Masters degrees in Robotics & Cybernetics equip postgraduates with the skills to design, develop and produce man-made systems which mimic biological phenomena.
Taught MSc degrees are typical for the field, though research-based MRes and MPhil programmes may also be available at some institutions. Entry requirements normally include an undergraduate degree in a relevant Engineering or Science subject.
This theoretical and practical MSc Engineering (Cybernetics and Communications) course combines computer science, electronic engineering, mechanical engineering and management to enable greater understanding of cybernetics and communications.
An innovative and distinctive feature of the course is the cross-disciplinary group design project, which provides a challenging, simulated environment in which to work as a member of a team. The project will encourage you to develop your imagination, creativity and innovation in design solutions. You will also build on your leadership, team building and communication skills, all of which are attractive to potential employers.
Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.
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.
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.
70% coursework and 30% examination.
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.
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.
Many of our students work on final year projects in conjunction with aeronautical companies associated with the University.
Many of our students go on to further study at the Centre for Advanced Robotics which is very closely linked with this course.
Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.
Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.
Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.
• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence
• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems
• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work
• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal
• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering
First semester
• Research Methods
• Artificial Intelligence Programming
• Mobile Robots
• Fuzzy Logic
Second semester
• Artificial Neural Networks
• Computational Intelligence Optimisation (CIO)
• Applied Computational Intelligence
• Data Mining, Techniques and Applications
(Intelligence Systems only)
• Intelligent Mobile Robots (Intelligent Systems
and Robotics only)
Third semester
• Individual Project
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.
The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.
Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.
Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.
On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.
To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx
Applying for a postgraduate course:
Funding for postgraduate students
Mechatronics MSc at DMU is one of the longest established specialist courses of its kind in the UK. The Mechatronics MSc is accredited by the Institution of Engineering and Technology (IET), and focuses on enabling you to become proficient in communicating across a range of different disciplines, and delivering optimised engineering solutions using an integrated multidisciplinary mechatronics approach. You will be exposed to a broad range of engineering disciplines, learn to solve multidisciplinary mechatronics problems and develop the skills to apply a mechatronic approach to the solution of technical problems. All course content is relevant to modern day practise as our research informs our teaching, ensuring the course content covers current industry topics and issues. You also have the option to undertake a year-long work placement as part of this course, gaining valuable experience to apply for and enhance your practical and professional skills further.
• Accredited by the Institution of Engineering and Technology (IET)
ensuring you will benefit from the highest quality teaching, and graduate with a recognised qualification
• Graduate employability
Mechatronic engineers are in high demand as more industries seek to apply advances across a range of engineering disciplines
• Enjoy access to state-of-the-art facilities
including dedicated mechanical, electrical and electronic laboratories especially suited for mechatronics, as well as an for the manufacture of student designs
• Industry placement opportunity
you can chose to undertake a year-long work placement, gaining valuable experience to enhance your practical and professional skills further
• Work with leading research groups
you will be offered opportunities to work on projects with research groups within the faculty, including the Centre for Advanced Manufacturing Processes and Mechatronics, that are engaged in high-class, research and industrial collaboration and consultancy
• Course content relevant to modern day practice
our research informs our teaching, ensuring the course content covers current industry topics and issues
• Excellent graduate prospects
graduates enjoy exciting career opportunities in a range of fields such as robotics and automation, manufacturing, aerospace, material processing, energy and power.
• Electromechanics
• Mechatronic Systems - Engineering and Design
• Engineering Business Environment and Energy Studies
• Programming and Software Engineering
• Machine Vision, Robotics and Flexible Automation
• Engineering Systems: Dynamics and Control
• Microprocessor Applications and Digital Signal Processing
• Research Methods
This research can be industrially-based or linked to an industrial partner, attached to one of the mechatronic-related research teams within the faculty or in other collaborating institutions. The research project should be in an area relevant to Mechatronics, where clear evidence of the ability to solve a real multidisciplinary problem is demonstrated. The project assessment involves a formal presentation, production of a technical paper and a thesis.
Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your dissertation.
Teaching is delivered through a variety of methods including lectures, tutorials and laboratories. You will be expected to undertake self-directed study.
For taught sessions you will attend eight modules with a total of 48 hours (four hours per week for 12 weeks each), with eight hours per module per week of average additional self-directed study. For the individual project you normally will spend 13 weeks working five days (eight hours per day) a week to complete it, and have one hour per week contact time with your supervisor.
Research is carried out by the Mechatronics Research Centre, which holds a considerable number of UK and EU research project grants and has collaborative research links with more than 100 national and international organisations. The group is internationally regarded and specialises in machine design, control and simulation, fluid power systems and motion control.
As part of your studies, you will be offered opportunities to work on projects with research groups within the faculty that are engaged in high-class, leading-edge research and industrial collaboration and consultancy.
During the project element of the course, the Intelligent Machines and Automation Systems (IMAS) Research Laboratory provides access to dedicated research facilities
To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx
Applying for a postgraduate course:
Funding for postgraduate students
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.
Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.
Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.
Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.
• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence
• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems
• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work
• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal
• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering
First semester
• Research Methods
• Artificial Intelligence Programming
• Mobile Robots
• Fuzzy Logic
Second semester
• Artificial Neural Networks
• Computational Intelligence Optimisation (CIO)
• Applied Computational Intelligence
• Data Mining, Techniques and Applications
(Intelligence Systems only)
• Intelligent Mobile Robots (Intelligent Systems
and Robotics only)
Third semester
• Individual Project
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.
The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.
Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.
Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.
On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.
Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you will gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.
To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx
Applying for a postgraduate course:
Funding for postgraduate students
The Robotics MSc allows you to gain specialist knowledge relating to robotics and automation applications by examining the integration of mechanical devices, sensors, electronics and ‘intelligent’ computer-based controllers. You will also explore the latest developments in robotics while completing research and development work for your individual research project. You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project of 15,000 words. You will study robotic systems, computer vision, sensors and actuators, real-time systems and control. There are also opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests.
Robotics is a multi-disciplinary activity dealing with the integration of mechanical devices, sensors, electronics and ‘intelligent’ computer-based controllers. The programme is therefore built around core modules such as Robotic Systems, Computer Vision, Sensors and Actuators, Real Time Systems and Control, which are complemented by a wide range of optional modules. The final part of the programme is an individual project that is closely linked with the Department’s research activities.
For graduates in engineering or a related scientific discipline, from this programme you will gain an awareness of the latest developments in Robotics while completing research and development work for your individual research project. This will provide valuable preparation for a career in research or industry.
We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.
You are expected to spend approximately 150 hours of effort (i.e. about 10 hours per credit) for each module you attend in your degree. These 150 hours cover every aspect of the module: lectures, tutorials, lab-based exercises, independent study based on personal and provided lecture notes, tutorial preparation and completion of exercises, coursework preparation and submission, examination revision and preparation, and examinations.
Assessment
Assessment methods will depend on the modules selected. The primary methods of assessment for this course are written examinations and coursework. You may also be assessed by practical laboratory examinations, laboratory reports and oral presentations.
Via the Department’s Careers Programme students are able to network with top employers and obtain advice on how to enhance career prospects. Our graduates have continued on to have very successful careers in industry and research, working areas such as manufacturing, automotive and aerospace. Recent employers include Cummins Inc. and Transport Alstom.
Automation, control and robotics are pervasive enabling technologies found in almost every modern technical system, particularly in manufacturing and production. They combine the diverse and rapidly expanding disciplines of automation, control, mechanics, software and signal processing.
This course is ideal if you wish to develop comprehensive knowledge and understanding of • classical and modern control theory • industrial automation • systems analysis • design and simulation • robotics.
You gain the ability to apply principles of modelling, classical and modern control concepts and controller design packages in various areas of industry. You also learn how to design and exploit automation and robotic systems in a range of manufacturing and industrial applications.
The course has six core modules which cover the major aspects of industrial automation and control systems engineering and robotics, ranging from classical linear control system design to non-linear, optimal and intelligent control systems, including distributed control systems, robotics, computer networks and artificial intelligence.
You also choose two optional modules relevant to automation and control to suit your interests. For example, if you wish to work in the manufacturing industry you can choose manufacturing systems or machine vision. There is the opportunity to study one or two management modules if you wish to apply yourself to a more managerial role.
To gain the masters you complete a major research-based project, which can be focused on an area of your particular interest or career need.
You work alongside staff from the Electrical, Electronic and Control Engineering Group and the Centre for Automation and Robotics Research (CARR) at Sheffield Hallam. This provides the opportunity to work with active researchers.
This course is seeking accreditation by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirements for registration as a Chartered Engineer. The MSc will meet, in part, the exemplifying academic benchmark requirements for registration as a Chartered Engineer; graduates who have a BEng (Hons) accredited for CEng will be able to show that they have satisfied the further learning requirement for CEng accreditation.
Core modules
Options
Choose two from
MSc
This course provides you with the knowledge and skills for further advanced study in this area.
You can also apply your skills in an industrial setting for automated manufacturing, control system design, or in the wide range of industries that exploit intelligent robotics. Graduates from this course find career opportunities in areas including • automation and control • process and petrochemical • biomedical • manufacturing • energy • automotive • aerospace.
You can also pursue careers in engineering design and development, engineering research, engineering consultancy and engineering management.
Completing this course combined with further work-based experience enables you to gain Chartered Engineer status.
Develop your skills and enhance your career prospects with a masters degree in Cybersecurity and Artificial Intelligence
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