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.
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.
Choose two from
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.
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.
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 to three optional modules (30 to 45 credits), up to two elective modules (30 credits), and a dissertation/report (105 credits).
Students must choose a minimum of 30 and a maximum of 45 credits from Optional modules. Students must also choose a minimum of 15 and a maximum of 30 credits from Electives.
Please note: the availability and delivery of modules may vary, based on your selected options.
A list of acceptable elective modules is available on the Departmental page.
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.
Further information on modules and degree structure is available on the department website: Robotics MRes
Scholarships relevant to this department are displayed below.
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
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.
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.
UCL scored highest among UK universities for the quality of research in Computer Science and Informatics in the 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.
Mechatronics, robotics and autonomous systems represent a range of important technologies which underpin many applications – from manufacturing and automation through to self-driving cars and robotic surgical tools.
Delivered by the Schools of Electronic and Electrical Engineering, Mechanical Engineering and Computing, this programme will equip you with the specialist knowledge and wide range of skills to pursue a career in this dynamic field.
Core modules will give you a foundation in the many applications of mechatronics and robotics and develop your understanding of the wide range of industry sectors that use robotics. You’ll also build research skills with a major project in fields as diverse as robot swarms, sensing systems, bio-inspired robots and surgical robotics.
Diverse optional modules will allow you to focus on topics that suit your interests and career plans, guided by academics whose teaching is informed by their own world-class research.
The Faculty of Engineering is an exciting and stimulating environment where you’ll learn in specialist facilities. These include an ABB robotic manufacturing cell, the Embedded Systems Lab, the Keysight Technologies Communications Lab, the National Instruments LabVIEW Academy, and computer clusters with a very wide range of industry-standard CAD/CAE/CAM software packages.
The three Schools that deliver this programme collaborate in research projects within the themes of surgical robotics, rehabilitation robotics, exploration robotics and future cities.