Robotics and Autonomous Systems Engineering

Robots and autonomous systems are adopted into our daily lives and have important roles in a range of modern engineering disciplines including computer science, mechanical engineering, electrical and electronic engineering. Robotics and autonomous systems engineering is a multidisciplinary scientific and technological field applying complex systems (robots) to perform tasks done traditionally by human beings.

The importance of robots and autonomous systems lies in their strong economic contribution across diverse global market sectors. This exciting Masters course offers students the opportunity to study the most exciting aspects of Internet of Things, mechanical design, electronics and communication and apply them to the design and manufacture of smart autonomous systems. The program comprises a mix of core principles of this emerging field of autonomous systems. It provides a broad coverage of all of the major disciplines in automation, process industry and network analysis.

Career

From manufacturing units to experimental robotics for medical, military and automotive industries, the future of robotics finds tremendous opportunities for its budding professionals. Robotics Engineering is considered a high-end professional career worldwide. A Robotic engineer can be employed in manufacturing plants, laboratories, medical fields, mining, automation sector, life sciences, aerospace engineering, agricultural engineering, etc. There is a great demand for robotic engineers in the gaming industry and manufacturing units as well. This field can offer jobs like service and repair as well as designing and creating the interfaces and systems. It’s a multi-disciplinary field with growing opportunity as the industry expands.

This MSc can provide career opportunities, including jobs in the automotive industry, aerospace industry, medical robots, offshore energy and advanced industrial quality control.

You could be potentially working in the following sectors:

• Manufacturing plants

• Laboratories

• Medical fields

• Mining

• Automation sector

• Life sciences

• Aerospace engineering

• Agricultural engineering

Course structure:

• Advanced Embedded Systems

• Automation and Robotics

• IoT and Autonomous Systems

• Mechatronic Systems

• Modelling and Computation for Smart Places
• Network Security