The Associate Degree of Engineering (Intelligent Machines) is designed to meet the requirements for accreditation at the level of Engineering Associate by Engineers Australia. The course is structured around 16 key competencies identified by Engineers Australia as being essential to the graduating engineer, which are broadly grouped into knowledge and skills, application, personal and professional skills. The course is suited to school leavers or those with a trade qualification who are looking to enter the manufacturing and production industries in a supervisory, project management or technical role, or progress their careers in these industries to the next level. This course is also available online, contact Southern Cross University. For more course information, visit Associate Degree of Engineering at Southern Cross University.
Southern Cross University
Students complete 30 days of compulsory industry experience typically with an organisation
conducting work related to engineering practice.
For additional information about the admissions criteria for Southern Cross University and for this course, refer to the Southern Cross University website.
Completion of Year 12 or attained age 18 years
For more information about the ATAR/Selection Rank profile, please visit ATAR/Selection Rank profile explained.
Intelligent machines
As this is a new course, Semester 1, 2024 information is not available.
Excluding: The lowest ATAR/Selection Rank to which an offer was made, excluding adjustment factors.
Including: The lowest ATAR/Selection Rank to which an offer was made including any adjustment factors that may have been applied.
For more information about the Student profile, please visit Student profile explained.
As this is a new course, Semester 1, 2024 information is not available.
Graduates from the Intelligent Machines specialisation will be able to work at the level of engineering associate in a range of roles in manufacturing and production industries related to building, installing and commissioning, operating, maintaining and repairing control systems, smart machines, and robotic systems.
2 years Full time or 4 years Part time