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Mechatronics and Intelligent Machines (with optional placement) MSc/PGDip

Mechatronics and Intelligent Machines (with optional placement) MSc/PGDip

School of Engineering

Level

Post- graduate

Mode

Taught

Campus

Preston

Contact UCLan

Course Enquiries
University of Central Lancashire
Preston, PR1 2HE, UK.

Tel: +44 (0)1772 892400
Email: cenquiries@uclan.ac.uk

  • Duration:

    Full time: 12-16 months Part time: 24-30 months

  • Level:

    Postgraduate

  • Mode:

    Taught

  • Delivery:

    Campus, Full-time and Part-time

  • Campus:

    Preston

  • Start Date:

    September and January

  • Award Type:

    MSc/PGDip

Why study this programme?

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.

Entry Requirements

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.

Programme at a Glance

Compulsory Modules

  • EL4895 – Project (Core)
  • EL4166 – Research Methods
  • ER4105 – Intelligent Machines
  • ER4104 – Advanced Topics in Industry 4.0
  • ER4200 – Advanced Mechatronics Systems

Optional Modules - Three of the following:

  • ER4165 - Advanced Topics in Machine Intelligence
  • MP4701 – Design and Operation of Sustainable Systems
  • ER4706 – Applied Instrumentation
  • MP4708 - Renewable Energy Technology
  • MP4580 – The Engineer and Society

* Please note that running of optional modules is conditional on minimum student numbers and staff availability.

Placements – Option to choose one of these:

  • EL4101 – Professional Placement (120 credits)
  • EL4102 – Work Placement (60 credits)
  • EL4103 - Industrial placement (80 credits)

Postgraduate Advice Event

Find out more about Postgraduate courses at our Postgraduate Advice Event on 23 June 2019

Further Information

Facilities

The course benefits from world-class facilities in manufacturing, materials testing, tribology and computer aided engineering, including: 

How to Apply

You can apply for many of the postgraduate UCLan courses using our Online Application System.

For other postgraduate courses you can apply directly to UCLan by downloading a Postgraduate Application Form (.pdf 190KB) please also see our Postgraduate Application Guidance Notes (.pdf 158KB).

Handbook

For detailed information about studying this course at UCLan, please see the course handbook for your year of entry:

For information on possible changes to course information, see our Important Information.

Applications

Apply now or see further information about postgraduate study and research. International students should visit our international pages.

Contact Us

Tel: +44 (0)1772 892400

Email: cenquiries@uclan.ac.uk

Fees 2019/20

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.

Further information:

For 2018/19 fees please refer to our fees page.

Industry Links

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.

Learning Environment and Assessment

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.

Opportunities

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.