Admissions Application period for August 2026 intake will be from 1 November 2025 to 31 March 2026
- Global Excellence in Energy Research and Singapore as a Living Laboratory converge in this MSc.
- Strong mechanical engineering core with interdisciplinary reach and industry-driven projects.
- Graduates pursue R&D, policy, and energy management roles.
- Industry collaborations and real-world projects prepare leaders for the global clean energy transition.
- Enables versatile careers across engineering, sustainability, and technology innovation.
MAE Graduate Scholarship
The MAE Graduate Scholarship is awarded to exceptional applicants applying for admission to MAE's Master of Science programmes. The applicant must be able to demonstrate significant potential to enhance the academic rigor and reputation of the programme.
On top of the admission requirements of each programme, applicants will be assessed based on multiple factors that include academic record, working experiences, past achievements and awards, etc. Shortlisted applicants may be invited for interviews, and successful applicants will be informed of the outcome shortly after the offer of admission.
Each Scholarship amounts to 100% of the total Tuition Fees for the programme, not including miscellaneous fees. The amount cannot be used to offset the SGD50 application fee and the SGD5000 acceptance of offer deposit payment. Partial scholarships (50% of the total tuition fees) may also be awarded at the discretion of the Scholarship Evaluation Committee.
Recipients are expected to maintain a CGPA of 3.50 each Semester to maintain the eligibility for the Scholarship.
If you are interested, please complete and submit the MAE Graduate Scholarship Application Form to MAE Graduate Studies Office ([email protected]). Deadline for submission 31 March 2026.
Candidates must possess
(A) A good bachelor’s degree in engineering, such as Aerospace, Mechanical or Electrical Engineering
(B) A good TOEFL score (iBT = 85 or more, PBT = 563 or more, CBT = 223 or more) or IELTS score (6.0 or more) for graduates of universities in which English is not the medium of instruction. Please ensure that you upload a scanned copy of TOEFL/IELTS along with your application (hardcopy is not required).
Related disciplines include but are not limited to bachelor's programmes offered by the College of Engineering, Nanyang Technological University, Singapore.
Applicants must also provide 2 letters of reference from academic or professional supervisors and a clear statement of purpose in support of their application.
Full-Time (min. 1 year, max. 2 years) and Part-Time (min. 2 years, max. 4 years) ;
30 AUs coursework or 24 AUs coursework and a dissertation
| Option | Description | No. of Courses | Core | Electives |
|---|---|---|---|---|
| 1 | Coursework and Dissertation# | 8 Courses + Dissertation | 4 | 4 |
| 2 | Coursework Only (*Default Option) | 10 Courses | 4 | 6 |
#Full-time students choosing the dissertation option typically require 1.5 years instead of 1 year to graduate.
*Please note that ALL students will automatically be assigned the default Option 2 - Coursework Only. If you wish to apply for Option 1: Coursework and Dissertation, you must apply using the "Application for Conversion of Option of study" form during your first Semester.
CORE COURSES
| Course Code | Title | AUs |
|---|---|---|
| MA6120 | Introduction to Renewable Energy Technologies and Fuels | 3 |
| MA6121 | Thermodynamic Analysis for Power and Energy Systems | 3 |
| MA6122 | Thermodynamic Analysis for Power and Energy Systems | 3 |
| MA6123 | Computational Methods for Environmentally Sustainable Design | 3 |
ELECTIVE COURSES
| Course Code | Title | AUs |
|---|---|---|
| MA6130 | Fuel Cell Science and Technology- From Fundamentals to Applications | 3 |
| MA6131 | Green Hydrogen Systems, Enabling Technologies, Trends, and Future Prospects | 3 |
| MA6132 | Intelligent Green Buildings for Smart Cities | 3 |
| MA6133 | Materials for Sustainable Development | 3 |
| MA6134 | Team-based Design Project for Green Energy | 3 |
| MA6090 | Sustainability in Project Management | 3 |
| MA6514 | Machine Learning and Data Science | 3 |
| MA6516 | Manufacturing in the Circular Economy: Processes, Technologies and Design | 3 |
| MA6814 | Structural Integrity for Sustainability and Clean Energy Technologies | 3 |
| MA6815 | Foundations of Maritime Decarbonization | 3 |
MA6120 Introduction to Renewable Energy Technologies and Fuels
This course covers a comprehensive overview of renewable energy technologies and fuels, focusing on their principles, applications, and impacts on sustainable energy systems. Students will explore energy conversion processes, transmission, and storage, with an emphasis on innovative solutions for addressing global energy challenges. Topics will cover Energy Conversion Processes (including solar, wind, hydropower, geothermal, biomass, tidal and wave, and electrochemical conversions), Energy Transmission, and Energy Storage and Fuel.
MA6121 Thermodynamic Analysis for Power and Energy Systems
This course covers the theories and applications of power generation and energy systems. It provides students with thermodynamic concepts and fundamental relations on intensive or extensive properties; postulates and equilibrium state; and direction of energy transport, and strong skills and techniques in solving problems through the first law and second law for combustion, the power generation system and the other energy systems related to transport processes including diffusion, heat conductivity, membrane processes, etc. at the graduate level. Course content covers a range of critical component including basic thermodynamic concepts and relations, phase transition, system energy analysis for power generation and energy efficiency.
MA6122 Decarbonization and Carbon Management
This course covers to enhance graduate students in the disciplines of mechanical, chemical, aerospace, and materials engineering to establish a comprehensive understanding of fundamentals of thermodynamics; master analytical skills to identify problems and find solutions in power and energy systems; develop the abilities to apply the approach to develop thermodynamic equilibrium for applications in phase changes, combustion and interfacial effects; and learn the method of the irreversible thermodynamic systems.
MA6123 Computational Methods for Environmentally Sustainable Design
This course covers analyzes decarbonization techniques for complex energy systems via numerical modelling of main plant components (heat, work, water, hydrogen, etc.). It covers environmental impact (CO2, 2050 decarbonization goals, emission scopes Scope 1–3), life cycle assessment, circular economy, alternative fuels, CCS/CCU, optimization of integrated, renewables-powered systems with storage to reduce CO2, and multi-objective optimization using AI/ML-enhanced methods for environmental and techno-economic feasibility.
ELECTIVE COURSES
MA6130 Fuel Cell Science and Technology- From Fundamentals to Applications
This course covers key factors in designing for environmental sustainability, e.g., use of prior knowledge of theories, selection of appropriate tools, and understanding of social behaviours, along with selected computational methods for solving complex interactions in an energy system. Students will develop transferrable skills, including modelling, simulating, and analyzing various energy-related processes using different numerical techniques and tools. Emphasis will be placed on a specific real-world application that may vary over different academic years, for instance building energy system, renewable energy sources, and optimization of energy conversion processes.
MA6131 Green Hydrogen Systems, Enabling Technologies, Trends, and Future Prospects
This course covers a comprehensive overview of green hydrogen technologies, focusing on their generation, applications, and the latest advancements. Hydrogen technologies, including production, storage, and utilization, are introduced with fundamental principles discussed. The course aims to prepare students for industry, research and development in these critical areas of green and clean energy technologies.
MA6132 Intelligent Green Buildings for Smart Cities
This course covers the theories and practices of sustainable building design and intelligent building operations. This includes a comprehensive exploration of the core principles behind the design and engineering of energy-efficient buildings, with a focus on approaching and reaching net-zero energy, advanced building automation and control, minimum-environmental-impact materials and superior indoor environmental quality. Course content covers a wide range of critical elements including basic building sciences, standards and codes, psychometrics, microclimate, thermal comfort, indoor air quality, HVAC systems, and more.
MA6133 Materials for Sustainable Development
This course covers an Introduction to Sustainability, continuing to Life Cycle Design, Recycling and Reuse Technologies, Design for Remanufacturing (DfR), Circular Economy and Corporate Issues and conclude with Case Studies to analyse the Framework for Sustainable Design.
MA6134 Team-based Design Project for Green Energy
This course covers a hands-on, collaborative approach to energy technology design. Teams tackle real-world problems using mechanical engineering, going through ideation, design, prototyping, and evaluation with design thinking, AI tools, and entrepreneurship. ESG criteria are integrated throughout. Over 13 weeks, students engage in guided sessions and self-study to develop solutions.
MA6090 Sustainability in Project Management
This course covers to cater to the growing need to integrate project management skills with ability to incorporate sustainability considerations and solutions in projects. Students will learn how to incorporate sustainable practices into projects, assess climate change and environmental impacts as well as contribute to building a resilient future.
MA6514 Machine Learning and Data Science
This course covers introductory in Machine Learning is to show how to adopt ML as an important and essential paradigm in advancing a corporation’s operation and decision-making processes towards Industry 4.0. Using Python, Numpy, Pandas and Colab Notebook as its development environment, the presentation of outcome of machine learning computations are achieved through visualization tool, Matplotlib. Scikit-Learn, an extensive well-documented open-source suite of machine learning algorithms serves as the platform to analyse data for underlying trends, classification, identifying criteria parameters, deriving rules for decision making in real-world problem solving, thus leading to a rapid prototyping of a suitable machine learning system.
Topics included are Context of machine learning and data science in Smart Manufacturing for Industry 4.0; Types of machine learning; Unsupervised learning; Supervised learning; Neural networks and reinforcement learning; Model evaluation and improvement.
MA6516 Manufacturing in the Circular Economy: Processes, Technologies and Design
This course covers a graduate level understanding of sustainable manufacturing in the transition towards circular economy. It covers a broad range of concepts, including sustainable assessment frameworks and sustainable manufacturing, with a heavy focus on product end-of-life management to ‘close the loop’. There is a strong emphasis on the enabling tools, technologies, and processes in sustainable manufacturing, supplemented by up-to-date industry insights and illustrated by actual case studies. The course also covers the concept of remanufacturing, which is the process of restoring used products to their original condition, thereby extending their useful life and reducing waste. This course aims to empower you with practical tools and analytical skills to put sustainability at the heart of manufacturing operations and processes.
MA6814 Structural Integrity for Sustainability and Clean Energy Technologies
This course covers Mechanical properties of materials play a vital role in engineering design and production. In manufacturing components or assembling structures, design engineers must additionally consider various factors such as functional requirements, reliability, safety, cost, and environmental conditions that might affect product performance over its lifetime. However, in-service failures of structural components occur regularly, leading to severe productivity losses, environmental disasters, and sometimes loss of life. These failures often result from material performance limitations or critical loading conditions not accounted for during design. With the growing emphasis on environmental protection, sustainability, and the transition to clean energy technologies, it is crucial for mechanical engineers to integrate sustainability and emerging green technologies into their designs for structural integrity. This course aims to train the next generation of mechanical engineers in the relevant concepts of the mechanical behaviour of materials, design processes, and case studies in structural integrity. It also addresses the evolving design concepts due to the focus on sustainability, the hydrogen economy, and Industry 4.0.
MA6815 Foundations of Maritime Decarbonization
This course covers to provide students with a comprehensive understanding of the foundational principles and core concepts integral to achieving decarbonization within the maritime industry. By exploring key topics such as the International Maritime Organization's (IMO) greenhouse gas (GHG) reduction strategies, ship energy efficiency measures, and the application of alternative fuels, students will gain the knowledge necessary to critically assess and contribute to the technical, economic, and environmental aspects of decarbonizing maritime operations. The course will also address the challenges and opportunities related to integrating energy-saving technologies, renewable energy sources, and alternative propulsion systems, as well as the long-term impacts of innovations like zero-emission ships and carbon capture solutions. Through a blend of theoretical study, practical analysis, and case studies, students will be equipped to design, evaluate, and optimize maritime systems with sustainability in mind, preparing them to contribute meaningfully to the ongoing transformation of the maritime sector.
Global Excellence in Energy Research and Singapore as a Living Laboratory converge in this MSc. With a strong mechanical engineering core, interdisciplinary reach, and industry driven projects, graduates pursue R&D, policy, and energy management roles.
Industry collaborations and real-world projects prepare leaders for the global clean energy transition, enabling versatile careers across engineering, sustainability, and technology innovation.
Fees
Please note this MSc programme is a self-financed, non-MOE subsidised programme.
Fees | S$ | |
Application Fees | Non-Refundable | 50 |
Deposit Payment | Non-Refundable and non-transferable | 5,000 |
Tuition Fees – Academic Year 2026 – 2027 | To attain an MSc in Green Energy Technology, candidates must complete ten courses (30 AUs), or eight courses (24 Aus) and one dissertation (6 AUs) | 55,099.50 (Full Programme) |
Fees are subject to annual revision.
Notes on payment of fees:
Students will be billed after course registration period each Semester, and payment due date is 2 weeks after billing date.
A student who withdraws or leaves the University after course registration period is liable to pay the fees due for the semester.
Incentives for NTU Alumni
- From AY2024-2025 intakes onwards: NTU Alumni students are entitled to 10% study incentives in the form of reduction in fees.
Incentives for Singapore Citizens and Singapore Permanent Residents
- From AY2025-2026 intakes onwards: The $5,000 subsidy for Singapore Citizens and Permanent Residents will continue. Additionally, the maximum financial aid available for eligible local students will increase to $10,000. This enhancement applies only to new intakes from AY2025 onwards.
SkillsFuture Credits
- Log in to SkillsFuture portal and click on “Make SkillsFuture Credit Claim”
- Select NTU MSc Green Energy Technologies.
- To submit a claim, you should have supporting documents such as letter of offer, matriculation documents etc.
- In your claim, indicate the course start date to be first day of the upcoming Semester in the Academic Calendar.
- As your e-bill for the upcoming Semester would not be available yet, take note of your SFC Claim ID.
- Notify School ([email protected]) and NTU NSS-Finance ([email protected]) with the SFC Claim ID and the amount to be claimed through SFC.
- When you receive your e-bill for the Semester, leave the SFC amount to be claimed out of your payment.
- Please refer to Skillsfuture FAQ at this link.