The Doctor of Decision Analytics (DDA) is the first professional doctorate programme in Hong Kong focused on decision analytics. It teaches students how to make complex business decisions using statistics and computer science, and how technology creates a global supply network. The programme provides advanced knowledge in statistics, computer science, and supply chain management, helping students make informed decisions in business and public sectors. It also integrates academic study with practical experience to support career development in business.

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The Programme Objectives (POs) are to:

  • Equip students with advanced decision analytics knowledge and enhance students’ communication and leadership skills for making appropriate decisions in business and public sectors.
  • Raise students’ awareness of ethical and professional issues in the decision analytics discipline.
  • Cultivate students’ ability to deal with complex/new issues and make informed judgement in situations in the absence of complete or consistent data/information.
  • Develop students’ ability to carry out independent research and enhance their ability to deliver ideas, research methodology and findings.

Upon completion of the Programme, students should be able to:

  • Apply a broad spectrum of advanced knowledge and skills for professional practice in decision analytics and produce creative and original responses to problems/issues in the context of new circumstances.
  • Deal with complex ethical and professional issues.
  • Deal with complex/new issues, evaluate strategies and situations critically, and form informed judgement while working with incomplete or inconsistent data/information.
  • Demonstrate effective research skills including formulation of a research problem, design of a research study, data analysis, summarizing and presenting the results.

Qualifications Framework

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Key Features

Equip students with advanced decision analytics knowledge and enhance student’s communication and leadership skills

Prepare students as competent and ethical professionals in decision analytics

Cultivate students’ ability to deal with complex/new issues and make informed judgement in situations in the absence of complete or consistent data/information

Develop students’ ability to carry out independent research and enhance their ability to deliver ideas, research methodology and findings

Medium of Instruction

English

Teaching Venues

The Hang Seng University of Hong Kong (HSUHK) Shatin Main Campus 
The Create at M+ Tower in the West Kowloon Cultural District (HSUHK Town Centre) 
Other venues designated by the University 

Programme Curriculum

The DDA programme consists of three major parts:

  1. four taught core modules;
  2. at least four taught elective modules;
  3. two professional and research modules.

Core Modules

Four taught core modules
  1. Quantitative Methods for Data Science
  2. Programming for Decision Analytics
  3. Research Methods for Decision Analytics 1
  4. Research Methods for Decision Analytics 2
Two professional and research modules
  1. DDA Residential
  2. DDA Thesis

Elective Modules

At least 4 Taught Elective Modules (select at least one module from at least two clusters)

Data Analytics Cluster*
  1. Data Analytics
  2. Analysis for Financial Time Series
  3. Simulation for Risk Management
  4. Advanced Data Analytics
  5. Big Data Management
  6. Big Data Security and Privacy
  7. Machine Learning
  8. Deep Learning
  9. Selected Topics in Data Science
  1. Contemporary Operations Management
  2. Global Supply Chain Management
  3. Transport Logistics and Law
  4. Strategic Procurement Management
  5. Decision Modelling for Managers
  6. Process Management in Supply Chain
  7. Project Management
  8. Supply Chain Analytics
  9. E-Business and Enterprise Systems
  10. E-Logistics and Technology Management
  11. Selected Topics in Supply Chain Management
  1. Accounting for Decision Making
  2. Fintech and Innovation
  3. Contemporary Issues in Financial Markets
  4. Global Management
  5. Digital and Cyber Marketing
  6. Global Strategic Marketing
  7. Managing Innovation in Information Technology

Mode of Study

Three years (Full time) 
Six years (Part time) 

Graduation Requirements

To be eligible for the award of the DDA Programme, students are required to:

  1. Complete and obtain a Grade D or above in at least 24 credits of taught modules, including 12 credits from all taught core modules;
  2. Receive a “Pass grade” for the residential module (6 credits) and the DDA thesis (30 credits); and
  3. Obtain a minimum cumulative GPA of 3.0.

Intermediate Exit Award

Students who leave completing part of, but not all the requirements of the DDA programme may apply for the Intermediate Exit Award of Master of Science in Decision Analytics (MSc-DA).

To be eligible for the award of the MSc-DA Programme, students are required to:

  1. Complete and obtain a Grade D or above in at least 24 credits of taught modules, including 12 credits from all taught core modules; and
  2. Obtain a minimum cumulative GPA of 2.0.

Programme Team

Wai Sum CHAN, Professor

PhD (Temple)
Actuarial Modeling, Business Forecasting, Financial Economics

Siu Kai CHOY, Professor,
Programme Director

PhD (HKBU)
Data Mining, Machine Learning, Image Processing

Derrick FUNG, Associate Professor

PhD (CUHK)
Insurance Regulation, Management, Corporate Finance for Insurers

George HO, Associate Professor
Associate Programme Director

PhD (HKPolyU)
Internet-of-Things Applications and Business Intelligence

Benson LAM, Associate Professor

PhD (HKCityU)
Data Mining, Machine Learning, Image Processing, Pattern Recognition

Hai LIU, Professor

PhD (HKCityU)
Robotics Networks, Cloud Computing, Swarm Intelligence

Chris MA, Associate Professor

PhD (Purdue)
Security and Privacy of Cyber Physical Systems

Helen MA, Associate Professor

PhD (HKPolyU)
Big Data and Machine Learning in Transportation Network Analysis

Daniel MO, Professor

PhD (HKUST)
Logistics Systems Optimization, Design of Intelligence Systems

Stephen NG, Associate Professor

PhD (CUHK)
Supply-chain Quality and Risk Management

Tom NG, Associate Professor

PhD (CUHK)
Change-point Analysis, Bootstrap Resampling, Time Series

Chi Chung SIU, Associate Professor

PhD (TMU)
Stochastic Control, Actuarial Mathematics, Financial Mathematics, Operations Research, Stochastic Differential Games

Eugene WONG, Associate Professor

PhD (HKU)
Maritime and Aviation Logistics, Supply Chain Decarbonization, Shipping Law

Jack WU, Associate Professor

PhD (HKPolyU)
Industrial Internet-of-Things, Smart Logistics and Manufacturing

Carisa YU, Associate Professor

PhD (HKPolyU)
Asset Management, Risk Management, Financial Optimization, Option Pricing

Admission Details

Admission Requirements
  1. A bachelor’s degree with second class honours (upper division) or equivalent in science, engineering, business or related disciplines from a recognised university or institution; or
    A master’s degree or equivalent in science, engineering, business or related disciplines from a recognised university or institution;
  2. A minimum of three years’ relevant work experience; and
  3. Fulfilment of one of the following English language proficiency requirements is required if none of the applicant’s previous degrees (bachelor’s or master’s) was obtained from a university/tertiary institution where English is the medium of instruction:
    • TOEFL≥550 (paper-based), ≥79 (Internet-based),
    • IELTS (Academic) ≥ 6.0,
    • CET 6 ≥ 430 or “Pass” if the test was taken before June 2005;
    • or an equivalent qualification.

HK$600,000 (Total 60 credits)

Applications should be submitted online through Postgraduate Admission System. Applicants are reminded to read the Notes for Applicants before submitting the application.

Non-local Application Deadline:
1st round: 28 February 2026
2nd round: 30 June 2026

Local Application Deadline:
22 August 2026

Programme Facilities

Laboratory Facilities

Virtual Reality and Big Data Analytics Laboratory
Decision Sciences Technology Laboratory
Applied Statistics Laboratory

Research Centres

Big Data Intelligence Centre
Supply Chain Excellence and Innovation Centre

Research Performance

Strategic Research Area

  • Artificial Intelligence and Networking with Cloud
  • Business Analytics and Supply Chain Excellence
  • Data Mining and Quantitative Risk Management

Research Grants (up to 2024/25)

  • Over HK$160 million

Message from Industry Leaders

Decision analytics is a discipline which ensures that business decisions are made by considering all the relevant factors, information, and options available. Therefore, our company has always treated *Decision analysis* as a very crucial role in all business areas such as risk, capital investments, strategy, asset investment planning, and more.  

Dr Rocky Lam 

(Business Director, Vantis Consulting Group) 

This programme is designed to empower professionals with cutting-edge analytical skills and strategic decision-making capabilities. I believe it will shape future leaders who can navigate complex challenges and drive impactful change in a data-driven world. 

Ms Christine Yau

President of Project Management Institute Hong Kong Chapter

Below are some examples of position and industries:

Job PositionIndustries
Data ScientistAll major industries around the world
Data Analytics ManagerAll major industries around the world
Head of Supply ChainSupply chain industries
Logistics ManagerSupply chain industries
Project ManagerAll major industries around the world

Contact Us

dda@hsu.edu.hk

+852 3963 5594

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