Bachelor of Engineering in

Data and
Systems Engineering

CODE

6315

STUDY PERIOD

4 Years

ABBREVIATION

BEng(DASE)

ADMISSION TRACK

Department-based

Engineering Intelligence for a Smarter Future

Established in 1973, the Department of Data and Systems Engineering (DASE) has led advancements in technology and human life in Hong Kong, especially during the AI and big data revolution. We offer students a strong foundation in system analytics, computing, robotics, and intelligent systems, fostering their ability to address real-world challenges. With a history of around 3,000 alumni, our department has built a robust network of scholars and industry leaders worldwide. Committed to innovation and excellence, DASE continues to nurture future academic and industrial pioneers in top institutions and companies globally.

Why This Programme

  1. Computing in practice: from action-in to action-out!
  2. Through IoT, AI, and human-machine interactions, we bridge the gap between cyber and physical worlds to solve a wide range of real-world problems.
  3. Providing state-of-the-art knowledge and technologies through hands-on experiences, we prepare students to lead in the rapidly evolving fields of robotics and artificial intelligence.

What You Will Study

Our curriculum encompasses a diverse range of fundamental system analytics and computing disciplines, including operational research, mathematical and data-driven optimization, and system simulation and modeling. Additionally, students are exposed to innovative artificial intelligence and intelligent systems technologies. The main areas of expertise developed in this curriculum are as follows:

  • Data Analytics and Computing – Big data analytics, data-driven optimisation, operations research, statistics analysis, system modelling and simulation, quality control and process optimisation, blockchain, and project management.
  • Robotics and Intelligent Systems – Artificial intelligence, machine learning, computer vision, robotics, virtual reality, human-machine interface, Internet of Things, and manufacturing.
  • Robotics and Intelligent Systems
  • Data Analytics and Computing
  • Intelligent Manufacturing and Automation
  • Intelligent Transportation
  • Supply Chain and Logistics Technologies
  • Robotics and Intelligent Systems

Exciting Opportunities

There are several learning and exchange programs available to students, both locally and overseas. In their third year of study, students can take part in a semester-long exchange program abroad. Moreover, all students have the opportunity to engage in experiential learning through internships and hands-on projects.

Career Prospects

Graduates will be valuable assets to manufacturing corporations, consultancy firms, e-commerce companies, retail companies, public utilities, banks, and transportation and logistics companies, such as airports, railway corporations, and container terminals. Some common job titles for graduates include Business Analyst, Industrial Engineer, Logistics Manager, Management Consultant, Planning Manager, Project Engineer, Quality Manager, and Supply-Chain Manager. Recent employers of graduates include Bloomberg, Cathay Pacific Airways, Chow Sang Sang, CLP, Credit Suisse, DHL, Government Logistics Department, Hong Kong Productivity Council, Hong Kong Airport Authority, HP, Louis Vuitton, L’Oréal, P&G, MTR, HIT, PwC, HSBC, Towngas, Vitech, Watsons, and Zung Fu.

Student Voices

“HKU Engineering actively encourages international exchange, which helped me develop a strong appreciation for multicultural collaboration and global innovation ecosystems.”

Admission standards

Hong Kong Diploma of Secondary Education (HKDSE) (JUPAS Admissions)

Eng = English | Chin = Chinese | Math = “Mathematics (Compulsory)” | M1/M2 = Mathematics Module 1 or 2

CSD = Citizenship and Social Development

Scoring Formula for 2027 – 2028 Entry: Eng + Math + Best 3 subjects%

% The scoring formula considers category A subjects and M1/M2 only, unless otherwise specified.

🖩 HKU JUPAS Score Calculator: https://admissions.hku.hk/apply/jupas/score-calculator

Minimum Level Required

Eng

Chin

Math

CSD

1st Elective Subject

2nd Elective Subject / M1 / M2

3

3

3

Attained (A)

3

3

Specific Elective Subjects / Other Requirements

Level 3 or above in one of the following subjects: Biology, Chemistry or Physics.

Consideration of Other Factors

    1. Level 3 or above in Mathematics Extended Part (Module 1 or 2) is preferred.
    2. Interview performance – Only applicants who list HKU Engineering’s programme(s) as their Band A choice(s)will be invited to interview.
    3. Number of subject(s) attaining Level 5**

Non-local Qualifications (Non-JUPAS Admissions)

We welcome applications from a broad spectrum of qualifications worldwide, including the Chinese Mainland NJCEE (Gao Kao), as well as various international qualifications, including the IB Diploma, GCE A Levels, SAT, and national examinations such as the Indian Board Examinations; the Kazakh Certificate of Completed Secondary Education; and Malaysian, Singaporean, Thai, Filipino, Indonesian, Japanese, and South Korean curricula, and many others.

Please refer to the Admissions Office website for details and their corresponding admission requirements: https://admissions.hku.hk/apply/international-qualifications#admissions-standard

  • Expected Lower Boundary for Admissions: 34
  • Subject Requirements: Mathematics and one Science subject (Biology or Chemistry or Physics) are required(Please refer to the Admissions Office website for details.)
  • Expected Lower Boundary for Admissions: 3A
  • Subject Requirements: Mathematics and one Science subject (Biology or Chemistry or Physics) are required (Please refer to the Admissions Office website for details.)

Programme Enquiries

Website: https://www.dase.hku.hk/
Email: dase@hku.hk
Tel: 3917 2583 / 3917 2586