Sustainability Education
Education is the key enabler of creating a sustainable world for future generations. At NTU, we seek to incorporate sustainability education for students at different stages of their learning journey, through relevant courses or programmes, to provide them with the foundation and practical tools for understanding the concepts of sustainability and applying them to solve real world problems.
Undergraduate Programmes
Since 2021, we have introduced a sustainability course in our common interdisciplinary core curriculum for all undergraduates. This course aims to develop students with the critical skills to collaborate across disciplines to systematically analyze major sustainability challenges from the perspectives of society, economy, and the environment. Students will learn to address sustainability issues from different viewpoints and at different scales. They will then use these skills to discuss and propose solutions for sustainability challenges facing Singapore and the world.
- Bachelor of Engineering in Environmental Engineering
- Bachelor of Engineering in Bioengineering
- Bachelor of Engineering in Chemical and Biomolecular Engineering
- Bachelor of Science in Environmental Earth Systems Science with three specialization options (Geosciences, Ecology, Society)
- Bachelor of Science in Environmental Earth Systems Science and Public Policy and Global Affairs
- Bachelor of Science in Chemistry and Biological Chemistry with Second Major in Environmental Science
- Bachelor of Science in Biological Sciences
- Bachelor of Science in Physics & Energy Studies and Education
- Bachelor of Arts in Geography
- Second Major in Sustainability
- Second Major in Food Science and Technology (Open to Bioengineering, Chemical and Biomolecular Engineering, Chemistry and Biological Chemistry, Biological Sciences)
- Second Major in Society and Urban Systems (Open to Civil Engineering, Electrical & Electronic Engineering, Environmental Engineering, and Mechanical Engineering)
- Minor in Environmental Sustainability
- Minor in Sustainable Urban Planning
- Minor in Environmental Management
- Minor in Environmental Humanities
- Minor in Science, Technology and Society
- Minor in Science of Learning
- Minor in Chemistry and Biological Chemistry
Postgraduate Programmes
NTU is pioneering a new push in PhD education that will tear down barriers and drive research into areas that need a multi-disciplinary approach. In keeping with global trends and needs, students at the Interdisciplinary Graduate Programme at NTU will concentrate on two or more disciplines, instead of one. Today, fresh thinking is urgently needed to mitigate many global challenges, not least in environmental sustainability, the creation of viable alternative energy solutions, and many other wide-ranging and complex issues.
Master of Science in Power Engineering
The MSc (Power Engineering) programme is designed for Electrical Engineering graduates who are practicing engineers, R&D managers, power system designers or industry planners who seek an in-depth understanding of power electronics and drives technology, issues of power quality, power system modeling, planning, operation and control. The programme aims to equip students to adapt to the challenging demands of modern power industries.
Have a good relevant bachelor's degree
Relevant working experience is an advantage
For applicants whose native language is not English, TOEFL/IELTS score is to be submitted with the application for admission:
TOEFL Score (Test dates must be within 2 years or less from the date of application):
≥ 563 (paper-based)
≥ 223 (computer-based)
≥ 85 (internet-based)
IELTS Score (Test date must be within 2 years or less from the date of application):
≥ 6.0
Applicants without TOEFL/IELTS would still be eligible to apply, but they may be subjected to an interview/test if deemed necessary by the School.
Programme Structure
There are two options of study, one with coursework and dissertation, and the other with coursework only. Each course is of 3 AUs and consists of 39 hours of lectures. Candidates who undertake a project of 6 AUs must submit a dissertation on it.
Option 1
|
Option 2
|
8 courses + dissertation project (30 AUs in total) |
10 courses (30 AUs in total) |
4 specialized electives (≥ 12 AUs) | 4 specialized electives ((≥ 12 AUs) |
4 general electives (≤ 12 AUs) |
6 general electives (≤ 18 AUs) |
Dissertation (6 AUs) |
Full-time students are strongly recommended to select the dissertation option, however this option is recommended only for students with a high level of English proficiency. Students taking the dissertation option may take a longer time to complete the programme.
Note: The programme structure will be subject to change without prior notice.
Duration
Both full-time and part-time programmes are offered (unless stated). Part-time candidates are expected to obtain permission from their employer before admission to the programme. All classes are conducted in the evenings, while examinations are conducted during office hours.
Type of Coursework Programme |
Minimum Candidature |
Maximum Candidature |
Master of Science (Full-Time) |
1 year | 3 year |
Master of Science (Part-Time) |
2 year | 4 year |
Programme Calendar
Semester 1 | August to December |
Semester 2 | January to May |
Week 1 to 14 | Lecture (Inclusive of 1-week recess) |
Week 15 to 17 | Examinations |
Other | Vacation |
Graduate courses offered by Master of Science (MSc) Power Engineering:
Specialized Elective Courses (Students are required to take a min of 4 out of all the 5 specialized elective courses
Course Code | Course Title | Course Content | AUs |
EE6501 | Power Electronic Converters | Introduction. AC-to-DC Converters. DC-to-DC Converters. DC-to AC Converters. | 3 |
EE6503 | Modern Electrical Drives | Components of drives. Types of loads. Modelling of mechanical systems. Selection of drive components. Control theory and closed-loop control. Transient processes. | 3 |
EE6509 | Renewable Energy Systems In Smart Grids | Introduction to Power Systems with Distributed Generation. Distributed Generation. Energy Storage. Smart Grids. | 3 |
EE6510 | Power System Operation & Planning | Forecasting and Scheduling. Network Application Functions. Probability and Reliability. Generation and Transmission Planning. | 3 |
EE6511 | Power System Modelling & Control | Steady-state Power System Networks. Network Components. Stability Analysis. Power System Control. | 3 |
General Elective Courses
Course Code | Course Title | Course Content | AUs |
EE6010 | Project Management & Technopreneurship | Project Initiation and Planning. Project Scheduling and Implementation. Project Monitoring, Control and Evaluation. Innovation and Entrepreneurship. | 3 |
EE6102 | Cyber Security & Blockchain Technology | Cyber Security Threat Landscape, Industry 4.0 and Cyber Security, Cyber Security Education, Awareness and Compliance, Cyber Security Planning, Policies and Compliance, Cyber Security Risk Assessments and Biometric-based Security approaches, Public key Infrastructure (PKI), Web Security and role of firewalls and Intrusion Detection, Online Payment, and Cryptocurrencies. Basics of Blockchain technology, Types of blockchain Technology, Blockchain Technology Applications for Industry 4.0, use cases and real-world case studies | 3 |
EE6203 | Computer Control Systems | Discrete-time system modelling and analysis. Cascade compensation. State-space design methods. Optimal control. Design and implementation of digital controllers. | 3 |
EE6221 | Robotics & Intelligent Sensors | Overview of robotics. Motion planning and control. Mobile robots . Controller hardware/software systems. Sensor systems and integration. | 3 |
EE6225 | Multivariable Control Systems Analysis & Design | Basic control algorithms. Model Predictive Control. Multivariable control. Plant parameter estimation. Case studies in process control. | 3 |
EE6227 | Genetic Algorithms & Machine Learning | Review of Combinatorics and Probability. Introduction of Genetic Algorithms. Differential Evolution. Particle Swarm Optimization. Advanced Techniques. Principles of Machine Learning. Paradigms of Machine Learning. Kernel Methods. | 3 |
EE6285 | Computational Intelligence | Introduction to Fuzzy Logic, Introduction to Fuzzy Sets, Introduction to Fuzzy Inference Systems, Fuzzy Logic Applications, Introduction to Genetic Algorithm, Fundamental Concepts of Artificial Neural Networks and Neural Network Architectures, Neural Network Applications | 3 |
EE6301 | Smart Biosensors & Systems For Healthcare | Introduction to biosensors and healthcare; Optical biosensors-fundamentals; Optical biosensors-applications; Biomedical imaging with optical technologies; Introduction to electrical biosensors- fundamentals; Introduction to electrical biosensors- fabrications; Applications of electrical biosensor; Introduction to bio-intelligent systems; Artificial intelligence in medical sensing and imaging | 3 |
EE6303 | Electromagnetic Compatibility Design | EMC Regulatory Requirements. Non-Ideal Behaviors of Passive Components. Conducted EMI and Filter Design. Electromagnetic Shielding. Basic Grounding Concept. Crosstalk. Printed Circuit Board Layout and Radiated EMI. Electrostatic Discharge. Radio Frequency Interference. Emission and Susceptibility Measurement Methods. | 3 |
EE6341 | Advanced Analog Circuits | Low Noise Circuits, Wide-Bandwidth Amplifiers, Power Amplifiers, Active Filters, DC-DC Converters | 3 |
EE6405 | Natural Language Processing | Traditional: Bag-of-words, Preprocessing, Term weighting scheme, Feature extraction,. Topic modeling , ML classifiers and clustering methods, Evaluation Metrics, Word Embeddings Deep Neural Networks: Graph convolutional network, Seq2Seq, Attention mechanism, Transformers and self-attention, Pretrained Language Models, Fine-tuning (hyper-parameter tuning), Applications (chatbot, machine translation, sentiment analysis, summarisation, classification, generation, auto-complete) |
3 |
EE6483 | Artificial Intelligence & Data Mining | Structures and Strategies for State Space Representation & Search. Heuristic Search. Data Mining Concepts and Algorithms. Classification and Prediction methods. Unsupervised Learning and Clustering Analysis. | 3 |
EE6497 | Pattern Recognition & Deep Learning | Introduction, probability review, Bayesian Inference, Mixture Models and EM Algorithm, Markov Models and Hidden Markov Models, Sampling, Markov chain Monte Carlo (MCMC), Neural Networks, Deep Learning (CNN, RNN), Training Deep Networks, Deep Network Architectures, Applications, Generative Models, Self-supervised Learning. | 3 |
EE6506 | Power Semiconductor Based Converter In Renewable Energy Systems | Module 1: Overview of power electronic circuits and semiconductor devices, Module 2: Power diodes and thyristors as switching devices, Module 3: Power transistors as switching devices 2, Module 4: Protection of devices from overheating di/dt, dv/dt, Module 5: Passive components and magnetics, Module 6: Renewable energy systems | 3 |
EE6507 | Switched Mode Power Supplies | Introduction. Basic Switched Mode Power Supplies. Advanced Switched Mode Topologies. Softswitching Converters. Synchronous Rectifier and Multi-element Converters. Control, Modelling and Design. |
3 |
EE6508 | Power Quality | Concept of Power Quality. Voltage Fluctuations and Variations. Transient Over-voltages. Harmonic Distortions. | 3 |
EE6512 | High Voltage Engineering & System Protection | Computational Methods for Electric Field. Insulation Engineering. System faults. Protection of Plants and Lines. System Aspects of Protection. |
3 |
EE6534 | Modern Distribution System With Renewable Resources | Operation of distribution systems. Power quality. Solar power systems. Wind power systems. | 3 |
EE6604 | Advanced Topics In Semiconductor Devices | Bipolar transistor operating principles. Bipolar device modeling. State-of-the-art bipolar structures. MOS device operation. MOSFET modeling. MOS device scaling effects. Semiconductor memories. Semiconductor heterojunctions and devices. New devices and future trends. | 3 |
EE7204 | Linear Systems | Input/Output System Models. State Space Representation. Norms of Signals and Systems. Decomposition of Linear Time-Invariant Systems. Linear Feedback Design. Convex Optimization for Linear System Analysis and Design. | 3 |
EE7205 | Research Methods | Research Preparation and Planning. Research Sources and Review. Quantitative Methods for Data Analysis. Experimental research methods. Academic Writing & Presentation | 3 |
EE7207 | NEURAL NETWORKS AND DEEP LEARNING | The key topics to be covered in the context of deep neural networks and deep learning will encompass convolutional neural networks (CNN), modern recurrent neural networks (RNN), the attention mechanism and the transformer, self-supervised learning, graph neural networks, all of which represent the cutting-edge methods in the realm of deep learning. In addition, some typical applications and advanced topics of deep learning will be introduced. |
3 |
EE6008 | Collaborative Research & Development Project | Project Charter, Design and prototype development, Project implementation, Testing and instrumentation, Project report, Oral presentation, Demonstration | 3 |
Note: the above curriculum is subject to change.
Tuition Fees
Five MSc programmes (Communications Engineering, Computer Control & Automation, Electronics, Power Engineering and Signal Processing) are self-financed programmes.
Students of these programmes are not eligible for Service Obligation/ MOE Subsidies.
The tuition fees per module (3 AUs) and per dissertation (6 AUs) for admission from AY2020 onwards are shown in the table as follows:
Singaporeans (SC) | Singapore PRs (SPR) | International Students (IS) | |||
Per Module | Per Dissertation^ | Per Module | Per Dissertation^ | Per Module | Per Dissertation^ |
S$3,270* | S$6,540* | S$3,815* | S$7,630* | S$4,360* | S$8,720* |
Minimum Total Programme Fee | Minimum Total Programme Fee | Minimum Total Programme Fee | |||
S$32,700* | S$38,150* | S$43,600* |
*Inclusive of 9% GST from 1 Jan 2024.
^The tuition fee for the Dissertation (6 AUs) will be twice of each module fee.
All fees listed above are in Singapore dollars (S$) and subject to annual revision by the school. The tuition fee
is exclusive of living expenses and miscellaneous student fees.
The deposit fee of S$2,000 is payable upon acceptance of the offer and is non-refundable. It will be deducted from the full tuition
fee.
Important Updates:
Below table for intakes starting from August 2024.
Per Course: S$4,883.20* | Per Dissertation^: S$9,766.40* |
Minimum Total Tuition Fees: S$48,832* | |
SC/SPR Incentive
All Singapore Citizens (SC) and Singapore Permanent Residents (SPR) will be eligible to receive a S$5,000 subsidy, and S$10,000 for needy SC/SPR students.
NTU Alumni Incentive
All NTU Alumni will receive 10% study incentives in the form of reduction in fees.
|
*Inclusive of 9% GST from 1 Jan 2024.
A Goods and Services Tax (GST) of 9% is levied on the import of goods, as well as nearly all supplies of goods and services in Singapore starting 1 Jan 2024.
A deposit fee of S$5,000 (from
August 2024's intake onward) is payable upon acceptance of the offer and is non-refundable. It will be deducted from the full tuition fee.
Awards in MSc Programme
Please click here for more details.
Important Information & Links
- Engineering
- Sustainability
- Full-time
- Part-time
- Master (Coursework)
- AY2019/2020
- College of Engineering
- School of Electrical and Electronic Engineering
- IGP-APRU-Global Sustainability, Waste & the City
- IGP-Earth Observatory of Singapore (EOS)
- IGP-Singapore Centre for Environmental Life Sciences Engineering (SCELSE)
- IGP-Energy Research Institute @ NTU (ERI@N)
- IGP-Nanyang Environment & Water Research Institute (NEWRI)
- IGP-NTU Institute for Health Technologies (HealthTech NTU)
- GIS and Geospatial Learning in Sustainability
Sustainability has become a key theme in higher education globally. It is also by now a core component of the revised MAHE programme. The spatial thinking tools and applications that you will learn in GIS will help you to better comprehend sustainability issues as well as devise solutions for such problems. This course will enable you to apply GIS vis-a-vis cross-disciplinary perspectives in the Humanities with respect to the Southeast Asian context.
- Global Cities
This course aims to introduce the urban ways of life and appreciate the emergence of global cities beyond the Global North. The course will also include various empirical and grounded experiences of global cities around the world, especially on issues related to urban liveability, sustainability, water, housing and other urban infrastructure issues.
- Environmental Planning and Management
This course examines selected environmental challenges in urban areas and explores planning solutions and management options to avoid or mitigate such problems. Multidisciplinary, integrated solutions that follow principles of sustainability are emphasized.
- Discourses in Sustainability
The environmental and social impacts of global climate change been increasingly emphasised. Accordingly, there is a need to equip learners with the history of sustainability studies, alongside current debates and possible future trajectories of this discipline. This knowledge will help learners better understand situations related to climate change and also opportunities in fostering environmental sustainability.
- Field Inquiry in Sustainability
Fieldwork strengthens our classroom concepts and gives the opportunity to understand the world through inquiry- based learning. This course will equip learners with both the qualitative and quantitative skills to collect and interpret data in ways that can help to inform environmental solutions for a more sustainable future.
- Second Major in Sustainability
- Aspiring students with a passion for Sport Science & Management (SSM) now can complement their degree by undertaking a Second Major in Sustainability. This Second Major in Sustainability within the SSM degree programme equips students with the knowledge and skills to address pressing environmental and social challenges faced by the sports industry.
- MBA (Sustainability & Innovation) Track
- Master by Research in Earth and Environmental Science
- Doctor of Philosophy in Earth and Environmental Science
- Joint NTU-TUM Master of Science in Green Electronics
- Master of Engineering (Research) in Civil and Environmental Engineering
- Doctor of Philosophy in Civil and Environmental Engineering
- Doctor of Philosophy in Biological Sciences
- Master of Science in Civil Engineering
- Master of Science in Maritime Studies
- Master of Science in Smart Manufacturing
- Master of Science in Power Engineering
- Master of Science in Materials Science and Engineering
- MBA (Strategy & Innovation)
- Master of Science in Finance
Continuing Education
NTU Continuing Education offers a wide range of programmes and courses for working professionals that are curated from various disciplines and conducted via different learning platforms. Aligning with the Government’s concerted effort to build sustainability as a way of work, play and life, that is the Green economy, specialised topics such as Sustainability Design, Energy Management, Environmental Management and etc. are created and delivered as either short courses or semester long courses, credit-bearing and stackable towards the relevant certificate(s) such as Specialist, Graduate and/or FlexiMasters certificate.