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Featured byUniversity of Central Lancashire (UCLan)
Overview
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.
You’ll take on new knowledge and skills relating to machine intelligence, the development of intelligent machines, mechatronics systems, renewable energy technologies, condition monitoring systems and structural health monitoring systems.
Why study with us
Located within one of the most intense engineering and manufacturing areas in the UK, our £35m Engineering Innovation Centre provides an integrated space for teaching, research and work on live, real-world projects with commercial partners.
Access world-class facilities in manufacturing, including the Intelligent Condition Monitoring, Intelligent Structural Health Monitoring, Instrumentation, Mechatronic, Tribology and Materials Testing labs, and engineering and CNC workshops, a metals and 3D workshop, and a rapid prototyping suite.
You’ll develop the high levels of judgement, team-working, leadership, initiative, delegation and decision-making responsibilities needed for a professional career in Mechatronics and Intelligent Machines engineering.
Future careers
On successful completion of this Mechatronics and Intelligent Machines course from University of Central Lancashire (UCLan) , 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.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Advanced Topics in Industry 4.0
- Intelligent Machines
- Advanced Mechatronics Systems
- Embedded Real-Time Systems
- Work Placement (Engineering)
- Advanced Topics in Machine Intelligence
- Applied Instrumentation
- Advanced Computer Aided Design
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 36 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Language
English
IELTS 6.5
TOEFL® IBT 91
Credits
180 alternative credits
Delivered
On Campus
Disciplines
General Engineering & Technology Mechatronics Machine Learning View 238 other Masters in Machine Learning in United KingdomExplore more key information
Visit official programme websiteAcademic requirements
GPA Lower Second Class
English requirements
IELTS 6.5
TOEFL® IBT 91
Other requirements
General requirements
- Applicants should hold at least 2:2 degree in related subject such as Mechanical Engineering or Mechatronics Engineering
- Non-standard applications from all candidates will be considered on their merits in the light of the nature and scope of the programme and if they have relevant experience
- Applicants must demonstrate the ability to cope with and benefit from Master- level studies
Make sure you meet all requirements
Visit official programme websiteTuition Fee
To alway see correct tuition fees
-
International
14500 GBP/yearTuition FeeBased on the tuition of 14500 GBP per year during 12 months. -
National
7100 GBP/yearTuition FeeBased on the tuition of 7100 GBP per year during 12 months.
- Sandwich year: £1000 for the sandwich year
- Part time: £785 per 20 credits (UK/EU)
Living costs for Preston
751 - 1425 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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