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TAUGHT POSTGRADUATE
ADMISSIONS
Feature | Details |
Study Mode | Full-time: 1 year Part-time: 2 years |
Total Credits | 72 Credits (including a 24-credit Dissertation) |
Entrance Requirements | · Hold a Bachelor’s degree from Civil Engineering, Environmental Engineering, Chemical Engineering, Mechanical Engineering, Environment-related Sciences, Computer Science, Mathematics or Statistics; and · Meet the University Entrance Requirements. |
Tuition Fee | Local students: HK$250,000 Non-local students: HK$375,000 |
Admission Deadline | For 2027/28 intake: Main Round Deadline: January 4, 2027 (12nn) |
The Master of Science in Engineering in Civil Engineering [MSc(Eng)(CivE)] is an advanced postgraduate programme designed for engineering graduates and practising professionals looking to upgrade their technical expertise. The programme offers a General Stream for multi-disciplinary breadth, alongside three specialized streams to match your specific career trajectory:
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.
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.
Our graduates enjoy an incredibly high employment rate and are recruited by leading local and global organizations.
Academic Pathways: A strong foundation for those wishing to transition into PhD research.








“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
“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
Main Round Deadline:
1 December 2027
Clearing Round Deadline:
31 March 2028
(Application will start in early October)
