Smart Manufacturing Systems (with or without Applied Research)

Entry requirements

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, Electrical\Electronic 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.

Months of entry

September

Course content

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.

Information for international students

English language requirements for international applicants

The 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.