Engineering - Automation & Digital Manufacturing - Galway
This innovative programme has been designed in close consultation with the manufacturing industry in the western region, who have identified a requirement to up-skill their employees.
| Award Name | Degree - Honours Bachelor (Level 8 NFQ) |
|---|---|
| NFQ Classification | Major |
| Awarding Body | Atlantic Technological University |
| NFQ Level | Level 8 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Degree - Honours Bachelor (Level 8 NFQ) | Major | Atlantic Technological University | Level 8 NFQ |
Duration
1 year part-time, blended.
Study Hours
Students attend two evenings of online classes per week. As students obtain 60 credits in one calendar year, they can expect a significant amount of self-study in addition to the contact hours.
On-Campus Attendance
Students attend one day per week at the Galway City Campus.
Entry Requirements
Applicants for this programme require a B.Eng. in Automation and Robotics or equivalent. As the system integration project is an applied project to be conducted in industry, applicants should either be employed or have an agreement with a company that will allow them to conduct their project in their manufacturing facilities.
Further information
Total Fees €6,000
Funding available from Cobotics Skillnet
The aim of the programme is to produce graduate engineers that can design, build 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.
Who should apply?
This programme is suitable for graduates of the Level 7 in Automation and Robotics, or equivalent, working in industry and wishing to upskill to a Level 8 qualification. The course will position graduates to move into automation engineering positions or advanced manufacturing ones - such as digitalisation of manufacturing, data analytics and operation management - in the medical device and engineering manufacturing sectors
Modules
Machine Vision for Industry
Decision Theory and Data Visualisation
Cloud Infrastructure and Enterprise Services
Digital Twin Technology
Lean Process Automation
Advanced Automation
Database Design and Development
System Integration
System Integration project
Examination & Assessment
The modules will be continually assessed via ongoing assignments coupled with project work.
Course Coordinator: Carine Gachon: carine.gachon@atu.ie
Student Advisor: learn.galwaymayo@atu.ie