardous locations. Of course, it is also a major global research discipline in its own right, and robotics' progress has created a burgeoning worldwide demand for experts in a range of disciplines in this expanding billion-dollar industry.

Course detail

The MSc Robotics is available through a partnership between UWE Bristol and the University of Bristol, and provides a comprehensive understanding of advanced robotics and automation systems. While providing an excellent background for a range of technology careers that require robotics and automation knowledge and skills, it also offers the specialisms to support doctorate-level studies and ongoing research careers.

Uniquely, the partnership gives you access to the Bristol Robotics Laboratory, a world-leading centre for autonomous robotic systems and robotics research.

Modules

Core modules:
• Robotic Fundamentals (15 credits)
• Image Processing and Computer Vision (10 credits)
• Uncertainty Modelling for Intelligent Systems (10 credits)
• Animation Production (10 credits)
• Intelligent and Adaptive Systems (15 credits)
• Robotic Systems (10 credits)
• Research Skills (20 credits)
• Research Project (60 credits)

Optional modules from:
• Advanced Dynamics
• Computational Neuroscience
• Advanced DSP and FPGA Implementation
• Artificial Intelligence with Logic Programming
• Pattern Analysis and Statistical Learning

Format

You'll learn through a combination of lectures, seminars, group work, and through sessions at the Bristol Robotics Laboratory (BRL). The course is offered in partnership between UWE Bristol and the University of Bristol, and you will attend sessions at UWE Bristol's Frenchay campus, the University of Bristol, and BRL.

Assessment

You will normally be assessed through examination and coursework, as well as the dissertation.

Careers / Further study

The course provides an excellent route into this increasingly important area of industry, and into research and development.

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 whom both universities enjoy close links.

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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Robotics is on the cusp of an exciting new era as robots become more reactive, intelligent and human-like, as well as finding applications in a range of industries including consumer and healthcare robotics. Read more

Robotics is on the cusp of an exciting new era as robots become more reactive, intelligent and human-like, as well as finding applications in a range of industries including consumer and healthcare robotics.

We are in the midst of an increase in the pace of technological change and the changes in the coming decade will be a magnitude of order greater than anything that has gone before. A paradigm shift is about to take place that will forever change society; our ability to manufacture novel robots and new artificial intelligence techniques will both change the way we interact with technology and will allow technology to interact with us and our world in a far more nuanced way.

This new MSc Robotics Engineering reflects recent software and hardware technological advances and exposes students to new, much sought-after skills and up-to-date areas of research. Recent technological advances are incorporated into the course by developing novel cross disciplinary approaches and subject areas such as Embedded Systems, Artificial Intelligence and Virtual Reality.

Robotics Engineering covers a wide range of specific topics such as:

  • Robotics
  • Embedded Systems
  • Robots for special applications
  • Sensors
  • Actuators
  • Robot Navigation
  • Microcontrollers
  • Physical Computing
  • Artificial Intelligence
  • Virtual Reality
  • The Internet of Things

The course will include an introduction to Robotics, covering topics such as actuators, sensors and mechatronics, with examples and categorization of robots (from mobile robots to robot arms and interactive robots); robotic applications including biomedical robotics (e.g. for minimally invasive surgery) and robotic rehabilitation, robotic hands (metamorphic hands, grasping and sensing) and industrial robotics; embedded systems and microcontrollers including the Internet of Things; the robot as a computational unit based on sensing, reasoning and action; Artificial Intelligence, navigation and machine learning. You will have the opportunity to develop the hardware and software for a robotic system.



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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.

About this degree

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 to four optional modules (30 to 60 credits), up to two elective modules (30 credits), and a dissertation/report (60 credits).

Core modules

  • Robotic Control Theory and Systems (15 credits)
  • Robotic Sensing, Manipulation and Interaction (15 credits)
  • Robotic Systems Engineering (15 credits)
  • Robotic Vision and Navigation (15 credits)

Optional modules

Students will need to choose a minimum of 30 and a maximum of 60 credits from the optional modules.

  • Acquisition and Processing of 3D Geometry (15 credits)
  • Artificial Intelligence and Neural Computing (15 credits)
  • Image Processing (15 credits)
  • Inverse Problems in Imaging (15 credits)
  • Mathematical Methods, Algorithmics and Implementations (15 credits)
  • Numerical Optimisation (15 credits)
  • Research Methods and Reading (15 credits)
  • Terrestrial Data Acquisition (15 credits)

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

Students can also choose up to two elective MSc modules from across UCL Computer Science, UCL Mechanical Engineering and UCL Bartlett School of Architecture.

A list of acceptable elective modules is available on the Departmental page.

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 12,000 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.

Further information on modules and degree structure is available on the department website: Robotics and Computation MSc

Funding

Four MSc Scholarships, worth £4000 each, are made available by the Department of Computer Science to UK/EU offer holders with a record of excellent academic achievement. The closing date will be in June 2018. For more information, please see the department pages.

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

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

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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Launch yourself into the robotics research environment and develop the skills and confidence to conduct your own in-depth research project. Read more
Launch yourself into the robotics research environment and develop the skills and confidence to conduct your own in-depth research project. Gain current, advanced theoretical and practical knowledge from our world-leading experts in intelligent and interactive robotics. You’ll graduate ready for a future in the fast-moving world of personal and service robotics and with the skills to further your research to PhD level.

Key features

-Immerse yourself in an individual research project and learn how to communicate your motivation, methodology, and conclusions through a formal dissertation and summary paper.
-Get up-to-date with the latest developments in artificial life and intelligence, adaptive behaviour, information visualisation, neural computation and dynamic systems, as well as remote access and monitoring systems. Our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.
-Give yourself the edge. Our programme distinguishes itself from other robotics masters programmes, in the UK and abroad, by ensuring a deeper theoretical and practical knowledge of interactive and intelligent robotics.
-Expand your skills with first-class facilities including 3D rapid prototyping systems, in-house PCB design and assembly tools, and our award winning Plymouth Humanoid robots.
-Get expert training from members of the Marine and Industrial Dynamic Analysis (MIDAS) research group and the Centre for Robotics and Neural Systems (CRNS).
-Benefit by combining disciplines that are traditionally taught separately. You’ll graduate ready with the expertise and joined-up knowledge to design and develop fully integrated mechanical, electronic, control and computing systems.
-The taught elements of this programme are also delivered to students on Year 1 of the MSc Robotics Technology programme.

Course details

On this programme you’ll gain a solid and broad understanding of the latest developments and issues in robotics. You’ll build advanced theoretical and practical knowledge of control and design as well as covering the interface between real-world devices, autonomous processing and evaluation of acquired information. You’ll learn how to search, critically appraise and identify relevant research literature. You’ll also gain expertise in project management and personal effectiveness whilst immersing yourself in a substantial and innovative project inspired by the latest developments in technology and society. You’ll have access to a robotics club and to a seminar series so that you can keep up-to-date with advances in the industry and academia.

Core modules
-PROJ510 MRes Project

Optional modules
-ROCO503 Sensors and Actuators
-AINT511 Topics in Advanced Intelligent Robotics
-MECH533 Robotics and Control
-SOFT561 Robot Software Engineering
-AINT513 Robotic Visual Perception and Autonomy
-AINT512 Science and Technology of Human-Robot Interaction

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

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Our one-year full-time MSc in Human and Biological Robotics is a wide-ranging course covering robotics for humans and society, service and social robotics, rehabilitation technology, as well as machine vision, artificial intelligence and machine learning. Read more

Our one-year full-time MSc in Human and Biological Robotics is a wide-ranging course covering robotics for humans and society, service and social robotics, rehabilitation technology, as well as machine vision, artificial intelligence and machine learning.

It focuses on the understanding of neuromechanics, biomimetics design, signal and image processing and the application of robotics in health and everyday life.

This new Master's course has a unique focus on engineering methods which investigate human and animal sensing and sensorimotor control, and on the design of biomimetic systems and assistive devices for humans. It builds upon the unique strengths of the Department of Bioengineering and the wider College in this new field. 

You will be well supported by the Imperial Robotics Forum, which groups together robotics researchers at Imperial doing multidisciplinary research at the cutting edge of several disciplines. 

The course is taught by the Department of Bioengineering, where you will spend most of your study time, with additional input from the Departments of Aeronautics, Computing, Electrical and Electronic Engineering, Mechanical Engineering, and the Dyson School of Design Engineering.

Careers

You will follow an exciting programme of study at the forefront of an emerging discipline, which aims to ensure graduates develop a deep understanding of human and biological robotics.

There is also an emphasis entrepreneurship and collaboration with other disciplines, which makes sure graduates are highly employable across many types of organisations.

Our graduates are well placed for the following fields:

  • Further research in universities, research institutes, industry and healthcare
  • Design and production (of medical devices and biomimetic systems)
  • Freelancing, entrepreneurship and start-ups
  • Technical and commercial consulting

Further information

For full information on this course, including how to apply, see: http://www.imperial.ac.uk/study/pg/bioengineering/human-and-biological-robotics-msc/

If you have any enquiries you can contact our team at: http://www.imperial.ac.uk/study/pg/bioengineering/human-and-biological-robotics-msc/



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Subject Overview. Automation for the Food Industry Research. The food industry is very labour intensive and as a result is under threat from low wage economies. Read more

Subject Overview

Automation for the Food Industry Research

The food industry is very labour intensive and as a result is under threat from low wage economies. To allow companies to remain competitive they need to embrace automation. Led by Dr Steve Davis you will learn how many of the challenges found in the food industry cannot be addressed by conventional automation and how advanced systems and grippers are required.   

Cognition Robotics and Autonomous Systems

We use the term "cognitive robotics" to refer to robots with higher level cognitive functions that involve knowledge representation and reasoning.

You will work on robots with cognitive capabilities, which are key elements to autonomous systems, such as perception processing, attention allocation, anticipation, planning, reasoning about other agents, and perhaps reasoning about their own mental states. Several projects are currently undertaken in this area in collaboration with psychologists and neuroscientist from European institutions. This course is led by Prof. S. Nefti-Meziani and Dr T. Theodoridis. 

Biologically Inspired Robotics Research

Dr Steve Davis leads this research which covers all areas of biologically inspired robotics. Future robots will move away from operating solely in factories and will interact more closely with humans. This will require a more natural/biological-like human-machine interaction. You will work with new design approaches and learn how they will shape future robotic systems. You will learn how traditional actuators have many shortcomings and how compliance can greatly improve the safety of human robot interaction, and also how these technologies have application in healthcare and rehabilitation applications. 

End-effectors and robot hands

Also led by Dr Steve Davis, this research area is concerned with the development of advanced end effectors. You will learn how innovative approaches can be used to grasp difficult to handle products. This course will also teach you how multi-fingered dexterous end-effectors, similar to the human hand, can handle a broad range of products, and how these technologies can be used in tele-presence tasks. 

Swarm Intelligence and Multi-Agent Systems

This research theme, as led by Prof. S. Nefti Meziani and Dr T. Theodoridis, concerns the development of an Intelligent Collaborative Behaviour using Multi-Agent Systems/robots using novel swarm intelligent techniques. We have introduced the irrationality theory applied in path planning, obstacle avoidance and emergent behaviours, using the Khepera robots (K-Team) and the Webots simulator. 

You will study and implement intelligent algorithms, which can be used for simulating viscoelastic behaviours for particle systems. Other relevant areas you can be involved in are crowd behaviour modelling, space and security robotics, and swarm and cognitive agents. 

Uninhabited Autonomous Systems/Air Vehicles (UAS/UAV)

Prof. S. Nefti Meziani, Dr A. Jones, and Dr E. Chadwick lead the research into how uninhabited autonomous systems (UAS) cope with unscripted procedures when conducting a mission where commands are issued at high levels of abstraction. It is designed around human-centric needs with the ability to perform tasks in accordance with instructions which lack adequate 'terms of reference'. You will work in autonomous systems that involve humans-in-the-loop.

Research Excellence

The centre's activities originated in 1987 when The University of Salford was chosen as the site of the United Kingdom's National Advanced Robotics Research Centre. Since then Robotics has formed a major strategic direction within Engineering in the University and Salford, where Researchers have been at the forefront of strategic national developments initiated by the Department of Trade and Industry (DTI), the Department for Environment, Food and Rural Affairs (DEFRA) and the Engineering and Physical Sciences Research Council (EPSRC), and international developments within the E.U. 

The centre houses a multidisciplinary group lead by Prof Samia Nefti-Meziani with interests in autonomous systems and robotics and their constituent technologies. The group has strong national and international links with both industry and other research institutes. The core group of researchers in the laboratory includes over a dozen graduate students and three senior academic research members. 

The group has a long history of attracting research funding including the EU FP7 projects Novel Q and RobotCub. It has also received funding in both the food and aerospace sectors and has recently been awarded the national GAMMA project targeted at autonomous systems for the aerospace sector. Due to its international reputation for robotics research the group has been awarded €4M by the EU ITN Marie Curie Project to form an Initial Training Network which will train the future leaders in the field of robotics

Employability

Graduates are expected to find employment in a range of industries. Robotics and Embedded Systems are continuously developing topics that present many career opportunities in areas such as embedded systems design, robotic design, control systems design and integration, engineering management and research.

Students leaving the School with a postgraduate research degree are well placed to lead and manage research and development activities in a number of areas. Globally, a postgraduate research qualification is usually a prerequisite for an academic career and several of our alumni are now senior academics.

Links With Industry

The research groups have strong links with industry in all areas of robotics and systems engineering. These include large multinationals such as Airbus, BAE, Festo and ABB, to name just a few, through to small SMEs working in related fields. The group also has links with public sector organisations such as the NHS, fire and police service. The main benefit of these links for students is the ability to work on real world problems potentially leading to their research being adopted in by industry. The links also provide students with the opportunity to gain experience of working with industry and meeting its needs.



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Taking BEng (Hons) Robotics to the next level, this MEng course digs deeper into the robotic technologies that are shaping today and tomorrow. Read more
Taking BEng (Hons) Robotics to the next level, this MEng course digs deeper into the robotic technologies that are shaping today and tomorrow. Providing an extra year of insight and training, your learning will be informed by robotics research pushing boundaries worldwide led by our very own teaching staff. You’ll build technical and managerial skills that you can put into practice daily, through a final group project that will set your course for success when you graduate.

You will experience learning that meets the highest standard academic requirements set by The Institution of Engineering and Technology (IET). You will draw on unique opportunities to engage in world-class robotics research, and in a variety of activities. You’ll capitalise on the opportunity to take a work placement in your second or third year, putting your robotics skills into action in the real world. You will take the fastest route to Chartered Engineer status.

Key features

-Benefit from outstanding teaching: in the 2016 National Student Survey 93 per cent of our final year students said that “The course is intellectually stimulating”.*
-Immerse yourself in a degree accredited by the Institution for Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer (CEng).
-Keep pace with the fast-moving world of robotics, on a course that cuts a path through the latest research across technologies and disciplines.
-Take the fastest route to Chartered Engineer status.
-Experience learning that meets the highest standard academic requirements set by The Institution of Engineering and Technology (IET).
-Undertake a major robotics design and implementation in your final project, showcasing your technical and managerial skills. Develop your technical content, legal and business skills as well as team working and project planning.
-Capitalise on the opportunity to take a work placement in your second or third year, putting your robotics skills into action in the real world.
-Rise to the challenge as part of the Plymouth Humanoids team, battling it out in a variety of international robot competitions.
-Develop professional writing skills as well as strengthening your technical design skills.
-Refine your professional project management skills, with dedicated professional support from staff across the entire final year on every different aspect of your project.
-Work alongside internationally-renowned staff in a leading service and cognitive robotics research environment.
-Draw on unique opportunities to engage in world-class robotics research, and in a variety of activities (for example, in the humanoid robot football, Federation of International Robot-soccer Association (FIRA) competition).

Course details

Year 1
In your first year you'll learn through doing, developing your knowledge and practical problem solving skills in our dedicated robotics and communications laboratories. From analogue and digital electronics to engineering mathematics, you'll build up the essential foundations of robotics. Group project work will also help you develop your communication skills and you'll learn structured design procedures for hardware and software all brought together in an integrating robotics project.

Core modules
-ELEC143 Embedded Software in Context
-BPIE112 Stage 1 Electrical/Robotics Placement Preparation
-ELEC141 Analogue Electronics
-ELEC142 Digital Electronics
-ELEC144 Electrical Principles and Machines
-MATH187 Engineering Mathematics

Optional modules
-ELEC137PP Electronic Design and Build
-ROCO103PP Robot Design and Build

Year 2
Throughout your second year, you'll develop a greater understanding of underlying engineering principles and circuit design methods. Again there's an emphasis on team-work, with the opportunity to do both group and individual presentations of your projects. You'll use industrial standard software tools for design and simulation, data monitoring and control, all valuable preparation for your final year individual project or for a placement year.

Core modules
-MATH237 Engineering Mathematics and Statistics
-ROCO222 Introduction to Sensors and Actuators
-BPIE212 Stage 2 Electrical/Robotics Placement Preparation
-ROCO224 Introduction to Robotics
-ROCO218 Control Engineering
-ELEC240 Embedded Systems
-ELEC241 Real Time Systems

Optional placement year
Your optional work placement experience gives opportunities to put theory into practice, grow your understanding of robotics in the real world and showcase your growing expertise. We can help you find industrial placement opportunities in the UK, France, Germany or even Japan. Placements will complement your studies with on-the-ground experience and could lead to final year sponsorship. Many of our graduates are offered permanent jobs with their placement company.

Core modules
-BPIE332 Electrical Industrial Placement

Year 4
This is when your skills, expertise and know how come into their own. Through your individual project you'll consolidate your knowledge, explore and evaluate new technologies and showcase your potential. You'll demonstrate your communication skills in an oral and written presentation of your project. Refining the independent learning skills you've developed throughout the course, you'll build a proactive, imaginative and dynamic approach to learning, vital for your future robotics career.

Core modules
-ROCO318 Mobile and Humanoid Robots
-PROJ324 Individual Project
-ELEC351 Advanced Embedded Programming
-AINT308 Machine Vision and Behavioural Computing

Optional modules
-ELEC345 High Speed Communications
-AINT351 Machine Learning

Final year
The MEng includes additional technical modules and a large interdisciplinary design project. There is also the possibility of continuing your studies to MSc level in the same academic year.

Core modules
-ROCO503 Sensors and Actuators
-ROCO504 Advanced Robot Design
-PROJ515 MEng Project
-AINT512 Science and Technology of Human-Robot Interaction

Every undergraduate taught course has a detailed programme specification document describing the course aims, the course structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

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This MSc course aims to integrate two active and rapidly developing fields, computational neuroscience and cognitive robotics, to generate innovative strategies and solutions for scientific problems and technological limitations. Read more

This MSc course aims to integrate two active and rapidly developing fields, computational neuroscience and cognitive robotics, to generate innovative strategies and solutions for scientific problems and technological limitations.

From modelling human cognition to programming robots to act in their environment, this course crosses the boundary between several disciplines, including biology, neuroscience, psychology, and computer science. 

Course details

The CNCR MSc course is highly interdisciplinary encompassing psychology, cognitive science, neuroscience, computational modelling, neuroimaging, robotics, and patient rehabilitation. The Course is designed for those who are interested in applying knowledge of neural systems, brain function, and modeling to research in human cognition, perception, sensory and motor systems as well as the design of bio-inspired and biologically plausible robotic systems. It has a strong research focus with hands-on modules and practical applications. The course is aimed at both students from psychology/neuroscience with a strong quantitative background and at students from computer science and physics that want to apply their knowledge to neuroscience.

Programme organisation

A significant part of the CNCR MSc Course involves being part of a research group and conducting an independent research project. For this, you will be assigned to a supervisor and supervise the research project. Your research project is written up as the masters dissertation and counts for one third of your degree. Exposure to a different research group is intended to broaden research experience and widen research skills repertoire.

The course is organised jointly through the Schools of Psychology, Computer Science, Sport, Exercise and Rehabilitation Sciences and Electronic, Electrical and Systems Engineering.

Your choice of course modules will be individualised and agreed between you and your supervisor. The goal is to develop your knowledge and skills to allow you to carry out your research project in Semester 3 while learning a wide range of neuroscience, computation, and experimental method topics. Several modules rely on Matlab programming skills for their practical exercises, which could be used also in the placement and project. Students that don't have a sufficient programming knowledge will be required to attend a programming course in Semester 1. 

You will be taught to devise a research plan, and will read and comment on scientific articles. You will choose the topic for your research project with the help of a research proposal module. A year-long CNCR Foundations module allows you to participate in CNCR seminars, journal clubs, and lab activities to have sufficient knowledge to carry out the research project. This will expose you to cutting edge research and labs. 

For more module information see the Modules section.

Projects

You can select from a range of research topics depending on your areas of interest, and there are a number of supervisors who can provide support. See some of the recent projects and placements undertaken by students on the programme.

See MSc CNCR frequently asked questions (PDF 88KB)

Learning and teaching

Material is delivered through lectures, workshops and hands-on training in cutting edge laboratories. 

Some of the key features of this course and areas of focus for student learning include:

  • Coverage of brain and cognitive function, including brain imaging
  • Introduction to cognitive robotics
  • Hands-on training in state-of-the-art laboratories
  • Detailed research project cutting across disciplines 

Employability

You will receive training in computational and research methods, and will gain an overview of current research in neuroscience and robotics. The programme will prepare you to go onto high quality PhD programmes, leading to work in a range of fields from advanced robotics to cognitive neuroscience.

Many of our students receive job offers before they graduate. Recent students have found employment working and training in an IT consultancy; software engineering at Google; and setting up startup companies to develop IT products inspired by human cognition.

Several of our students receive PhD offers before completing the course; one of our recent students will be studying for a PhD in computational neuroscience at University College Dublin with funding secured via a postgraduate award from the Irish Research Council. Others choose to stay at Birmingham for PhD study. The course gives you an opportunity to showcase your talent in the School of Psychology and the School of Computer Science, and to increase your chances of pursuing an academic career within the University of Birmingham.



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The MSc in Intelligent Robotics will provide the opportunity to learn about the growing area of mobile and autonomous robotics, and intelligent systems. Read more
The MSc in Intelligent Robotics will provide the opportunity to learn about the growing area of mobile and autonomous robotics, and intelligent systems. You will gain experience in an exciting wide range of topics, providing you hands-on experience. You will learn about the development of embedded control systems for robots, intelligent algorithms and their application to robotics, communications and systems programming, all with a focus on the practical implementation, both in hardware and simulation. The MSc culminates in a large group project focussed on collective robotic systems, ranging from ground-based units to flying robots. You will have the opportunity to work in a state of the art, dedicated, robotics laboratory for some of your modules and your final project, see the York Robotics Laboratory website for more details on the lab.

The MSc is intended for students who want to learn about robotic and autonomous systems for employment in related industries, or who are seeking a route into a PhD.

The broad aims of the course are to provide:
-A thorough grounding in the use of scientific and engineering techniques as applied to intelligent robotic systems
-A detailed knowledge of the development and deployment of intelligent robotic systems
-A detailed knowledge of the latest developments in intelligent robotics and an ability to reflect critically on those developments
-A detailed understanding of engineering collective robotic systems with emergent behaviours
-Experience of undertaking a substantial group project, on a subject related to research in autonomous robotic systems

Group Project

The aim of this substantial group project is to immerse the students in a life-like scenario of a group of engineers developing a large scale collective robotic system. The project will involve the design, construction and implementation of the control of a heterogeneous collective robotic system, providing students with practical experience of project management and team skills. The system will include both software (such as individual and collective robotic control, low-level programming) and hardware (such as hardware design or customisation) components. The project will culminate in the design and realisation of a collective robotic system that will undergo various test scenarios in the robotics laboratory.

The project preparation will begin towards the end of the Autumn term when groups will be develop a Quality Assurance manual, that will prepare the students to establish effective group policies, procedures and roles for group members, introducing the Quality Assurance processes applied to medium to large projects in industry. The group will be given a scenario and begin establishing requirements and develop outline designs.

In the Summer term, the project will get under way. Groups of 4-6 students will be formed, assigned a target system to design, and provided with a budget. In this term, the students will prepare a design document that will be followed for the remainder of the project. Detailed system specifications will be established and initial prototypes developed. You will make full use of the Robotics Laboratory and spend the vast majority of your time working on robotic systems and attempting to develop an innovative solution to the problem given. Full technical support is available in the laboratory.

A final presentation of each group is done in September where live demos of the system developed have to be provided. This is combined with a group presentation on the work undertaken and contributions made by each individual. Group documentation is submitted along with an individual report.

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IN BRIEF. Gain a firm grounding in control engineering and intelligent systems concepts. This course has a particular emphasis on advanced robotics, where robots are designed to operate with a degree of intelligence. Read more

IN BRIEF:

  • Gain a firm grounding in control engineering and intelligent systems concepts
  • This course has a particular emphasis on advanced robotics, where robots are designed to operate with a degree of intelligence
  • Projects supported by internationally-leading research
  • Part-time study option
  • International students can apply

COURSE SUMMARY

This course is for students who already have a strong engineering background and wish to specialise in robotics and automation. This course has a particular emphasis on advanced robotics, where robots are designed to operate with a degree of intelligence.

You will gain a firm grounding in control engineering and intelligent systems concepts, along with the ability to comprehend and fully specify integrated automation systems embodying intelligence, robotic and automation hardware and software, and virtual reality (VR)/simulation technologies.

The course also provides a suitable background for research in advanced autonomous systems with reference to robotics.

TEACHING

You will be taught via a series of lectures and workshops with many of the modules taught via extensive hands-on practical lab-based sessions.

Practical experience includes the use of robotics platforms to produce a software system using the MATLAB toolboxes or the C programming language or to produce a finished hardware/software based mobile robotics system.

ASSESSMENT

70% coursework and 30% examination.

FACILITIES

There are dedicated labs and facilities for Robotics and Automation students, including: Industrial robots, flexi-picker, manipulators (Hitachi, KUKA) humanoid robots plus many mobile robots. Plus dedicated computing facilities

And if you do your MSc Project with an aerospace company, as many of our students do, then you will also have access to their facilities.

EMPLOYABILITY

Graduates from this course can expect to find employment in a range of industries. Robotics and automation are continuously developing topics that present many career opportunities in areas such as robotic design, control systems integration and design, factory automation, engineering management and research.

LINKS WITH INDUSTRY

Many of our students work on final year projects in conjunction with aeronautical companies associated with the University.

FURTHER STUDY

Many of our students go on to further study at the Centre for Advanced Robotics which is very closely linked with this course.



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Be inspired to innovate and develop the robots, artificial intelligence and autonomous systems of tomorrow’s world. Read more
Be inspired to innovate and develop the robots, artificial intelligence and autonomous systems of tomorrow’s world. Gain advanced theoretical and practical knowledge from our world-leading experts in interactive and intelligent robotics, and graduate ready to pursue an exciting career in anything from home automation to deep sea or space exploration. You’ll also have the opportunity to gain invaluable industry experience and cultivate professional contacts on an integral work placement.

Key features

-Enhance your employability and grow your professional network with an optional integral work placement. You can choose to work in the UK, or overseas in countries including France, Germany or Japan.
-Get up-to-date with the latest developments in artificial life and intelligence, adaptive behaviour, information visualisation, neural computation and dynamic systems, as well as remote access and monitoring systems. Our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.
-Give yourself the edge. Our programme distinguishes itself from other robotics masters programmes, in the UK and abroad, by ensuring a deeper theoretical and practical knowledge of interactive and intelligent robotics.
-Expand your skills with first-class facilities including 3D rapid prototyping systems, in-house PCB design and assembly tools, and our award winning Plymouth Humanoid robots.
-Get expert training from members of the Marine and Industrial Dynamic Analysis (MIDAS) research group and the Centre for Robotics and Neural Systems (CRNS).
-Become a professional in your field – this programme is accredited by the Institution of Engineering and Technology (IET).
-Benefit by combining disciplines that are traditionally taught separately. You’ll graduate ready with the expertise and joined-up knowledge to design and develop fully integrated mechanical, electronic, control and computing systems.

Course details

On this programme you’ll gain a solid and broad understanding of the latest developments and issues in robotics. You’ll build theoretical and practical knowledge of control and design as well as covering the interface between real-world devices, autonomous processing and evaluation of acquired information. You’ll investigate user interaction and intelligent decision-making and immerse yourself in an innovative project inspired by the latest developments in technology and society. You’ll have access to a robotics club and to a seminar series so that you can keep up-to-date with advances in the industry and academia.

Core modules
-ROCO503 Sensors and Actuators
-BPIE500 Masters Stage 1 Placement Preparation
-PROJ509 MSc Project
-AINT511 Topics in Advanced Intelligent Robotics
-MECH533 Robotics and Control
-SOFT561 Robot Software Engineering
-AINT513 Robotic Visual Perception and Autonomy
-AINT512 Science and Technology of Human-Robot Interaction

Optional modules
-BPIE502 Electrical/Robotics Masters Industrial Placement

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

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