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Master of Science in Engineering in
Sustainability Engineering
Overview
The Master of Science in Engineering in Sustainability Engineering [MSc(Eng)(SE)] prepares students to address pressing sustainability challenges and support the transition towards a low-carbon future. The programme adopts a transdisciplinary approach that integrates sustainability science, green engineering, circular economy principles, and strategic management. Students develop expertise in areas such as renewable energy, resource optimisation, green technologies, sustainable finance, and AI-enabled sustainability solutions. Through immersive learning at the Kadoorie Centre, hands-on projects, industry collaborations, and engagement with sustainability experts, students gain both technical and practical skills to drive innovation across energy, manufacturing, environmental, and urban systems, and to become future leaders in sustainable development.
Important Note:
Please note that most classes are conducted at the Kadoorie Centre, HKU, in Yuen Long, rather than on HKU’s Main Campus. Applicants are encouraged to review the location and transportation arrangements before submitting their application.
Quick Facts
| Study Mode and Duration | Full-time: 1 year Part-time: 2 years |
| Total Credits | 72 (6-8 courses plus a capstone experience) |
| 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 positioned for careers in sustainability consulting, renewable energy, climate and ESG advisory, sustainable finance, circular economy initiatives, and environmental management. Typical roles include Sustainability Engineer, Renewable Energy Engineer, ESG Analyst, Carbon Analyst, and Sustainability Consultant. The programme prepares graduates to lead sustainability initiatives across the public, private, and non-profit sectors.
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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