E6013 Master of Applied Engineering
Faculty of Engineering
Master of Applied Engineering (E6013) is a 1 years full-time, 48-credit-point, master's degree (coursework) course from the Faculty of Engineering, taught at Malaysia. Map your units semester by semester with the MonMap planner.
- Credit points
- 48
- Duration
- 1 years full time
- 2 years part time
- Campus
- Malaysia
- On campus
The 2027 handbook has no page for E6013. This is its 2026 entry, the latest one.
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Requisite map
The 2026 handbook lists no units for E6013 itself. Pick an area of study to see its units.
Overview
Master of Applied Engineering provides advanced engineering education-related knowledge and skills in applied engineering with specialisations catering for the demands in South East Asia. The course focuses on the optimisation of system design from the perspective of productivity and analysis. After completion, you will be able to apply this knowledge and skills to design, implement and improve systems in the industrial, energy and technology sectors.
You will be exposed to industry problems and practices through industry-based research projects, field trips, and a possible industry internship. In the industry-based research project, you will collaborate with industry partners to undertake an advanced project that leads to significant process and/or product improvements. Additionally, industry members will be invited to deliver lectures or short talks.
Course structure
Requirements48 credit points
You must complete one of the following specialisations.
- MMAEDNTZ01Area of studyDecarbonisation and net zeroNo reviews yet48 cp
- MMAEINRB03Area of studyIndustrial AI and robotics engineeringNo reviews yet48 cp
- MMAEIOT02Area of studyIoT systems and technologiesNo reviews yet48 cp
- MMAESEMC01Area of studySemiconductor and microsystems engineeringNo reviews yet48 cp
- MMAESMSM01Area of studySmart and sustainable mobilityNo reviews yet48 cp
- MMAENSUS03Area of studySustainable energy engineeringNo reviews yet48 cp
The handbook's description of this structure
The course is structured into two parts: Part A. Specialist studies and Part B. Professional practice.
Part A. Specialist studies
These units will provide you with specific and contemporary learning required for your chosen area of profession. You will gain in-depth knowledge of the engineering specialisation and develop skills to identify and apply your understanding of the contextual factors impacting the engineering discipline.
Part B. Professional practice
These units will develop your skills in readiness for the engineering workplace. You will develop skills in effective team membership and team leadership and the legal responsibilities of engineers.
Course progression map
The course progression map provides guidance on unit enrolment for each semester of study.
The course comprises 48 points structured into two parts: Part A. Specialist studies (36 points) and Part B. Professional practice (12 points).
Units are 6 points unless otherwise indicated.
You must complete one of the following specialisations (48 credit points) :
- Sustainable energy engineering
- Industrial AI and robotics engineering
- IoT systems and technologies
- Decarbonisation and net zero
- Semiconductor and microsystems engineering
- Smart and sustainable mobility
PART A. SPECIALIST STUDIES (36 points)
You must complete the units in your chosen specialisation:
Sustainable energy engineering
You must complete the following five units (30 credit points) and one unit (6 points) from the Specified electives list.
- ECE5179 Neural networks and deep learning
- MEC5801 Industrial ecology
- MEC5806 Energy management and audit
- MEC5885 Energy efficiency and sustainability
- MEC5886 Sustainable energy technologies
Specified electives (6 points)
You must complete one unit from the following:
- CHE5805 Waste management and biomass transformation
- CHE5806 Low carbon technology
- CHE5833 Carbon capture, storage and utilisation
- CIV5803 Electric mobility
Industrial AI and robotics engineering
You must complete the following five units (30 credit points) and one unit (6 points) from the Specified electives list.
- ECE5179 Neural networks and deep learning
- MEC5156 Advanced robotics in manufacturing
- MEC5891 Design for additive manufacturing
- MEC5897 Lean manufacturing
- TRC5801 Data driven supply chain optimisation and AI applications
Specified electives (6 points)
You must complete one unit from the following:
- ECE5701 Engineering IoT network systems
- ECE5704 Smart sensors and embedded systems
- ENG5805 Statistical data processing and operations research
IoT systems and technologies
You must complete the following five units (30 credit points) and one unit (6 points) from the Specified electives list.
- ECE5179 Neural networks and deep learning
- ECE5701 Engineering IoT network systems
- ECE5702 Machine-to-machine storage and communication
- ECE5703 Communication network protocols for industrial IoT
- ECE5704 Smart sensors and embedded systems
Specified electives (6 points)
You must complete one unit from the following:
- ENG5805 Statistical data processing and operations research
- MEC5156 Advanced robotics in manufacturing
Decarbonisation and net zero
You must complete the following five units (30 credit points) and one unit (6 points) from the Specified electives list.
- CHE5805 Waste management and biomass transformation
- CHE5806 Low carbon technology
- CHE5807 Carbon footprint and energy management
- CHE5833 Carbon capture, storage and utilisation
- ECE5179 Neural networks and deep learning
Specified electives (6 points)
You must complete one unit from the following:
- MEC5801 Industrial ecology
- MEC5897 Lean manufacturing
Semiconductor and microsystems engineering
You must complete the following five units (30 credit points) and one unit (6 points) from the Specified electives list.
- ECE5063 Integrated circuit design
- ECE5179 Neural networks and deep learning
- ECE5830 Advanced semiconductor devices
- ECE5831 Microsystem packaging, assembly and testing
- ECE5838 Microsystems and semiconductor fabrication
Specified electives (6 points)
You must complete one unit from the following:
- ECE5704 Smart sensors and embedded systems
- TRC5801 Data driven supply chain optimisation and AI applications
Smart and sustainable mobility
You must complete the following five units (30 credit points) and one unit (6 points) from the Specified electives list.
- CIV5100 Autonomous vehicle systems
- CIV5314 Planning urban mobility futures
- CIV5802 Smart urban mobility and digital twins
- CIV5803 Electric Mobility
- ECE5179 Neural networks and deep learning
Specified electives (6 points)
You must complete one unit from the following:
- ENG5805 Statistical data processing and operations research
- MEC5806 Energy management and audit
- TRC5801 Data driven supply chain optimisation and AI applications
PART B. PROFESSIONAL PRACTICE (12 points)
You must complete the following units:
- ENG5813 Industry-based project A
- ENG5814 Industry-based project B
Areas of study
Other areas of study (6)
- MMAEDNTZ01Decarbonisation and net zeroNo reviews yet
- MMAEINRB03Industrial AI and robotics engineeringNo reviews yet
- MMAEIOT02IoT systems and technologies No reviews yet
- MMAESEMC01Semiconductor and microsystems engineering No reviews yet
- MMAESMSM01Smart and sustainable mobilityNo reviews yet
- MMAENSUS03Sustainable energy engineering No reviews yet
Learning outcomes
These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.
Upon successful completion of this course it is expected that you will be able to:
- 1
Apply knowledge of chosen specialisation to solve complex and advanced engineering problems.
- 2
Identify, formulate and analyse complex and advanced engineering problems using principles of chosen specialisation.
- 3
Design systems, components or processes to solve complex engineering problems to meet specified needs.
- 4
Investigate complex and advanced chosen specialisation based problems using research methods and reach valid conclusions.
- 5
Select and apply appropriate resources and modern engineering tools to systematically manage systems and progress knowledge for continuous improvement.
- 6
Demonstrate a commitment to uphold the code of ethics and established norms of engineering professional conduct in solving complex and advanced engineering problems.
- 7
Communicate information succinctly and unambiguously in oral and written forms not only with engineers but also with the community at large.
- 8
Demonstrate the ability to lead and to function effectively as an individual in a diverse engineering team.
- 9
Apply project and financial management practices to achieve project outcome under resource constraints.
Entry requirements
English language
Monash Level A, that is: IELTS (Academic): 6.5 overall (no band lower than 6.0); or Pearson Test of English (Academic): score of 58 overall with no band lower than 50; or TOEFL Internet-based test: score of 79 overall with minimum scores: Writing: 21, Listening: 12, Reading: 13 and Speaking: 18; or Equivalent approved English test.
More information
Progression to further studies
Successful completion of this course may provide a pathway to a graduate research degree. Students will need to demonstrate a strong academic record in their prior and/or current studies. Students considering a research degree are advised to consult the course coordinator in regards to course progression.
Other information
Master of Applied Engineering provides advanced engineering education-related knowledge and skills in applied engineering with specialisations catering for the demands in South East Asia. The course focuses on the optimisation of system design from the perspective of productivity and analysis. After completion, you will be able to apply this knowledge and skills to design, implement and improve systems in the industrial, energy and technology sectors.
You will be exposed to industry problems and practices through industry-based research projects, field trips, and a possible industry internship. In the industry-based research project, you will collaborate with industry partners to undertake an advanced project that leads to significant process and/or product improvements. Additionally, industry members will be invited to deliver lectures or short talks.
Contacts
- Academic Coordinator
- Associate Professor Arshad Salema
Common questions
How long is Master of Applied Engineering?
1 years full time, 48 credit points. At 24 credit points a semester, that is 2 semesters of full-time study.
Where can I study Master of Applied Engineering?
At Malaysia.
How do I plan my Master of Applied Engineering units?
Open the course in the MonMap planner. It lays out your semesters, checks prerequisites as you drag units in, and tracks the credit points each requirement still needs.