Learn how to systematically apply engineering principles to complex and unpredictable real-world problems on our MSc Mechatronics and Intelligent Machines course. You’ll explore the new technologies transforming the world in which we live whilst also securing practical experience through a workplace or industry placement.
The course is suitable for engineers who have recently graduated as well as those with experience. It’s an opportunity to extend your knowledge in Intelligent Machines or update your qualifications with a view to promotion or a specialist role.
We cover technical aspects of Intelligent Machines Engineering, forming a suitable basis for a career in a range of roles associated with Mechatronics and Intelligent Machines Systems Engineering.
A lower second class award of BEng (Hons) or BSc (Hons) in Mechanical Engineering, Mechatronics Engineering, Material Engineering, Electrical Engineering, Electronic Engineering or other related subject
Applications from individuals with non-standard qualifications or relevant work / life experience who can demonstrate the ability to cope with and benefit from Master-level studies are welcome. If you have not studied recently you may need to undertake a Top-Up degree Entry programme first
Students whose first language is not English will be required to demonstrate competence in the language. The normal minimum standard required is IELTS 6.0 with no component score lower than 5.
On successful completion of this MSc Mechatronics and Intelligent Machines, you will be eligible to apply for progression to world-leading research degrees within the University’s Jost Institute for Tribotechnology.
The MSc Mechatronics and Intelligent Machines course is intended to provide the opportunity to gain specialisation in Mechatronics and Intelligent Machines engineering and to enable graduates to become Chartered Engineers.
Core Modules:
Research Methods
MSc Project (Engineering)
Advanced Industry 4.0 and Intelligent Maintenance
Advanced Mechatronics Systems
Optional Modules:
Professional Placement (Engineering)
Work Placement (Engineering)
Student Initiated Module
Advanced Topics in Machines Intelligence
Applied Instrumentation
Renewable Energy Resources and Technology
Engineer in Society
Design and Operation of Sustainable Systems
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