
Full-time 2 Years
Feb 2027
OFFER RESPONSE
7 Days
APPLICATION FEE
125 AUD
BACKLOGS
2 backlogs accepted
POST STUDY WORK
2-4 Years
TUITION
57900 AUD/
PER YEAR
LIVING/ PER YEAR
35340 AUD/
PER YEAR
DURATION
2 Years
INTAKE
Feb 2027/
Deadline:01 Dec 2026
COURSE CURRICULUM
The Master of Advanced Engineering (Smart Manufacturing Engineering) at Monash University requires the completion of 96 credit points and is structured to develop advanced expertise in modern manufacturing systems, digital technologies, and industrial innovation, along with practical or research experience. Part A, Core Studies (24 credit points), builds a foundation in advanced engineering practice, leadership, innovation, and problem-solving skills needed for complex industrial environments. Part B, Specialist Studies in Smart Manufacturing Engineering (36 credit points), focuses on the integration of artificial intelligence, machine learning, robotics, automation, and advanced manufacturing systems. Students learn how to optimise production processes, improve efficiency, and drive innovation using Industry 4.0 technologies. A key aspect of this specialisation is the use of digital twin technology, enabling simulation of entire production systems to enhance layout design, resource allocation, workflow optimisation, and predictive performance analysis. Students also study sensing and monitoring systems, neural networks, and sustainable manufacturing practices to support environmentally responsible production. Part C, Advanced Practice (24 credit points), requires students to complete either an Industry Experience pathway or a Master’s Thesis Research pathway. The Industry Experience option provides hands-on exposure to real-world manufacturing and engineering environments, while the Research Thesis option allows independent, supervised investigation into advanced manufacturing challenges. Part D, Specified Elective Studies (12 credit points), offers flexibility to explore complementary topics aligned with career goals. Together, these components prepare graduates for careers in smart manufacturing, industrial automation, operations management, supply chain optimisation, and advanced production technology leadership roles.
Mode of Study
Full-time
Job Rate
94%
Course Entry Requirements
Review the entry and language criteria.
Choose your language proficiency test
* No IELTS, no TOEFL - this australia college doesn’t require an English test.
Scholarship Details
Details depend on the scholarships and study programs selected
*Based on Academic merit, students can receive scholarships ranging from Up to 11580, depending on their performance and program criteria.
AVG STARTING SALARY
₹47L
for MSc Data Science at University of Edinburgh
PLACEMENT RATE
91%
across top 6 programs
Top recruiting companies
Meta
JP Morgan
Amazon
Microsoft
Stripe
Atlassian
Deloitte
Expected Annual Salary
Years to Payback
1.9 YEARS
Total Tuition Fees (2 Years)
A$115,800
Total Living Costs
A$70,680
Total Investment
A$186,480
Years to Payback
1.9 YEARS
We calculate your ROI by dividing your total investment by your expected salary; this shows you exactly when your career starts generating pure profit for you.
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