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Study Level Bachelor
Course Code 102711J
Study Method Class
Assessment Online Exam, Onsite Exam, Practical, Assignments
Start Date July 2025, November 2025, March 2026
Entry Requirement Bachelors
Duration 96 weeks
Price $48084
Discount 5%
Discounted Price $45679.8
About the Course
This qualification reflects the role of individuals who undertake leadership and management roles in the automotive industry. It is suitable for entry into senior management roles in all sectors of the automotive industry.
Entry Requirements
The following are the Admission requirements :
- Must be 18 years of age or older at the time of course commencement
- Some prospective students may be asked to undertake an LLN assessment or enrolment interview prior to acceptance.
- Must have completed Australian Year 12 or equivalent level of schooling or a Certificate IV or higher qualification with an Australian institution
- Must demonstrate English level of IELTS 6.0 overall with no band less than 5.5 or equivalent, such as:
- IBT 60
- PTE 50
- CAE 169
- OET C
- Duolingo 95
- General English Advanced*
- MOI Certificate
- Certificate III or higher qualification with an Australian institution.
*General English Upper Intermediate is generally considered to be between 5-5.5 IELTS.
Course Units
Code | Course Unit | Description | Type |
---|---|---|---|
MDA511 | Mathematical and Statistical Methods | Core | |
MDA512 | Data Science (Prerequisites*: MN404 Fundamentals of Operating Systems and Programming and MN405 Data and Information Management) | Core | |
MN405 | Data and Information Management | Core | |
MN404 | Fundamentals of Operating Systems and Programming | Core | |
MDA692 | Data Analytics Capstone Project (Prerequisite: MDA691 Project Management and Research Methods) | Core | |
MDA621 | Software Practice for Big Data Analytics (Prerequisite: MDA512 Data Science) | Core | |
MDA691 | Project Management and Research Methods (Prerequisite: 4 Core units) | Core | |
MDA611 | Predictive Analytics (Prerequisite: MDA511 Mathematical and Statistical Methods) | Core | |
MDA522 | Artificial Intelligence (Prerequisite: MDA512 Data Science) | Core | |
MDA521 | Data Security and Privacy | Core | |
MDA513 | ICT Practices | Core | |
MDA512 | Data Science | Core | |
AIM100 | Academic Integrity Module | Core | |
MDA541 | IOT and Sensor Networks | Elective | |
MDA641 | Smart Environments (Prerequisite: MDA541 IOT and Sensor Networks) | Elective | |
MDA642 | IoT Data Analytics Platforms (Prerequisite: MDA541 IOT and Sensor Networks) | Elective | |
MN503 | Overview of Internetworking | Elective | |
ME605 | Cloud Engineering (Prerequisite: MN503 Overview of Internetworking) | Elective | |
MN622 | Software Defined Networking (Prerequisite: MN503 Overview of Internetworking) | Elective |