Engineering Industrial Automation
The Master’s program is designed to equip students with essential skills for the automation sector, integrating twelve core modules and a project thesis. Targeted at professionals with backgrounds in fields like electrical, electronics, and mechanical engineering, the curriculum includes key subjects such as Power Engineering, Programmable Logic Controllers, and Industrial Process Control Systems, laying a robust foundation in both theory and application.
- IELTS overall score of at least 6.0 (with no individual band score less than 6.0)
* With integrated compulsory 12-week professional industry experience, training, or project work of which 6 weeks are directly supervised by a professional/eligible professional engineer as determined by EIT.
** All applicants must have evidence of automation and/or electrical exposure at undergraduate level and/or work experience. Congruent field of practice means one of the following with adequate Industrial Automation Engineering content including fundamentals of Programming, Control and Instrumentation (fields not listed below to be considered by the Dean and the Admissions Committee on a case-by-case basis):
- Completing of relevant 3 year Bachelors degree
- Demonstrate sound fundamental understanding of the scientific and engineering principles and apply underpinning natural, physical, and engineering sciences, mathematics, statistics, computer, and information sciences to solve problems in Industrial Automation engineering.
- Apply in-depth as well as broad understanding of the relevant specialist body of knowledge within the Industrial Automation engineering discipline including programming logic controllers; control systems and instrumentation; safety systems; machine learning; Industrial communication, SCADA, and systematic project management.
- Reflect critically on a broad body of engineering knowledge to plan and execute an Industrial Automation engineering research-based project, with awareness to knowledge development and research direction within the engineering discipline.
- Draw on the knowledge of engineering design practice and understand the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the Industrial Automation engineering discipline.
- Apply systematic approaches, design processes and established engineering methods, tools, techniques, and resources, underpinned by hazard and risk framework considerations to conduct and manage Industrial Automation engineering projects.
- Communicate effectively technical ideas, design concepts or research results to diverse audience.
- Recognise and pro-actively engage in lifelong learning, as well as develop creative and innovative solutions to engineering problems.
- Demonstrate professional use and management of information.
- Apply discipline and professional knowledge and skills to demonstrate autonomy, adaptability, and responsibility as a professional engineer.
- Collaboratively work as a member of a cross disciplinary team in a manner consistent with ethical and professional standards
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Germany
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