MSc Smart Manufacturing Systems

The MSc in Smart Manufacturing Systems is a collaboration between the school of Computing, Engineering and Intelligent Systems in the Faculty of Computing, Engineering and the Built Environment, and the Department of Global Business and Enterprise in the Ulster Business School, both are based at the Magee campus. The overall aim of the course is to provide postgraduate education and training in the concepts and methods within the area of manufacturing and mechanical engineering with the application of industrial robotics, data analytics and artificial intelligence (AI)/ machine learning to meet the needs of manufacturing in Industry 4.0. The programme aims to equip students 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. Therefore, the MSc Smart Manufacturing Systems seeks to provide develop the human resources to provide pathways to develop innovative products and manufacturing processes allowing existing companies to increase productivity and establish new business by remaining competitive through the use of the emerging digital and smart manufacturing technologies in their operations.

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.

IELTS 6.0 with no band score less than 5.5., TOEFL iBT - 80 with a minimum L - 17 R - 18 S - 20 W - 17, PTE Academic - 55 (with min. of 51 in each part)