Program start date | Application deadline |
2023-09-25 | - |
Program Overview
What is Mechatronics Engineering MSc?
MSc in Mechatronics Engineering is an exciting course designed to give you the knowledge, understanding, skills, and experience that are sought after by potential employers and industry experts.
During this year you will learn about the range and scope of Mechatronics Engineering concepts and techniques; gain an understanding of industrial systems engineering with a mechatronics emphasis to develop you for the area of Robotics, Machine Learning, IoT and Industry 4.0, or continue your engineering research; and develop a range of skills for academic and professional practice.
Study style
The course includes lectures, guest speakers, seminars, individual work, self-led work/research and group work. Group work brings together engineers from a variety of backgrounds to shape projects and tasks. As a day release course, you can immediately apply your learning to your industry role.
You’ll have the chance to work as a team member of individual on a project on the topics ranging from artificial intelligence through smart industrial robots, sensing and embedded systems to smart mechanical systems and products, intelligent industrial inspection, biomedical application and surgical robotics.
Find out more about the other engineering courses we offer and our committment to STEM.
Program Outline
Course modules
Here's an example of the types of modules you'll study (the contents and structure of the course are reviewed occasionally, but it is unlikely that there will be significant change).
Module information is not available for this programme.
Level 7 (Postgraduate)
All students must complete these modules:
Robotic Engineering (EG7101)
This module aims to equip students with a knowledge and understanding of industrial and mobile robots, including other key components and software which make up robotic systems. This will enable them to best specify and apply robotic systems to industrial applications. The module covers a wide range of topics in the field of robotics, including the historical development of robots in the context of industrial applications and mobile robots. Robot kinematics are analysed and related design principles are introduced, including sensor/control systems.
Scheduled Contact Hours: 36 Independent Learning Hours: 114Assessment
001: 50% Assignment: Individual: 2000 words or equivalent 002: 50% Exam: Unseen, Closed Book: 2.00 hoursModelling, Simulation and Visualisation (EG7102)
Introduces the student to the various tools commercial and non-commercial that are used in the modelling, simulation, and visualization of processes.
Scheduled Contact Hours: 36 Independent Learning Hours: 114Assessment
001: 100% Assignment: Individual: 4000 words or equivalentIndustrial Engineering (EG7103)
This module exposes students with the professional knowledge of design, improvement, and installation of integrated systems by optimising the utilisation of human resources, facilities, equipment, tools, technologies, information, energy and handling of materials to produce quality products and services safely and cost-effectively considering the needs of customers and employees. It draws upon specialised knowledge and skills in the mathematical, physical, and social sciences together with principles and methods of engineering analysis and design to specify, predict and evaluate the results to be obtained from such systems.
Scheduled Contact Hours: 36 Independent Learning Hours: 114Assessment
001: 100% Assignment: Individual: 4000 words or equivalentMachine Learning (EG7105)
To provide students with an in-depth introduction to two main areas of Machine Learning: supervised and unsupervised. It will cover some of the main models and algorithms for regression, classification, clustering and Markov decision processes. The module will use primarily the Python programming language and assumes familiarity with linear algebra, probability theory, and programming in Python.
Scheduled Contact Hours: 36 Independent Learning Hours: 114Assessment
001: 70% Assignment: Individual: 4000 words or equivalent 002: 30% Exam: Unseen, Closed Book: 2.00 hoursSystem and Project Management (EG7109)
This course module establishes the fundamental principles and techniques of system and project Management. It treats the management of “projects” in the widest context of a business activity with specific limited objectives and timescale. You will learn how to apply advanced system and project management skills, and will be able to identify, evaluate and recommend solutions to critical system and project management problems. You will be able to develop and manage new projects more effectively and within the given constraints in functions, cost and time.
It will start with the project life cycle and methodology, then move onto the various management issues such as users, suppliers and development team management, stage management, document/communication management, configuration management, change/risk management, quality review/control and contract management etc. Throughout the whole module, real projects undertaken by the School will be used as case studies to provide students with a chance to touch on practical project issues.
Scheduled Contact Hours: 36 Independent Learning Hours: 114Assessment
001: 100% Assignment: Individual: 4000 words or equivalentEngineering Research Project Dissertation (EG7110)
The Dissertation is the single largest piece of assessed work undertaken by the student and is designed to synthesize the range of knowledge and skills acquired throughout the course. The Dissertation provides students with an opportunity to conduct a sustained and intensive investigation into one project area, drawing on programme-related cognitive and practical skills and to present their findings in a formal manner in accordance with academic conventions.
Scheduled Contact Hours: 24 Independent Learning Hours: 576Assessment
001: 100% Dissertation / Major Project: 12000 words or equivalentEngineering Leadership and Enterprise (EG7111)
This module aims to provide students with the knowledge and understanding of how to effectively lead and develop people in a sustainable and entrepreneurial way. You will explore, for example, the influence and impact of leadership theories, culture, wellbeing, the principles of entrepreneurial practice and understand the different contexts in which entrepreneurship can flourish, as well as the characteristics of entrepreneurial leadership.
Learning and Teaching Activities
001: 100% Assignment: Individual: 4000 words or equivalentSystems Engineering (EG7112)
The module will enable students to understand how system engineering can be used to design, integrate, and manage complex systems over their life cycles. The module will also develop technical skills in graphical programming languages and the use of system design software
Learning and Teaching Activities
001: 100% Assignment: Individual: 4000 words or equivalentEmerging Technologies and Sustainability (EG7201)
This module will focus on emerging technologies and sustainability in engineering, with a focus on new developments in mechatronics, electrical, electronic, industrial control, manufacturing, and engineering leadership and management. Module content will be derived from trends seen in industry, academia, and input from the University’s research and enterprise activities. The module encourages student centred learning, and will also develop skills in technical paper authoring and publication.
Scheduled Contact Hours: 36 Independent Learning Hours: 114Assessment
001: 100% Assignment: Individual: 4000 words or equivalentPossible careers
Graduates from this course can go on to work as:
Teaching Staff
Academic Course Leader for Mechatronics Engineering
Rihab Al Seyab
I am a senior lecturer in electrical and electronics engineering, driven to inspire students to pursue academic and personal excellence in the world of engineering and technology.
Visit featured staff member profile
Visit the staff profile for: Shujun Zhang
Shujun Zhang
Professor of Applied Computing and Technology
Visit the staff profile for: David Plummer
David Plummer
Senior Lecturer in Product Design
Visit the staff profile for: Chris Gould
Chris Gould
Academic Subject Leader: Engineering and Technology