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- +(62) 800-567-8990
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Master of Science in Engineering in
Intelligent Networks and Information Engineering
Overview
The Master of Science in Engineering in Intelligent Networks and Information Engineering [MSc(Eng)(INIE)] equips students with advanced knowledge and practical skills in communications, computing, and artificial intelligence. The curriculum covers information theory, intelligent networking, IoT, cloud and edge computing, distributed systems, and AI-enabled communications, with a focus on emerging technologies such as AI-native 6G networks, generative AI, and advanced wireless systems. Through laboratory work, system development projects, and a substantial dissertation, students gain hands-on experience in designing and implementing next-generation digital infrastructure. The programme prepares graduates to address the growing demand for talent in smart cities, intelligent networks, and AI-driven technologies.
Quick Facts
| Study Mode and Duration | Full-time: 1 year |
| Total Credits | 72 (8 courses plus a dissertation) |
| Entrance Requirements |
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| Tuition Fees | Local students: HK$250,000 Non-local students: HK$395,000 |
Application Deadlines for 2027-28 Intake
Main Round:
January 4, 2027 (12noon HKT)
Clearing Round:
April 9, 2027 (12noon HKT)
Application Deadline for 2027-28 Intake
Clearing Round: April 9, 2027 (12nn HKT)
Main Round: January 4, 2027 (12nn HKT)
Career Prospects
Graduates are well prepared for careers in telecommunications, 5G/6G networks, IoT, cloud and distributed computing, AI infrastructure, and satellite networking. Typical roles include Network Engineer, IoT Solutions Engineer, Cloud/Edge Computing Engineer, AI/ML Engineer, Technical Consultant, and Researcher. The programme also provides a strong foundation for innovation, technology leadership, and further research in advanced communications and intelligent systems.
Professional Recognition
The degree of MSc(Eng) in Industrial Engineering and Logistics Management (IELM) has been accredited by the Chartered Institute of Logistics and Transport (CILTHK) in Hong Kong for full exemption from the examination requirements leading to the Chartered Membership.
Entrance Requirements
To be eligible for admission to the Taught Postgraduate Curricula in the Faculty, applicants should normally possess a Bachelor’s degree of this University in a relevant field such as engineering, sciences, mathematics, statistics, business studies, or the equivalent ; or a qualification of equivalent standard from this University or another comparable institution accepted for this purpose.
In addition to satisfying the requirements for admission to the curriculum concerned, an applicant who is seeking admission on the basis of a qualification from a university or comparable institution outside Hong Kong of which the language of teaching and/or examination is not English is required to obtain the equalivant examination results. For details, please visit https://portal.hku.hk/tpg-admissions/applying/admission-requirements.
Key Employers & Industry Sectors
- Government Departments
- Public Utilities and Transport Corporations (e.g. MTR Corporation, Airport Authority Hong Kong)
- Engineering Consultancy Firms
- Construction Contractors and Property Developers
Academic Pathways: A strong foundation for those wishing to transition into PhD research.
Representative Employers
Student Sharing
“I appreciate the journey in MDASC. You would find every fundamental tool need to engage in the era of AI. The learning curve is steep, but indeed rewarding. Looking back, I can feel how deeper comprehensions towards statistics, deep learning, and databases I gained from those days and nights. In the rapid-changing phase of AI, it is precious that MDASC provides well-designed courses with comprehensive views towards algorithms: from storage to analysis, from statistics to engineering, from history to frontline, and provide rich opportunities to engage in their future to drive research and applications. No matter what your career is, MDASC would be helpful for shaping you into knowledgeable and confident person in data and algorithms in this data-driven world.”
DU Shenghui (Class 2024, FT)
Data Scientist, Deloitte HK
Student Sharing
“I am grateful for the MDASC programme and its supportive professors. The programme’s comprehensive curriculum covered every facet of the data science journey, encompassing theoretical foundations and practical applications through coursework and projects. As a credit risk modeller in a consulting firm, the programme equipped me with a diverse range of hard skills essential for success in my field. It significantly enhanced my expertise in vital areas such as data visualisation, statistical inference, and state-of-the-art machine learning algorithms. These skills have empowered me to deliver in-depth analyses to clients, fostering my professional growth and achievements. The MDASC programme has played a pivotal role in developing the precise skill set required for navigating the dynamic landscape of data-driven industries.”
MOK Ho Fung Arthur (Class 2024, PT)
Manager, Ernst & Young Advisory Services Limited
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