Master of Science in Communications Engineering

Master (Coursework)

Programme Type

Full-time, Part-time

Admissions (Coursework)
The MSc (Communications Engineering) is designed for aspiring engineers and information technologists who wish to improve their knowledge and skills in the broad area of communications engineering.
The courses offered cover various important topics in telecommunications, RF engineering and wireless communications.

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):

          ≥ 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

Coursework Only

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 specialized electives (≤ 12 AUs)

6 specialized 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

(Full Time)

1 year3 year

Master of Science

(Part Time)

2 year4 year


Programme Calendar

Semester 1 August to December
Semester 2January to May
Week 1 to 14Lecture (Inclusive of 1-week recess)
Week 15 to 17Examinations
Other Vacation

Graduate courses offered by Master of Science (MSc) Communications 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 ContentAUs
EE6101 Digital Communication Systems Communication signals and baseband transmission. Digital modulation/demodulation. Error correction coding. Spread-spectrum techniques.3
EE6108 Computer Networks Network protocols and services. Transport protocols and services. Local area networks. Wide area networks and internetworking. Broadband and Asynchronous Transfer Mode (ATM) networks.3
EE6122 Optical Fibre Communications Optical fibre fundamentals. System components. Optical fibre transmission systems. WDM systems and subsystems. Optical networks. Measurement techniques.3
EE6128 RF Circuits for Wireless Communications Microstrip Line and Network Parameters. Microwave Power Dividers and couplers. Microwave Filters. Amplifiers. Oscillators and Synthesizers. Detectors and Mixers. Frequency Multipliers and Control Circuits. RF Receiver Design.3
EE6129 Wireless & Mobile Radio Systems Wireless channel models. Fading and ISI mitigation techniques. Cellular concept and Multiple access techniques. Satellite communications.3


General Elective Courses

Course CodeCourse TitleCourse ContentAUs
EE6010Project Management & TechnopreneurshipProject Initiation and Planning. Project Scheduling and Implementation. Project Monitoring, Control and Evaluation. Innovation and Entrepreneurship.3
EE6223 Computer Control Networks Data Networks in Control and Automation. Local Area Network Concepts and Fieldbus. Application Layer of Fieldbus and MAP. Internetworking and Protocols. Real-time Operating Systems and Distributed Control. Network Performance and Planning. Multimedia in Advanced Control and Instrumentation.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
EE6401 Advanced Digital Signal Processing
Discrete signal analysis and digital filters. Power spectrum
estimation. Linear prediction and optimal linear filters. Multi-rate digital signal processing. DSP Architectures and applications.
EE6403 Distributed Multimedia Systems
Discrete signal analysis and digital filters. Power spectrum
estimation. Linear prediction and optimal linear filters. Multi-rate digital signal processing. DSP Architectures and applications.
EE6427 Video Signal Processing
Image and Video Basics. Image and Video Transform Coding.
Filtering and Error Resilience for Image and Video. Image and Video Coding Principles and Standards. Recent and Emerging Topics in Image and Video Processing.
EE7402 Statistical Signal Processing
Signal Estimation Theory. Properties of Estimators. Fundamentals of Detection Theory. Detection of Deterministic and Random Signals. Application of Signal Detection and Estimation. Introduction to Adaptive Filtering. Gradient based Adaptation. Adaptive Filter Applications.
EE7403 Image Analysis and Pattern Recognition
Image Fundamentals. Image Enhancement and Restoration. Image Analysis. Decision Theory and Statistical Estimation. Classification and Clustering. Dimensionality Reduction.

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

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.