Master of Engineering in Automation and Digital Manufacturing

Candidates must hold level 8 Bachelor (Hons) degree or Higher Diploma in Automation & Digital Manufacturing or a B.Eng. (Hons) in Mechatronics or cognate discipline with a minimum grade classification of H2.2 or equivalent. As the research is industry based, applicants must either have the support of their employer to conduct research or have an agreement with a company to use their facilities for the purpose of their research. The outline of the project must be agreed in advance of admission and an interview to discuss the validity of the project will be conducted. All potential applicants should contact Dr. Carine Gachon carine.gachon@atu.ie English Language Requirements: English Language Requirements will be as determined by ATU and as published in the Access, Transfer and Progression code. The current requirements are as follows: Non-EU applicants who are not English speakers must have a minimum score of 6.0 (with a minimum of 6.0 in each component) in the International English Language Testing System (IELTS) or equivalent. All results must have been achieved within 2 years of application to ATU. EU applicants who are not English speakers are recommended to have a minimum score of 6.0 (with a minimum of 6.0 in each component) in the International English Language Testing System (IELTS) or equivalent. Further details on English language requirements are available at http://www.gmit.ie/international/english-language-requirements. Recognition of Prior Learning ATU is committed to the principles of transparency, equity and fairness in recognition of prior learning (RPL) and to the principle of valuing all learning regardless of the mode or place of its acquisition. Recognition of Prior Learning may be used to: - gain access or advanced entry to the programme - gain credits and exemptions from programme modules after admission - in award years RPL will be considered to a maximum of 50% of the credits. Engineers with significant industry experience who can demonstrate either certified or experiential learning (or combination of both) in Lean Automation, Data Driven Decision making and/or System Integration can get exemptions from the relevant taught modules and potentially shorten the duration of the programme.