Robotics MSc

This module equips students with knowledge of advanced concepts of mobile robotics, such as kinematics, motion planning, navigation, mapping, SLAM, obstacle avoidance. 

Students will put the knowledge of these principles into practice by modelling, simulating, programming and operating mobile robots. They will gain experience of specialised software frameworks for robotics navigation.

This module equips students with knowledge of advanced concepts of robot manipulators, such as coordinate systems, transformations, kinematics, motion planning. Students will put the knowledge of these principles into practice by modelling, simulating, programming and operating robot arms and end-effectors. They will gain experience of specialised software frameworks for robotic manipulation.

This module aims to equip students with a comprehensive understanding of advanced sensing mechanisms and sensor solutions as they apply to engineering systems. It will delve into the principles and practicalities of modern sensing as well as use of sensory data for decision making and control strategies. Students will explore the critical interactions between automated systems like robots and their environments and gain hands-on experience in designing and implementing data processing pipelines and control mechanisms, bridging theory and practical application.

This module aims to equip students with a thorough understanding of Artificial Intelligence (AI) and Machine Learning (ML) techniques commonly employed in engineering. Students will explore key machine learning methods and algorithms, applying them to real-world applications such as robotics, communications, mechatronics, electronics, and cyber-physical systems. Through practical development of AI/ML systems, students will also engage with and critically examine theoretical challenges within AI and its engineering applications.

This module aims to explore and demonstrate the role and responsibilities of the practitioner in various contexts within and surrounding their subject specialism. These would cover issues such as sustainability goals, recognition of obligations to the society, the professional practice and a commitment to professional standards and Code(s) of Conduct relevant to their discipline (such as the Engineering Council). The module will also cover other wider issues such as materials and their impact on environmental factors, waste management, ethics, EDI in a workplace, Enterprise & Entrepreneurship, security concerns, globalisation (global manufacturing, operating in global markets, cultural issues, financial concerns, risk etc) and its impact on business operations.

Integrating diverse hardware and software modules into a coherent system is a key skill for developing robotic systems. This module will enable students to develop skills in critically evaluating components to judge their suitability and evaluate the steps necessary to integrate them together to perform a task, and practical experience of carrying out these steps. The module will review how the various hardware and software components of a robotic system can be joined and integrated. A range of different robot systems will be analysed and explained. In addition, through a group project coursework, the module provides students with the opportunity to develop their competence in undertaking projects through a systematic research and development process, using a formal project management approach.

The final individual project module is designed to consolidate the knowledge and advanced skills gained in the preceding modules, and to provide students with the opportunity to develop and demonstrate mastery in undertaking advanced engineering projects in their future employment. The module aims to develop advanced skills and practical experience in planning, problem solving, and implementing engineering solutions and in making effective written and oral project presentations.

This module equips students with knowledge of advanced concepts of mobile robotics, such as kinematics, motion planning, navigation, mapping, SLAM, obstacle avoidance. 

Students will put the knowledge of these principles into practice by modelling, simulating, programming and operating mobile robots. They will gain experience of specialised software frameworks for robotics navigation.

This module equips students with knowledge of advanced concepts of robot manipulators, such as coordinate systems, transformations, kinematics, motion planning. Students will put the knowledge of these principles into practice by modelling, simulating, programming and operating robot arms and end-effectors. They will gain experience of specialised software frameworks for robotic manipulation.

This module aims to equip students with a comprehensive understanding of advanced sensing mechanisms and sensor solutions as they apply to engineering systems. It will delve into the principles and practicalities of modern sensing as well as use of sensory data for decision making and control strategies. Students will explore the critical interactions between automated systems like robots and their environments and gain hands-on experience in designing and implementing data processing pipelines and control mechanisms, bridging theory and practical application.

This module aims to equip students with a thorough understanding of Artificial Intelligence (AI) and Machine Learning (ML) techniques commonly employed in engineering. Students will explore key machine learning methods and algorithms, applying them to real-world applications such as robotics, communications, mechatronics, electronics, and cyber-physical systems. Through practical development of AI/ML systems, students will also engage with and critically examine theoretical challenges within AI and its engineering applications.

This module aims to explore and demonstrate the role and responsibilities of the practitioner in various contexts within and surrounding their subject specialism. These would cover issues such as sustainability goals, recognition of obligations to the society, the professional practice and a commitment to professional standards and Code(s) of Conduct relevant to their discipline (such as the Engineering Council). The module will also cover other wider issues such as materials and their impact on environmental factors, waste management, ethics, EDI in a workplace, Enterprise & Entrepreneurship, security concerns, globalisation (global manufacturing, operating in global markets, cultural issues, financial concerns, risk etc) and its impact on business operations.

Integrating diverse hardware and software modules into a coherent system is a key skill for developing robotic systems. This module will enable students to develop skills in critically evaluating components to judge their suitability and evaluate the steps necessary to integrate them together to perform a task, and practical experience of carrying out these steps. The module will review how the various hardware and software components of a robotic system can be joined and integrated. A range of different robot systems will be analysed and explained. In addition, through a group project coursework, the module provides students with the opportunity to develop their competence in undertaking projects through a systematic research and development process, using a formal project management approach.

The final individual project module is designed to consolidate the knowledge and advanced skills gained in the preceding modules, and to provide students with the opportunity to develop and demonstrate mastery in undertaking advanced engineering projects in their future employment. The module aims to develop advanced skills and practical experience in planning, problem solving, and implementing engineering solutions and in making effective written and oral project presentations.

The primary aim of this module is to develop student’s employability skills and support their search for a placement. The module will include communication, team working, negotiation and problem-solving skills development as well as practical workshops on selection methods, CV's, cover letters, interview preparation and techniques. The module will also introduce students to other methods that will include aptitude test and assessment centres.

This module aims to provide students with a three-month (12 weeks) relevant work placement opportunity to reflect critically on their experience of learning through practical work. It also aims to enhance students’ intellectual and inter-personal skills, augmenting their critical understanding of the practical applications.

This module aims to provide students with an extended relevant work placement opportunity (36-48 weeks) to reflect critically on their experience of learning through practical work. It also aims to enhance students’ intellectual and inter-personal skills, augmenting their critical understanding of the practical applications.

The course is taught through a series of practical lab sessions as well as self-directed study and project-based learning.

You’ll be taught how to use state-of-the-art robots by experienced academic staff. In addition, there are technical tutors and graduate academic assistants to support you during and after classes.

You get to participate in a variety of interactive activities including workshops, group tutorials, and collaborative exercises. These are crafted to foster critical thinking, problem-solving, and the application of theory to practical, real-life societal challenges, with a particular focus on sustainable development and the UN Sustainable Development Goals.

Whether you are studying full or part-time – your course timetable will balance your study commitments on campus with time for work, life commitments and independent study.

We aim to make timetables available to students at least 2 weeks before the start of term. Some weeks are different due to how we schedule classes and arrange on campus sessions.

Typical weekly breakdown

A typical week looks like this:

Learning terms

On-campus: This includes tutor-led sessions such as seminars, lab sessions and demonstrations as well as student-led sessions for work in small groups.

Online learning: This is teaching that is delivered online using tools like MS Teams or Zoom, as well as work that you do yourself using online teaching resources.

Independent study: This is the work you do in your own time including reading and research.

Part-time study

You can also study this course part-time.

You will be based at our north London campus - mainly in the Ritterman and Hatchcroft buildings.

There are no exams on this course. Instead, you'll be assessed through a variety of tasks and assignments such as individual and group projects, coding and hardware implementations with live or recorded demos, reports, presentations, project proposals and literature reviews, logbooks and blogs.

Academic support

Our excellent teaching and support teams will help you develop your skills from research and practical skills to critical thinking. Our Sheppard Library is open from 7am to 11pm Monday to Sunday during term time. And we offer free 24-hour laptop loans with full desktop software, free printing and Wi-Fi to use on or off campus.

Feedback

You'll evaluate your work, skills and knowledge and identify areas for improvement. Sometimes you'll work in groups and assess each other's progress. Each term, you'll get regular feedback on your learning.