Master of Science in Power Engineering

Master (Coursework)

Programme Type

Full-time, Part-time

The MSc (Power Engineering) programme is designed for Electrical Engineering graduates who are practicing engineers, R&D managers, power system designers or industry planners. 

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.


  1. At least a good relevant bachelor's degree
  2. Relevant working experience is an advantage
  3. 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):

          ≥ 6.5

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
Coursework + Dissertation

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.



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
1 year 3 year
Master of Science
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.
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
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 Process Control 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
EE6508 Power Quality
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.

Tuition Fee

Five MSc programmes (Communications Engineering, Computer Control & Automation, Electronics, Power Engineering and Signal Processing) are self-financed programmes.

Students of this programme are not eligible for Service Obligation/ MOE Subsidies.

The tuition fees per module (3 AUs) and per dissertation (6 AUs) for admission AY2020 onwards are shown in the tables as follows:

Admission Year Singaporeans
Singapore PRs
International Students
  (Per Module) (Per Dissertation)^ (Per Module) (Per Dissertation)^ (Per Module) (Per Dissertation)^
AY2020-2021 onwards  

Total Programme Fee

Total Programme Fee


Total Programme Fee

S$30,000 S$35,000 S$40,000

                                         *Exclusive of GST

                                         ^The tuition fee for 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 S$2,000 is payable upon acceptance of offer and non-refundable. It will be deductible from the full tuition fee.

Payment schedule for semester 1 and semester 2 is in September and February respectively.


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.
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).


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