Master of Science - Robotics

The Robotics MSc at Kingston University equips students with the knowledge and practical skills needed to pursue careers in advanced robotics. The programme covers key areas such as sensor design, control systems, and embedded systems, alongside hands-on experience in programming microcontrollers, designing electronic circuits, and testing robotic systems.

Through exposure to and simulation of advanced robotics, students develop the ability to tackle real-world engineering challenges while building in-demand technical expertise. Graduates are well prepared for roles in robotics and autonomous systems across industries including manufacturing, healthcare, and transportation, where demand for skilled professionals continues to grow.

The course covers a wide range of topics, including sensor design, control systems and embedded systems among others. Students will learn to program microcontrollers, design circuits, and use simulation tools to model and test their designed robots. Students will also gain practical experience in building and testing robotic systems, allowing them to apply their knowledge in real-world scenarios.

Many postgraduate courses at Kingston University allow students to take the option of a 12-month work placement as part of their course. The responsibility for finding the work placement is with the student; the University cannot guarantee the placement, just the opportunity to undertake it. Students may find securing a professional placement difficult as they are highly competitive and challenging, but they are also incredibly rewarding. It is very important to for students to prepare and apply themselves if this is the route they wish to take. Employers look for great written and oral communication skills and an excellent CV/portfolio. As the work placement is an assessed part of the course, it is covered by a student's Student Route visa.

Students will be well equipped to work in a variety of industries that are rapidly adopting automation and robotics technology, such as manufacturing, healthcare, logistics, and transportation. They will also be able to contribute to cutting-edge research in the field of robotics.