BEng (Hons)Automation and Digital Manufacturing (1 year add-on)
Ireland, Galway-Mayo
| Study location | Ireland, ATU Galway City |
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| Type | Undergraduate, full-time |
| Nominal duration | 1 year (60 ECTS) |
| Study language | English |
| Awards | BEng (Hons) (Bachelor of Engineering (Honours) in Automation and Digital Manufacturing (1 year add-on)) |
| Course code | 0125/0229 |
| Tuition fee | €12,000 per year |
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| Entry qualification | High school / secondary education (or higher) It is necessary that the applicant have further education qualification post school in Automation & robotics engineering or related field. The entry qualification documents are accepted in the following languages: English. This includes a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. If your Documents are not in English, please upload a translated version You must take the original entry qualification documents along with you when you finally go to the university. |
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| Language requirements | English Accepted proof of proficiency: FCE or CAE, IELTS 5.5+, TOEFL 69+ or Duolingo English Test 90+ |
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| More information |
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Overview
This is an innovative work-based learning programme that has been designed in close consultation with the manufacturing industry in the western region who have identified a major skill-gap in the field. The aim of the programme is to offer a progression route to graduates of the B.Eng. in Automation & robotics (or equivalent) and graduate engineers that can design, build, improve and manage modern manufacturing cells. The graduate profile will be in automation, robotics, and digital manufacturing with skills in system integration and data driven decision making.
Career opportunities
The shortage of engineers in Automation and Digital Manufacturing is such that Irish Industry is currently recruiting abroad. The course will position graduates to move into automation engineering positions or advanced manufacturing ones (such as digitalisation of manufacturing, data analytics, operation management to name but a few) in the Medical Device and engineering manufacturing sectors.
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