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.
- At least 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):
≥ 600 (paper-based)
≥ 250 (computer-based)
≥ 100 (internet-based)
IELTS Score (Test date must be within 2 years or less from the date of application):
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.
|8 courses + dissertation project
(30 AUs in total)
(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.
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
|Master of Science
|1 year||3 year|
|Master of Science
|2 year||4 year|
|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|
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.
|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.
|EE6509||Renewable Energy Systems in Smart Grids|
Introduction to Power Systems with Distributed Generation. Distributed Generation. Energy Storage. Smart Grids.
|EE6510||Power System Operation and Planning|
Forecasting and Scheduling. Network Application Functions. Probability and Reliability. Generation and Transmission Planning.
|EE6511||Power System Modelling and Control|
Steady-state Power System Networks. Network Components. Stability Analysis. Power System Control.
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 and 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 and 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 and Design||Basic control algorithms. Model Predictive Control. Multivariable control. Plant parameter estimation. Case studies in process control.||3|
|EE6227||Genetic Algorithms and 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|
|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|
|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|
Concept of Power Quality. Voltage Fluctuations and Variations. Transient Over-voltages. Harmonic Distortions.
|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.
|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|
|EE7207||Neural and Fuzzy Systems|
Introduction to artificial neural networks. Recurrent and Hopfield Neural Network. Multi-layer perception neural network. Radial basis function neural network. Support vector machines. Self-organizing map neural network. Applications of neural network. Fundamentals of fuzzy logic and fuzzy systems. Takagi-Sugeno (T-S) fuzzy modelling and identification. Stability analysis of fuzzy systems. Applications of fuzzy systems.
Note: the above curriculum is subject to change.
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^|
|Minimum Total Programme Fee||Minimum Total Programme Fee||Minimum Total Programme Fee|
*Inclusive of GST
^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.
Awards in MSc Programme
|Awards Title||Awards Description|
|IEEE PHOTONICS & SOCIETY SINGAPORE CHAPTER & THE OPTICAL SOCIETY (OSA)||The Prize (cash award) is awarded to the student with the highest mark in the course EE6122 (Optical Fibre Communications).|
|MICRON GOLD MEDAL||The medal is awarded to the best graduating student with highest aggregate marks in the degree of Master of Science (Electronics) and who has completed the programme within 2 years.|
|PROFESSIONAL ENGINEERS BOARD GOLD MEDAL|
The medal is awarded to the graduating student with the highest average marks in the coursework component and who had completed the programme offered by the School of EEE.
The awardees are required to have their first degree from the respective prescribed programmes.
|TEXAS INSTRUMENTS BOOK PRIZE||The book prize (cash award) is awarded to the student with the highest mark in the course EE6402 (Real-time DSP Design and Applications).|