Curriculum
Programme Requirements
MSCIE
Students must complete a total of 30 credit units (CUs) including:
- At least 9 CUs of core courses
- At least 24 CUs of core courses or technical elective
1 courses, where at least 12 CUs must be level-6 courses - Minimum 18 CUs of EE courses
Industrial Research (IR) Option2
Students must complete a total of 45 credit units (CUs) including:
- 15 CUs of EE6691 Applied Research Internship Scheme in Electrical Engineering
- At least 9 CUs of core courses
- At least 24 CUs of core courses or technical elective1 courses, where at least 12 CUs must be level-6 courses
- Minimum 18 CUs of EE courses excluding EE6691
Business Management (BM) Option3
Students must complete a total of 45 credit units (CUs) including:
- At least 15 CUs but not more than 18 CUs must be Business Management (BM) elective courses
- At least 9 CUs of core courses
- At least 24 CUs of core courses or technical elective1 courses, where at least 12 CUs must be level-6 courses
- Minimum 18 CUs of EE courses
Note 1 : Technical elective courses consist of all EE, CS and SM elective courses and SYE6204.
Note 2 : The award title will be Master of Science in Computer and Information Engineering with Industrial Research
Note 3 : The award title will be Master of Science in Computer and Information Engineering with Business Management
Elective Courses Available (3 credit units each, except for EE6680 Dissertation and EE6691 Applied Research Internship Scheme in Electrical Engineering):
Tentative Timetable for 2025/26
The following table shows the electives which are on the curriculum. Whether an elective will be offered in an academic year is subject to be reviewed based on various considerations such as past enrolment record, timetabling constraints etc.
Core Courses: (Students should take at least 3 out of the 5 core courses listed below.)
| Course Code | Course Title | IR Option | MSCIE/ BM Option |
|---|---|---|---|
| EE5410 | Signal Processing |  |
 |
| EE5607 | Advanced Computer Architecture | |
|
| EE5608 | Modern Cloud Architecture and Deployment Practices | |
|
| EE5609 | Computer Networks: Architecture, Protocols, and Applications | |
|
| EE5808 | Topics in Computer Graphics | |
|
Technical Electives
| Course Code | Course Title | IR Option | MSCIE/ BM Option |
|---|---|---|---|
| EE5412 | Telecommunication Networks | |
|
| EE5415 | Mobile Applications Design and Development | |
|
| EE5425 | Fundamentals of Radio Frequency (RF) Circuit Engineering |
|
|
| EE5434 | Machine Learning for Signal Processing Applications | |
|
| EE5437 | Internet of Things Technologies for Future City Applications | |
|
| EE5438 | Applied Deep Learning | |
|
| EE5606 | Artificial Intelligence for Antennas in Wireless Communication | |
|
| EE5805 | Java Network Programming | |
|
| EE5811 | Topics in Computer Vision | |
|
| EE5815 | Topics in Security Technology | |
|
| EE6428 | Optical Communications | |
|
| EE6435 | Multi-Dimensional Data Modeling and its Applications | |
|
| EE6603 | Wireless Communication Technologies | |
|
| EE6605 | Complex Networks: Modeling, Dynamics and Control | |
|
| EE6610 | Queueing Theory with Telecommunications Applications | |
|
| EE6611 | Directed Studies for Taught Postgraduate Students | |
|
| EE6619 | Antenna Design for Wireless Communications | |
|
| EE6620 | Linear Systems Theory and Design | |
|
| EE6621 | Computational Physiology and Neural Systems | |
|
| EE6623 | Sustainable Energy Systems | |
|
| EE6625 | Hardware Architectures for Artificial Intelligence and Machine Learning | |
|
| EE6680 EE6680D |
Dissertation (9 CUs) | |
|
| EE6690 | Internship Scheme in Electrical Industry | |
|
| EE6691 @ | Applied Research Internship Scheme in Electrical Engineering | |
|
| SYE6015 # | Supply Chain Management | |
|
| SYE6037 # | Managing Strategic Quality | |
|
| SYE6204 | VLSI/ULSI process integration | |
|
| CS5282 | Practical Optimization Algorithms and Techniques | |
|
| CS5285 | Information Security for eCommerce | |
|
| CS5367 | Computer Games Design | |
|
| CS5481 | Data Engineering | |
|
| CS5487 | Machine Learning: Principles and Practice | |
|
| CS6290 | Privacy-enhancing Technologies | |
|
| EF5010 # | Economics for Business | |
|
| EF5042 # | Corporate Finance | |
|
| EF5052 # | Investments | |
|
| EF5342 # | Financial Systems, Markets and Instruments | |
|
| IS5414 # | Analysis and Design of ecommerce Systems | |
|
| MGT5204 # | Management and Organizations | |
|
| MGT5205 # | Strategic Management | |
|
| MGT5316 # | Human Resources Management | |
|
| SM5306 | Cinematic Arts Workshop | |
|
| SM5307 | Digital Media and Moving Images | |
|
| SM5332 | Making Things Blip, Blink & Move: Introduction to Physical Computing | |
|
| SM6325 | Philosophy of Technology and New Media | |
|
| # | Business Management (BM) elective course – Students choose Business Management (BM) option are required to earn at least 15 CUs, but not more than 18 CUs from BM elective courses. |
| @ | EE6691 Applied Research Internship Scheme in Electrical Engineering (15 credit units) is for full-time students who opt for Industrial Research (IR) exit route only. |