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.
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.
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 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.