London Metropolitan University · Full-time
Robotics with Artificial Intelligence
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 th…
MSc1 yearFull-time
Browse engineering and technology courses in UK
School of Computing and Digital Media · Engineering and technology
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 at London Met 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.
Getting in
As the university states it
You will be required to have: - a minimum of a lower second-class (2.2) honours UK degree (or equivalent) in electrical and electronic engineering, robotics, mechatronics, computer science or systems engineering, computing, computer networking, physics or a closely related discipline. Applicants who hold non-standard qualifications and/or have relevant professional experience may be considered on an individual basis and may be required to attend for interview. Programming skills with at least one of the popular languages (e.g. Java, Python, C/C++) and computational tools such as Matlab/Maple as well as some familiarity with electronic devices would be highly desirable.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.