Smart Manufacturing Systems - with or without Applied Research

Smart Manufacturing is a rapidly developing field of study within both academia and industry. This course provides professionals with expert, multi-discipline knowledge in the principles and application of Smart Manufacturing set within the context of the global business environment and global business operations.

Five core technologies that are essential to raise the development of manufacturing and productivity to the levels required in the next 50 years are Artificial intelligence (AI), robotics, automation, internet of things (IoT) and industrial digital technologies (IDTs).

You will be equipped with expert knowledge across multi-disciplines in the underlying science and application of manufacturing and mechanical engineering together with the computing topics of intelligent data analytics and robotics.

There is currently an extensive demand for engineering graduates, particularly those with the high-level skills to develop and operate smart factories, which will be provided by this course. Alternatively, you may progress to further study at PhD level.

For further course details please see "Course Web Page" below.

To apply to our postgraduate taught programmes, you must meet the University's General Entrance Requirements and any course-specific requirements.

These vary depending on the course and are detailed online.

Applicants must:
(a) have gained:

(i) a second class honours degree or better in the subject area of Mechanical Engineering, Electrical/Electronic Engineering, Computer Engineering, or a related discipline, from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or

(ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification and the qualification must be in the subject area of Mechanical Engineering, ElectricalElectronic Engineering, Computer Engineering, or a related discipline

and

(b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent).

In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme.

If English is not your first language this course requires a minimum English level of IELTS (academic) 6.0 with no band score less than 5.5, or equivalent.

Visit ulster.ac.uk/englishrequirements for more details.

This course is open to international (non-EU) students (full-time only).

For full entry requirements please see "Course Web Page" below.

Your Application
Application is through the University's online application system (see "Application Weblink" below).

Full-Time/Part-Time. Applied Research available full-time only.

Year of entry: 2020/21

Postgraduate Information Session 11 March 2020
Register at: ulster.ac.uk/pg-information-events

Career options
Smart Manufacturing is a rapidly developing field of study within both academia and industry. The MSc 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 advanced manufacturing processes, industrial?robotics, intelligent automation, factory modelling and simulation, zero defect manufacturing with data analytics, embedded sensing and M2M, 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.

Students from this course would be eligible to directly enter graduate employment or proceed to further study at PhD level. There is currently an extensive demand for engineering graduates, particularly those with the high-level skills to develop and operate smart factories, which will be provided by this course.