Overview

The focus of Industrial Control Engineering (ICE) major is to deliver the suitable and in-depth theoretical knowledge and practical skills of industrial control systems required for graduate students to work with process and manufacturing industry. The course offers a broad range of industrial control engineering components such as control system … For more content click the Read More button below.

Contacts

Academic Chair

Admission requirements

Entry requirements (onshore)
English language requirements

Learning outcomes

1.

Evaluate and employ science and engineering fundamentals to the solution of complex Engineering problems and broader aspects of Industrial Control & Automation Engineering

2.

Systematically investigate, interpret, analyse and innovate solutions to advanced Engineering problems by using the major theories of the Engineering fundamentals, and natural and physical sciences.

3.

Identify and critically appraise current research developments, advanced technologies, emerging issues and interdisciplinary linkages inIndustrial Control & Automation Engineering

4.

Identify, analyse and communicate the interactions between systems, practice and people for a sustainable engineering environment.

5.

Evaluate and apply specialised engineering knowledge, skills and competencies to an open-ended research or industrial task in Industrial Control & Automation Engineering

6.

Interpret and apply systematic Engineering approaches, including synthesis and design processes to the conduct and management of Industrial Control & Automation Engineering projects.

7.

Apply well developed ethical and professional behaviour to broad areas of Engineering practice.

8.

Develop advanced oral and written communication in professional and lay domains.

9.

Demonstrate effective team membership and team leadership, recognising the value of alternative and diverse viewpoints.

Professional outcomes

Professional recognition
Professional accreditation
Accrediting bodies

Research areas

Engineering
Technology