MASTER OF APPLIED ENGINEERING
KPT / JPT ( N / 520 / 7 / 0119 ) 06 / 26 - MQA / SWA14789
1 year ( full-time ) or 2 years ( part-time ) 1
February and July
This course offers an enhanced study and learning experience that will elevate you to a domain expert in your chosen specialisation .
Whether you ’ re a working professional looking for a competitive edge or a recent graduate , you ’ ll greatly benefit from this course . Choose from emerging specialisations in energy and sustainability or industrial and robotics engineering to expand your knowledge and advance your complex problem-solving skills in a cross-cultural environment .
Areas of specialisation
ENERGY AND SUSTAINABILITY Create a more sustainable and resilient future . You ’ ll be equipped with the knowledge , skills , and practical experience necessary to drive positive change and build a world that thrives on clean energy and responsible practices . A multidisciplinary approach will empower the next generation of leaders to tackle the global challenges of energy consumption , climate change , and sustainable development .
Units required ( 48 points )
• Industrial ecology
• Operations and supply chain management
• Sustainable energy technologies
• Energy efficiency and sustainability
• Waste management and biomass transformation
• Green building
• Industry-based project A
• Industry-based project B .
INDUSTRIAL AND ROBOTICS ENGINEERING Upskill yourself in the face of an increasingly competitive world that demands industrial practices to deliver better products more efficiently . Specifically , you will acquire skills to design , implement and improve systems from the perspective of productivity and quality analysis in the manufacturing and services sectors to help your organisation stay ahead of the curve .
Units required ( 48 points )
• Applied AI
• Operations and supply chain management
• Lean manufacturing
• Statistics and operations research for industrial engineers
• Advanced robotics in manufacturing
• Design for additive manufacturing
• Industry-based project A
• Industry-based project B .
INTERNET OF THINGS ( IOT ) SYSTEMS AND TECHNOLOGIES Shape the future of connectivity . The Internet of Things ( IoT ) has completely changed our lives , introducing us to a world of smart homes , digital assistants , self-driving cars , and more . It ’ s revolutionising industries by leveraging the power of data and automation . Learn to design comprehensive IoT systems and operate IoT hardware , communications technology and intelligent data processing to help industries reduce costs and increase productivity and agility .
Units required ( 48 points )
• Statistical data analysis
• Engineering IoT systems
• Machine-to-machine storage and communication
• Advanced artificial intelligence
• Communication protocols for industrial IoT
• Smart sensors and embedded systems
• Industry-based project A
• Industry-based project B .
Be supported
Get a RM10,000 tuition fee waiver when you successful enrol in the course .
Missed the English language requirements ? Enjoy a full tuition fee rebate for Monash English when you enrol , reimbursed over two semesters of your Master of Applied Engineering studies .
� monash . edu . my / scholarships
Monash ’ s faculty members are highly knowledgeable and supportive , and the curriculum is well-designed to provide both theoretical knowledge and practical skills that are relevant to my career goals . I believe that what I ’ m learning at Monash will certainly open up more career opportunities for me , both locally and internationally .”
JOVIN CHONG YU CHENG
Bachelor of Robotics and Mechatronics Engineering ( Honours ) Master of Applied Engineering ( Industrial and Robotics Engineering )
RM55,680 Malaysian student
RM63,360 International student 2025 fees for full course with 8 units
Coursework
Classes are held weekday evenings and Saturday mornings .
CAREER PATHS You might apply your knowledge and skills across sectors such as :
• chemical
• oil and fats
• oleo-chemicals
• food and beverage
• environmental
• renewable energy
• power plants
• sustainability
• smart manufacturing
• robotics and AI .
1 Part-time study is not available for international students
19