Faculty of Computer and Mathematical Sciences
CODE
63024
SUBCODE
63024-OFM-OPM
ENTRY

Sept 2025 Entry

STUDY MODE
Mixed Mode
DURATION

1.5 years (Full-time)
3 years (Part-time)

CREDIT REQUIRED

31

FUND TYPE
Self-Financed
  • Non-local applicants must be registered as full-time students.

  • Entry scholarships will be granted to applicants with excellent academic achievements. Please refer here for further details.

Application Deadline
Local - Mixed Mode
Sept 2025 Entry - Early Round Application Deadline: 2024-11-21; Main Round Application Deadline: 2025-04-30
Non-local - Mixed Mode
Sept 2025 Entry - Early Round Application Deadline: 2024-11-21; Main Round Application Deadline: 2025-04-30
About Programme
How to Apply
Aims & Characteristics

Programme Aims

Operational research, risk analysis, mathematics and statistics are fundamental yet constantly developing subjects. Apart from being the unique discipline, they form the basis of modern commercial, financial, industrial and technological activities. Mathematical/operational research/statistical models underpin many aspects of operational research and risk analysis nowadays.

 

The primary aim of this programme is to produce graduates with strong operational research, risk analysis and statistical skills and a thorough understanding of their applications in the world of modern operational research and risk analysis. The programme develops students’ analytical, critical and communication skills, which enables them to pursue a variety of jobs related to operational research and risk analysis, in areas such as logistics service providers, retail, banking, insurance, procurement/sourcing and supply chain functions, and modern financial product development and pricing.

 

The secondary aim of the programme is to provide a solid theoretical foundation of operational research, risk analysis and statistics to our students, who will then be able to develop an outlook and powerful methodology that remains valuable in whatever careers they pursue in the fast moving world of business, commerce, finance industry and insurance.

 

Characteristics

Hong Kong is a gateway between East and West. As a global service centre, it plays a major role in interfacing between suppliers and customers around the world. To retain their leading competitive position in serving international markets, it is crucial for Hong Kong businesses to embrace best practices in operational research. As a result, companies are increasingly looking for innovative leaders with the vision and skill to manage their logistics. Moreover, this programme provides training in risk analysis so that graduates can serve policy makers and institutional investors, with foci on various types of financial products such as mutual funds and hedge funds.

Curriculum

Programme Structure

Students must complete 7 Compulsory Subjects (21 credits), and 3 Elective Subjects (9 credits) or a Dissertation (9 credits). There is also a 1-credit compulsory subject, Academic Integrity and Ethics in Science.

 

For details of the programme structure, please refer to 
https://www.polyu.edu.hk/ama/study/pg/master-operational-and-risk-analysis/.

 

Core Areas of Study

7 Compulsory Subjects (21 credits, to be completed in the first year of study)

  • Advanced Operations Research Methods

  • Business Forecasting

  • Financial Modeling

  • Operations Research Methods

  • Principles of Risk Analysis

  • Probability and Stochastic Models

  • Simulation and Risk Analysis

Academic Integrity and Ethics in Science (1 credit)

 

3 Elective Subjects from the following list or a Dissertation (9 credits)

  • Advanced Topics in Quantitative Finance

  • Corporate Risk Management

  • Economics for Financial Analysis

  • Investment Science

  • Mathematics of Derivative Pricing

  • Mathematics of Finance

  • Optimisation Methods

  • Principles of Corporate Finance

  • Quantum Computing for Data Science

  • Scientific Computing

  • Statistical Data Mining

  • Statistical Inference

  • Stochastic Models for Carbon Pricing and Trading

  • Supply Chain Management

 

Information on the subjects offered can be obtained at https://www.polyu.edu.hk/ama/study/pg/master-operational-and-risk-analysis/curriculum/.

Credit Required for Graduation

31

Programme Leader(s)

Programme Leader

Dr Zhou Zhi
BSc, PhD

Deputy Programme Leader

Dr Cui Jianbo
BSc, PhD

Assistant Programme Leader

Dr Chen Kexin
BSc, MPhil, PhD

Subject Area
Operational Research and Risk Analysis
Entrance Requirements
  • ​A Bachelor's degree with Honours in engineering, computer science, basic science, finance, economics or the equivalent (industrial or business experience will be an asset).

 

If you are not a native speaker of English, and your Bachelor's degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the University’s minimum English language requirement for admission purpose. Please refer to the "Admission Requirements" section for details.

Enquiries

For further information, please contact Mr Tim Tsui, Programme Secretary (tel: (852) 2766 6947);
or email: msc.orra@polyu.edu.hk

Initial Registration Credits

3 for local students
9 for non-local students

Tuition Fee

HK$9,800 per credit for local and non-local students 

(Note: There is no tuition charge for the 1-credit Academic Integrity and Ethics subject.)

Student Message

I was very impressed by the experience and wisdom of the well-established faculty and the kindness of the staff members whenever I was in need of support while studying for my MSc in Operational Research and Risk Analysis. As a student with an undergraduate background in finance, the MSc programme enriched my knowledge of numerical systems and helped me to further understand risk control and optimisation methods through real-life case studies. The subsequent improvement in my analytical and decision-making skills helped me to be more competent in my job. The programme was a perfect opportunity to receive a top-notch education and to take in the most up-to-date information in the field.

Li Jialin
Additional Documents Required
Transcript / Certificate

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Curriculum Vitae

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Personal Statement

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