Associate Degree of Engineering in Intelligent Machines

Southern Cross University - Gold Coast Campus

Australia,Queensland

 0 Shortlist

24 Months

Duration

CAD 36,960/year

Tuition Fee

CAD 0 FREE

Application Fee

Feb 2025

Apply Date

Australia, Queensland

Type: University

Location Type: Semi-Urban

Founded: 1994

Total Students: 18,000 +

Int. Students: 3,300 +

Campus Detail

Main Campus Address

Gold Coast Airport, Terminal Drive, Bilinga, Queensland 4225, Australia

Associate Degree of Engineering in Intelligent Machines

Program Overview

There is increasing demand for technical skills to help build the infrastructure, manufacturing and production systems of the future. This degree will prepare you to work in these industries, and to contribute to shaping the future in Australia and globally.

The Associate Degree of Engineering 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 civil construction or manufacturing and production industries in a supervisory, project management or technical role, or progress their careers in these industries to the next level.

Foundational core units build knowledge of the practical and technical skills and the processes and philosophy that underpin engineering systems. You’ll then choose a specialisation to build additional knowledge and skills needed to perform technical roles in a range of engineering systems relevant to your specialisation. Finally, you'll complete project-based units that will develop your skills in critical thinking, creative problem solving. and project management, and additionally complete a total of 30 days (240 hours) of professional placement in industry during your studies, ensuring you are ready to hit the ground running as a graduate.

 

Specialisation: Intelligent Machines
Students develop practical skills and knowledge to solve practical problems related to four main engineering systems, namely namely design and production systems, sustainable energy and power systems, smart machines, and robotics and control systems.

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