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Robotics at King's College London offers an innovative and comprehensive programme designed to equip students with a deep understanding of the fundamental principles and advanced technologies behind modern robotics systems. This interdisciplinary course combines principles from computer science, mechanical engineering, and electrical engineering to enable students to develop autonomous robots capable of perceiving, decision-making, and interaction within complex environments. Throughout the programme, students engage with cutting-edge topics such as robot kinematics and dynamics, artificial intelligence, machine learning, sensor integration, control systems, and human-robot interaction. The curriculum emphasizes hands-on practical experience, providing opportunities to work on real-world robotics projects using state-of-the-art simulation tools and laboratory equipment. Students learn to design, build, and program robots, gaining skills essential for careers in fields such as automation, manufacturing, healthcare, and research. The course prepares graduates to tackle contemporary challenges in robotics, including mobility, manipulation, perception, and autonomy, fostering innovative thinking and problem-solving abilities. With access to King's College London’s world-class facilities, students benefit from a vibrant academic community and collaboration with industry partners. The programme aims to produce highly skilled robotics professionals capable of contributing to technological advances and societal progress. Graduates will be well-equipped to pursue careers in research, development, industry, or academia, or to continue their education through postgraduate study. Emphasizing both theoretical foundations and practical applications, the Robotics programme at King's College London offers an exceptional education for aspiring engineers and scientists passionate about shaping the future of robotics technology.
Required Modules
- Individual research project and Dissertation (60 credits)
- Computer Vision (15 credits) *
- Sensors and Actuators (15 credits)
- Robotic Systems (15 credits)
- Real Time Systems & Control (15 credits)
Optional Modules
- Artificial Intelligence (15 credits) *
- Agents and Multi-Agent Systems (15 credits) *
- Advanced Research Topics (15 credits)
- Fundamentals of Digital Signal Processing (15 credits)
- Biologically Inspired Methods (15 credits)
- Distributed Systems (15 credits) *
- Group Project (15 credits)
- Optimisation Methods (15 credits) *
- Pattern Recognition (15 credits) *
- Topics on Data and Signal Analysis (15 credits)
*These modules are not available if you have previously studied in the Department of Informatics and have already taken this module at Level 6.
- Advanced Research Topics
- Agents & Multi-Agent Systems
- Artificial Intelligence
- Distributed Systems
- Group Project
- Optimisation Methods
- Pattern Recognition
- Bachelors degree with 2:1 honours degree (or international equivalent) in mechanical engineering (or other relevant subject e.g. physics, mathematics, electrical engineering).
- Applications must be made online using King's online application portal and a non-refundable application fee of £50 applies. Your application will be reviewed by an academic tutor and we aim to respond to applications within four to six weeks, although this may take longer during busy and holiday periods.
- Please include transcripts of subjects taken in the relevant degrees and copies of all certificates and relevant qualifications mentioned in your application.
The Robotics undergraduate program at King's College London offers a range of financing options to support students throughout their studies. Tuition fees vary depending on the student's residency status, with UK residents typically paying a lower rate compared to international students. For domestic students, tuition fees are set annually and can be covered through personal savings, family support, or student loans. International students usually have higher tuition fees, which can also be funded through a combination of personal funds, scholarships, and external financial aid sources.
King’s College London provides a variety of scholarships and bursaries specifically aimed at supporting students in STEM fields, including Robotics. These include merit-based scholarships awarded based on academic performance, as well as need-based bursaries for students demonstrating financial hardship. Eligible students are encouraged to apply early, as competition is high and funding is limited.
In addition to institutional funding, students may seek external scholarships, grants, or sponsorships from industry partners and government programs. The UK government offers student loans for eligible domestic students, providing the option to finance tuition and living costs over the duration of the program. International students are often required to demonstrate sufficient funding to cover their tuition and living expenses but may also access external scholarships or sponsorship opportunities.
Students are also advised to explore part-time work options available on or near the King's College London campus to help cover living expenses. The university's career services provide guidance on employment opportunities suited for students with busy academic schedules. Furthermore, some students benefit from research or teaching assistantships, which provide stipends and practical experience related to their field of study.
Overall, financing a Robotics degree at King's College London involves multi-faceted support options, combining institutional scholarships, government loans, external funding sources, and employment opportunities. Prospective students should carefully review the specific eligibility criteria and application deadlines for each financial aid program to maximize their funding opportunities.
Robotics at King's College London offers a comprehensive and innovative program designed to equip students with the essential skills and knowledge needed to excel in the rapidly evolving field of robotics. The curriculum integrates principles from computer science, engineering, artificial intelligence, and cognitive sciences to provide a multidisciplinary approach to understanding and developing robotic systems. Students gain hands-on experience through laboratory work, project-based learning, and collaborations with industry partners, preparing them for careers in robotics research, development, and application across various sectors such as healthcare, manufacturing, and autonomous systems. The program emphasizes both theoretical foundations and practical skills, including programming, control systems, sensors and actuators, machine learning, and human-robot interaction. It aims to foster innovation, critical thinking, and problem-solving abilities, enabling graduates to contribute to technological advancements and societal impact initiatives. The integration of state-of-the-art technologies and research-led teaching ensures that students are at the forefront of the field, gaining exposure to emerging topics like autonomous vehicles, drone technology, and robotic perception. The program is suitable for students with backgrounds in science and engineering who are passionate about creating intelligent machines and exploring the possibilities of robotics in the modern world. Upon completion, graduates will be well-equipped to pursue careers in academia, industry, or entrepreneurial ventures, or to undertake further research leading to advanced degrees. The program also offers opportunities for international exchanges and collaborative projects, enriching the learning experience and broadening global perspectives in robotics innovation.