Full time: 12-16 months Part time: 24-30 months
Campus, Full-time and Part-time
September and January
New technologies are completely transforming the World we live in. In this course, you will learn Machine Intelligence, Intelligent Machines development, Mechatronics systems, Intelligent Machines, Advanced Topics in Industry 4.0, Renewable Energy Technology, Condition Monitoring systems, and Structural Health Monitoring systems. You will work alongside our research active staff with the possibility of continuing on to PhD research,
Students will have the opportunity to work closely in industrial, research, and EU projects.
MSc / PGDip - Entry can be made to the course through holding at least a lower second class award of BEng (Hons) or BSc (Hons) in Mechanical Engineering, Mechatronics Engineering, Maintenance Engineering, Electrical Engineering, Electronic Engineering or other related subjects.
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.
Access qualifications should normally be in a Mechanical Engineering subject or a related area.
Students whose first language is not English will be required to demonstrate competence in the language. The normal minimum standard required is IELTS 6.5 or equivalent.
* Please note that running of optional modules is conditional on minimum student numbers and staff availability.
The course benefits from world-class facilities in manufacturing, materials testing, tribology and computer aided engineering, including:
Our Postgraduate section has more information around applying including visiting UCLan and the support available.
If you want to continue and apply now, you can apply for many of the postgraduate UCLan courses using our Online Application System.
Full-time: £6,700 per year (UK/EU)
Part-time: £3,345 per year for first 2 years (UK/EU)
Tuition Fees are per year unless otherwise stated.
For 2018/19 fees please refer to our fees page.
Mechanical Maintenance Engineering (top-up) (With Optional Placement) Undergraduate , BEng (Hons), Full-time and Part-time
Mechatronics and Intelligent Machines (with optional placement) Undergraduate , BEng (Hons) - Top-up, Full-time and Part-time
Intelligent Maintenance Engineering (with optional placement) Postgraduate , MSc/PGDip, Full-time and Part-time
Maintenance Engineering (with optional placement) Postgraduate , MSc/PGDip/PGCert, Full-time and Part-time
The University of Central Lancashire (UCLan) is located within one of the most intense engineering and manufacturing areas in the UK. The advanced manufacturing sector in Lancashire employs around 73,300 people, accounting for 12% of total employment.
The School of Engineering has links with major employers in aerospace, automotive and civil engineering including BAE SYSTEMS and JLR, as well as sector support and supply chain organisations, such as the NW Aerospace Alliance and the Northern Automotive Alliance.
The course adopts a range of approaches to the delivery of curriculum including: case studies, lectures, practical sessions, independent learning guided by a tutor and tutorial sessions.
Assessment of learning is conducted by a range of methods including: tutorial questions, examination, use of online assessment via Blackboard questions, extended assignments, presentations, poster defence and written reports.
Students will have the chance for international travel, to participate in conferences and research publications. On successful completion of this programme, students will be eligible to apply for progression to world-leading research degrees within the Jost Institute for Tribotechnology. You may find further information on research degrees here.
The MSc Mechatronics and Intelligent Machines Engineering course is suitable for engineers who have recently graduated as well as those with experience who are seeking to extend their knowledge in Intelligent Machines, or update their qualifications with a view to promotion or other new position.
The course covers technical aspects of intelligent Machines engineering and forms a suitable basis for a career in a range of roles associated with Mechatronics and Intelligent Machines Systems Engineering.