Smart Manufacturing Systems - PgCert

The programme aims to equip students and upskill current engineers with expert knowledge across multi-disciplines in both the underlying science and application of manufacturing and mechanical engineering with the computing topics of intelligent data analytics and robotics. In addition, the programme develops knowledge and skills to understand the nature of the global business environment and global business operations.

We know that choosing to study at university is a big decision, and you may not always be able to find the information you need online.

We recognise a range of qualifications for admission to our courses. In addition to the specific entry conditions for this course you must also meet the University’s General Entrance Requirements.

Applicants must:(a) have gained(i) an Honours or non-Honours degree from a University of the United Kingdom or theRepublic of Ireland, or from a recognised national awarding body, or from an institution ofanother country which is recognised as being of an equivalent standard; or(ii) an equivalent standard (normally 50%) in a Graduate Certificate or Graduate Diploma oran approved alternative qualification; andthe qualification must be in the subject areas of Mechanical Engineering,Electrical/Electronic Engineering, Computer Engineering, or a related discipline;and(b) provide evidence of competence in written and spoken English (GCSE grade C orequivalent)

English language requirements for international applicantsThe minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.

Ulster recognises a number of other English language tests and comparable IELTS equivalent scores.

Smart Manufacturing is a rapidly developing field of study within both academia and industry. The PgCert Smart Manufacturing Systems aims to prepare students for a successful career as a modern manufacturing engineer where Industry 4.0 machine-to-machine (M2M) communication (products talk to machines) is producing large amounts of collected data, where analytics now plays a key role in understanding and modelling process improvements, alongside competitive demands within a global business context. Hence, there is a need for skills in industrial robotics, intelligent automation, factory modelling and simulation, zero defect manufacturing with data analytics, and commercial awareness. These types of skills are typically in high demand in manufacturing industries from plastics, semiconductor to construction, as the sectors moves to Industry 4.0.

This programme of study is firmly based under the STEM umbrella and additionally due to the nature of the skills and knowledge developed during the programme, resulting graduates will have the potential to be employed across a spectrum of industries which will address the skills shortage in smart manufacturing capabilities.