HKU MSc Electrical & Electronic Engineering

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Master of Science in Engineering in

Electrical and Electronic Engineering

Overview

The Master of Science in Engineering in Electrical and Electronic Engineering [MSc(Eng)(EEE)] equips graduates and professionals with advanced knowledge in emerging electrical and electronic technologies. Offered through three streams, General, Communications Engineering, and Power Engineering, the programme combines theory and practice across areas such as power systems, biomedical engineering, integrated circuit design, computer systems, networking, signal processing, and wireless communications. Supported by over 40 years of history and a strong alumni network, the programme features a future-focused curriculum taught by leading academics and industry professionals. Through project-based learning, capstone activities, and dissertation research, students develop the technical expertise and problem-solving skills required for professional advancement in the rapidly evolving EEE sector.

Quick Facts

Study Mode and Duration	Full-time: 1 year Part-time: 2 years
Streams Offered	General Communications Engineering Power Engineering
Total Credits	72 (8–10 courses plus a dissertation/project)
Entrance Requirements	Hold a Bachelor’s degree in Engineering, Computer Science or related field; and Meet the University Entrance Requirements.
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)

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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 power and utility systems, communications engineering, artificial intelligence, biomedical engineering, cloud computing, quantitative finance, and technology innovation. Typical roles include Power Systems Engineer, Communications Engineer, AI/Machine Learning Engineer, Computer Vision Engineer, and Quantitative Developer, with opportunities across both established industries and emerging technology 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