Program start date | Application deadline |
2023-09-19 | 2023-08-01 |
2024-01-09 | 2023-12-01 |
2024-09-01 | - |
Program Overview
This MSc explores revolutionary developments in the field of robotics, one of the fastest growing industries in the world. Its central component, the extended research project, offers you the opportunity to publish your research and build a career profile through theoretical and practical work at the Centre for Advanced Robotics.
Program Outline
Advanced Robotics MSc
Degree Overview:
This MSc programme explores revolutionary developments in the field of robotics, one of the fastest growing industries in the world. The program’s central component is the extended research project, offering you the opportunity to publish your research and build a career profile through theoretical and practical work at the Centre for Advanced Robotics. Developed advanced practical skills in the design, implementation, analysis and evaluation of real-world robotic systems. Demonstrated skills in independent research, including the ability to formulate a research question, design a research methodology, carry out data analysis and present research findings both orally and in written form through a dissertation. Developed effective communication, project management and team working skills.
Outline:
The MSc is closely aligned with The Centre for Advanced Robotics at Queen Mary (ARQ), which specialises in subjects such as human-machine interaction, perception, design and mechatronics, drones, and AI and cognition. ARQ provides students with access to high-quality research facilities, including robotics laboratories, robotics platforms, and other technical equipment. The program consists of four compulsory modules, two elective modules , and an extended research project.
Compulsory modules:
- Modern Robotics: Fundamentals and Applications
- It also provides an understanding of kinematics, dynamics and trajectory planning of robotic manipulators, actuators and sensors, principles and roles in robotics. It introduces various aspects of robot modelling and control and problems encountered in robot programming and their remedies.
- Extended Research Project
- The module is an intensive research module that spans all three MSc semesters. It draws together the knowledge and skills from the taught component to address a research challenge of significant scope to be undertaken independently, under supervision. It focuses on the technical, project management and communication skills needed to successfully execute academic- and/or industry-oriented research. The project entails to apply research methods to solve original problems of fundamental or applied nature.
- Mechatronics It integrates the themes of signal theory, metrology, sensing & transduction, signal acquisition and conditioning for further processing, analysis, characterisation and design of sensing electronic systems, system-level considerations and sensor data analysis techniques. The knowledge and skills developed through this module are essential for any student engaging in the design of systems which extract signals from, or interact with the real world, and are highly relevant to electronic engineers designing, testing and using sensing systems and applications.
- Cognitive Robotics
- This module addresses the emerging field of autonomous systems possessing artificial reasoning skills and also environment and context awareness. The module will introduce students to advance numerical and computational techniques associated with machine learning and artificial intelligence. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their coursework project.
Elective modules
You will be assigned an Academic Advisor who will guide you in both academic and pastoral matters throughout your time at Queen Mary. There are also a number of ways you can fund your postgraduate degree. Queen Mary alumni can get a £1000, 10%, or 20% discount on their fees depending on the programme of study. Find out more about the Alumni Loyalty Award. There are a number of ways you can fund your postgraduate degree. Queen Mary alumni can get a £1000, 10%, or 20% discount on their fees depending on the programme of study. Find out more about the Alumni Loyalty Award.
Fees and Funding
The program requires a degree from a recognised institution. This also includes a good 2:2 or above at undergraduate level in Engineering, Computer Science or a related discipline. If you have a different degree, you may be considered for the program with relevant work experience. For international students, the language requirements are an IELTS score of 6.5 overall, including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking.
Careers
Graduates of this program will be well-equipped to pursue Robotics Engineer positions in a wide range of industries, as well as doctoral research.
Home: £12,650 Overseas: £28,900 EU/EEA/Swiss studentsApply nowRegister your interest
Queen Mary University of London
Overview:
Queen Mary University of London is a public research university located in London, England. It is a member of the prestigious Russell Group of leading UK universities. Queen Mary is known for its strong research output, particularly in the fields of medicine, science, and humanities.
Services Offered:
Queen Mary offers a wide range of services to its students, including:
Accommodation:
Affordable accommodation options on or near the university's campuses in Mile End, Whitechapel, and Charterhouse Square.Careers and Enterprise:
Support for students in their career development, including job search assistance, internships, and networking opportunities.Library:
Extensive library resources, including books, journals, databases, and online resources.Student Life:
A vibrant student life with numerous clubs, societies, and events.International Student Support:
Dedicated support for international students, including visa advice, immigration guidance, and cultural integration programs.Student Life and Campus Experience:
Queen Mary provides a welcoming and inclusive environment for students from over 160 countries. Students can expect:
Global Community:
A diverse and international student body, fostering a rich cultural exchange.Campus Life:
A safe and secure campus environment with a range of facilities, including sports centers, cafes, and student spaces.London Advantage:
The opportunity to study in one of the world's most exciting and dynamic cities.Key Reasons to Study There:
Research Excellence:
Queen Mary is ranked highly for its research quality, offering students access to cutting-edge research and opportunities to work alongside leading academics.Diverse Academic Programs:
A wide range of undergraduate and postgraduate programs across various disciplines, including medicine, science, engineering, humanities, and social sciences.Global Reputation:
Queen Mary's strong reputation as a leading university attracts students and employers worldwide.London Location:
The university's location in London provides students with access to world-class cultural attractions, museums, theaters, and employment opportunities.Academic Programs:
Queen Mary offers a comprehensive range of academic programs, including:
Undergraduate Programs:
A wide variety of undergraduate degrees across various disciplines.Postgraduate Programs:
Taught and research postgraduate programs, including Master's degrees and PhDs.Online Programs:
Flexible online learning options for students who prefer distance learning.Other:
- Queen Mary is committed to sustainability and has implemented various initiatives to reduce its environmental impact.
- The university has a strong focus on equality, diversity, and inclusion, creating a welcoming and supportive environment for all students.
- Queen Mary has a rich history and is associated with several notable alumni, including Nobel laureates and prominent figures in various fields.
Entry requirements
Academic qualifications:
- A good 2:2 or above at undergraduate level in Engineering, Computer Science or a related discipline.
International students:
- A good 2:2 or above at undergraduate level
- in Engineering, Computer Science or a related discipline.
EU students:
- A good 2:2 or above at undergraduate level
- in Engineering, Computer Science or a related discipline.
Home students:
- A good 2:2 or above at undergraduate level
- in Engineering, Computer Science or a related discipline.
UK students:
- A good 2:2 or above at undergraduate level
- in Engineering, Computer Science or a related discipline.
Overseas students:
- A good 2:2 or above at undergraduate level
- in Engineering, Computer Science or a related discipline.