Program start date | Application deadline |
2024-09-01 | - |
Program Overview
Queen Mary University of London's Robotics Engineering program equips students with the skills to design and build robots and intelligent systems. The program combines expertise in mechanical, electronic, and computer systems, preparing graduates for careers in various sectors, including manufacturing, healthcare, and research. Students benefit from world-leading experts, state-of-the-art facilities, and opportunities for research and industry collaboration.
Program Outline
Degree Overview:
Overview:
This program provides hands-on experience with designing and building robots and intelligent systems, exploring their applications across various sectors like manufacturing, healthcare, transport, agriculture, and energy. The program combines expertise in mechanical, electronic, and computer systems to equip students with the knowledge and skills required to excel in this evolving field.
Objectives:
The program aims to:
- Equip students with the ability to design and build robots and intelligent systems.
- Provide students with the knowledge of how robots and intelligent systems are applied across various sectors.
- Prepare students for careers in Robotics Engineering.
- Develop students' expertise in mechanical, electronic, and computer systems.
Description:
- The program was one of the first in the UK to provide core robotics education.
- Queen Mary is renowned for its expertise in this field, with world-leading experts, robotics hub, rapid prototyping facilities, MakerSpace, and electronics laboratories.
- Students will learn robot design and control, computer programming, software engineering, embedded systems, and artificial intelligence.
- MEng option offers specialization in areas like computer vision, machine learning, and real-time control.
- Research opportunities are available through the Centre for Advanced Robotics, focusing on autonomous systems, cognition, human-robot interaction, and medical robotics.
Outline:
Program Content:
- Covers the design, building, and application of robots and intelligent systems.
- Includes core areas like robot design and control, computer programming, software engineering, embedded systems, and artificial intelligence.
- Offers specialization in areas like computer vision, machine learning, and real-time control for MEng students.
Structure:
- Available in three, four, or five years (BEng, BEng with Foundation, MEng).
- Year 1 and 2: Focus on core robotics engineering fundamentals.
- Year 3 and 4 (BEng): Advanced robotics engineering modules and a group project.
- Year 4 and 5 (MEng): Advanced modules, a group project, and an industry/research project.
Course Schedule:
- Includes lectures, laboratory practicals, and problem-based learning.
- 14-17 hours of formal teaching per week.
- Independent study for additional 1-2 hours per hour of class time.
Modules:
- Year 0 (Foundation): Physics, Mathematics, Communication in Science & Technology, Introduction to Engineering.
- Year 1: Engineering Design, Experimental Design and Practice, Computational and Mathematical Modelling, Procedural Programming, Exploring Engineering.
- Year 2: Introduction to Robotics, Instrumentation and Measurements, Introduction to Artificial Intelligence, Neuromechanics and Bioelectricity of Movement, Control System Analysis and Design, Robot Design and Mechatronics, Numerical Methods and Data Science in Engineering, Professional Skills for Engineers.
- Year 3: Integrated Design Project, Modelling and Control of Robotic Systems, Design for Human Interaction, Advanced Robotic Systems, Neural Networks and Deep Learning, Advanced Professional Skills for Engineers.
- Year 4 (BEng): Cognitive Robotics, Industry/Research Project, Mechatronics.
- Year 4 (MEng): Advanced modules, group project, industry/research project.
Assessment:
- Combination of coursework, written reports, projects, presentations, group work, and exams.
- Specific assessment methods may vary depending on the module.
Teaching:
- Combines lectures, laboratory practicals, and problem-based learning.
- Led by world-leading experts in robotics engineering.
- Utilizes state-of-the-art facilities and resources.
- Encourages interaction and discussion between students and staff.
Careers:
- Graduates are well-positioned for careers in various sectors, including manufacturing, technology, medical robotics, research, and development.
- Potential employers include the BBC, BT, Crossrail, Goldman Sachs, HP Intel, and Jaguar Land Rover.
- Queen Mary's careers team provides support with finding work experience, internships, and graduate jobs.
Other:
- Queen Mary offers a generous package of scholarships and bursaries for home, EU, and international students.
- The program emphasizes the importance of ethics and responsibility in robotics engineering.