BSc (Econ)(Hons) Economics, Finance and Management
Spanning three years, with options to extend to four or five years to include a year ab...
QMUL-Mile End London
INTAKE: September
The MSc in Advanced Robotics provides a comprehensive curriculum that covers the fundamentals of robotics, including design, kinematics, dynamics, control systems, electronics, programming, and machine learning. A significant component of the program is the extended research project, which allows students to apply theoretical knowledge to practical challenges, often in collaboration with industry partners.
Curriculum: The program consists of four compulsory modules, two elective modules, and an extended research project. Core modules include "Modern Robotics: Fundamentals and Applications," "Mechatronics," "Cognitive Robotics," and "Machine Learning and Artificial Intelligence for Engineering." Elective modules offer opportunities to explore specialized topics such as "Simulation and Model-Based Systems Engineering," "Medical Robotics and Surgical Techniques," and "Deep Learning for Data and Image Analysis."
Research Focus: Students engage in an intensive research project that spans all three semesters of the MSc program. This project is designed to address a research challenge of significant scope, undertaken independently under supervision. The focus is on developing technical, project management, and communication skills necessary for successful academic and industry-oriented research.
Industry Engagement: The program maintains strong connections with industry partners, providing students with opportunities to collaborate on real-world projects. Potential collaborations include companies such as Shadow Robot, Ocado, Google, Automata, Kuka, and Q-Bot. These partnerships enhance the practical learning experience and prepare students for careers in the robotics industry.
Global Perspective: Situated in London, a global hub for technology and innovation, Queen Mary University offers a diverse and international learning environment. The MSc program attracts students from around the world, fostering a multicultural academic community. This global perspective enriches the learning experience, preparing graduates to operate effectively in international and culturally diverse professional settings.
QMUL-Mile End London
IELTS: 6.5
£ 26750
Postgraduate Entry Requirements:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Queen Mary University of London offers a range of scholarships and bursaries to its students.
Queen Mary Principal's Scholars Program: A scholarship program for undergraduate students who have an offer of admission from Queen Mary University of London and have achieved exceptional academic grades. The scholarship covers full tuition fees for three years of study, as well as a £2,000 annual stipend for living expenses.
Queen Mary International Excellence Scholarships: A scholarship program for international undergraduate and postgraduate students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full tuition fees for one year of study.
Queen Mary Law Scholarships: A scholarship program for undergraduate and postgraduate law students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
Queen Mary Engineering and Materials Science Scholarships: A scholarship program for undergraduate and postgraduate students studying engineering or materials science who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
The MSc Advanced Robotics course at Queen Mary University of London opens up a wide range of exciting career opportunities in the rapidly growing field of robotics and automation. Graduates of this program are equipped with the knowledge and skills to tackle the challenges of designing, developing, and implementing advanced robotic systems.
Robotics Research and Development: Graduates can pursue careers in research and development in academia, government research institutes, or industrial R&D centers. They can contribute to cutting-edge research in areas such as robot perception, motion planning, robot control, human-robot interaction, and swarm robotics. Their work can drive advancements in robotic technologies and shape the future of automation.
Robotics Engineer: Many industries, including manufacturing, healthcare, logistics, agriculture, and entertainment, rely on robotics for increased productivity and efficiency. Graduates can work as robotics engineers, designing and developing robotic systems tailored to specific applications. They can be involved in the design of robot hardware, software programming, sensor integration, and system integration to create robust and intelligent robotic solutions.
Automation and Control Engineering: With their expertise in robotics, graduates can pursue careers in automation and control engineering. They can work on developing automated systems that optimize industrial processes, enhance productivity, and improve safety. They may design control algorithms, implement feedback control systems, and integrate robotic components with existing industrial systems.
Robotic System Integration: Graduates can work as robotic system integrators, combining various robotic components and technologies to create complete robotic systems. They can collaborate with engineers from different disciplines to integrate robots into existing infrastructure, such as manufacturing lines, healthcare facilities, or smart homes. They may be involved in system configuration, sensor integration, and software development for seamless operation.
Robotics Software Development: Robotics heavily relies on software to control and operate robotic systems. Graduates can pursue careers in robotics software development, designing algorithms and software frameworks for robot perception, planning, and control. They can work on developing software solutions that enable robots to interact with their environment, make intelligent decisions, and adapt to changing conditions.
Autonomous Vehicle Technologies: Autonomous vehicles, including self-driving cars, drones, and unmanned aerial vehicles (UAVs), are revolutionizing transportation and logistics. Graduates with a background in robotics can contribute to the development of autonomous vehicle technologies. They can work on perception systems, motion planning algorithms, and control strategies to enhance the safety and efficiency of autonomous vehicles.
Research and Development in Healthcare: Robotics has significant applications in healthcare, including surgical robotics, rehabilitation robotics, and assistive technologies for people with disabilities. Graduates can work in research and development roles in the healthcare industry, developing robotic systems that improve patient care, assist in surgical procedures, or aid in rehabilitation processes.
Entrepreneurship and Startups: Some graduates may choose to start their own robotics companies or join robotics startups. They can develop innovative robotic solutions for specific industries or offer specialized services such as robot customization, maintenance, or consulting. Entrepreneurial skills gained during the program can be valuable for those interested in building their own ventures.
Further Studies: The MSc Advanced Robotics program also provides a solid foundation for those interested in pursuing further studies at the doctoral level. Graduates can undertake Ph.D. research in robotics, artificial intelligence, or related fields, leading to academic positions or advanced research roles in industry.