Why Study This Course?
Are you looking to pursue postgraduate studies in robotics and AI? This master’s course will put you well on your way to a career in robotics, artificial intelligence and machine learning. Structured to give you a thorough coverage of the key hardware-software components that underpin the design and implementation of modern engineering systems, this MSc is an ideal choice if you want to learn about the growing area of robotics and intelligent systems.
This degree programme is designed to enhance your career prospects through a module structure that balances theory and practice. It’s suitable if you’re a recent graduate from a connected discipline, or if you’re an experienced professional from a background such as electronics, mechatronics, computer science and computer networking.
More About This Course
Robotics with artificial intelligence, as part of intelligent and connected systems, is increasingly gaining prominence in diverse sectors and applications such as manufacturing, health, remote exploration of hostile environments, driverless cars, unmanned air vehicles (UAVs), robot floor cleaners, pharmaceuticals, toy – the list goes on, and it’s continuing to grow.
Completing this master’s course in robotics with artificial intelligence will see you gain hands-on experience in an exciting wide range of topics. You’ll learn about the development of embedded control systems for robots, artificial intelligence and machine learning, and in turn their applications, all with a focus on the practical implementation, both in hardware and simulation.
If you are looking to learn about robotic and autonomous systems for your future employment in related industries, or in order to pursue this field into a PhD, then this course is your ideal next step.
The scope for social and physical interaction between such sophisticated systems and people means that this field is likely to have a far-reaching impact in the coming decades. As a result, the industry is experiencing a huge demand for robotics specialists. On graduation you are likely to have a wider pool of opportunities to choose from and a higher starting salary than average across other comparable professions.
This MSc will expose you to cutting-edge knowledge and case studies through teaching content and your own projects. This is supported by world-leading research from London Met’s Centre for Communications Technology and our Cyber Security Research Centre. The tutorials, workshops and practical sessions in IT studios and specialised laboratories will enable you to work with professional software tools, development kits and engineering equipment.
Joining this course will give you access to our range of online facilities to support your independent learning. This includes our Virtual Learning Environment (VLE), which provides learning materials and collaborative learning tools 24/7, anywhere in the world. You’ll also benefit from free student membership for the Institute of Engineering and Technology (IET). The course is tailored to the IET’s guidelines for future accreditation and is expected to fulfil the academic requirements for you to become a Chartered Engineer after gaining appropriate professional experience. Guest speakers from the industry and practitioners from a range of disciplines are invited to share their knowledge and experience, often through student societies and University events.
Accreditation Of Prior Learning
Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course.
Modular Structure
The modules listed below are for the academic year 2021-22 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.
- Sensors, Actuators and Control, Core (20 credits)
- Robotics Systems, Core (20 credits)
- Computer Vision, Core (20 credits)
- Statistical Modelling and Forecasting, Core (20 credits)
- Artificial Intelligence, Core (20 credits)
- Discrete Mathematical Structures, Optional (20 credits)
- Semantic Technologies, Optional (20 credits)
- Information Security, Optional (20 credits)
- Machine Learning, Optional (20 credits)
- Operations and Technology Management, Optional (20 credits)
- MSc Project, Core (60 credits)
Where This Course Can Take You
The high demand for Robotics and Artificial Intelligence specialists in business and industry promises wider employability, a broader career path and higher starting salaries.
Careers in robotics include:
- Robotics Control System Engineer
- Electronics Engineer (Robotics)
- Robotic Stems Electronics Engineer
- Software Engineer/Developer – Robotics
- Electro-Mechanical Robotics Engineer
- Robotics Control System Engineer
- Robotics/Computer Vision Engineer
- Engineer in Robotics, Control & Automation Engineer – Robotics
- Graduate Robotics Engineer
- Computer Vision Engineer in Robotics
- Robotic Systems Engineer
- Embedded Software Engineer – Robotics, etc.
Careers in computer systems engineering include:
- Computer/IT Systems and Support Engineer
- Systems Engineering
- IT System Support Engineer
- Software Support Engineer
- Application Support Consultant
- System Support Engineer
- Graduate System Support Engineer
