M.Phil. in Risk Management Science

Overview

Financial crises during the late 1990s have stimulated not only public interest in risk management, but also their awareness of its importance in today's investment environment. A good understanding of risk management is vital to many companies. Risk management is a highly quantified, scientific and methodological subject that is closely related to statistics. This programme is designed to fulfill the growing demand of expertise in this area which combines theories with applications to provide training to people interested in enterprising in risk management discipline. Graduates of this programme will acquire the state-of-the-art risk management expertise and will play a leading role in the risk management industry in Hong Kong and abroad. Students must complete a minimum of 24 units to graduate.

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Admission and Enquiries

In addition to the general qualifications required for admission to the Graduate School, applicants should have majored in Risk Management Science, Mathematics, Statistics, Finance, or a related field. All applicants must also fulfill the "English Language Proficiency Requirement" as stipulated by the Graduate School before being considered for admission. Please refer to the "Postgraduate Prospectus 2017-2018" or Homepage (http://www.gs.cuhk.edu.hk/) for details on such requirement. 

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Programme of Study

(i) Coursework Requirement
Students are required to complete a minimum of 30 units of courses for graduation.

First Year of Attendance [15 units]

RMSC5003, RMSC8206, STAT 5010 and one relevant course of 5000-level or above approved by the programme.

Second Year of Attendance [15 units]

RMSC5004 or other relevant courses of 5000-level or above approved by the programme, RMSC8301, RMSC8302

Total: 30 units


(Note: Subject to the requirement of the programme, a student may be required to take an additional course chosen from RMSC4001, 4002, 4003, 4004, 4005 or 4007) 

(ii) Other Requirements

(a) Students are required to submit a research thesis and pass an oral examination for graduation.

(b) A student who obtains a cumulative grade point average (GPA) below 2.0 in the preceding term or receives a failure grade in thesis monitoring courses (for Research Postgraduate Programmes) will be put on academic probation. For details, please refer to Clause 13.0 "Unsatisfactory Performance and Discontinuation of Studies" of the General Regulations Governing Postgraduate Studies which can be accessed from the Graduate School Homepage: http://www.gs.cuhk.edu.hk/.

(c) Complete an Improving Postgraduate Learning (IPL) module on “Observing Intellectual Property and Copyright Law during Research”. This will be an online module and relevant information can be accessed from the website: http://www.cuhk.edu.hk/clear/prodev/ipl.html.

Application Procedure and Enquiries

Applicants can submit applications via the Internet through Online application. Paper application forms are also obtainable at the Graduate School Office (7th Floor, Yasumoto International Academic Park, The Chinese University of Hong Kong, Shatin, N.T.)

Completed application forms and required support documents should be returned to the relevant divisions, as specified in the "Notes for Applicants" of the application form. All supporting documents, including transcripts from the universities attended by the applicants and confidential recommendations from two referees, must reach the relevant divisions before the application deadline. 

Applicants who apply via the Internet: Online application, should quote the "Application No." generated for their applications when they send the hardcopies of their supporting documents to the Graduate Divisions. For the list of required support documents, please refer to the Graduate School Homepage http://www.gs.cuhk.edu.hk/page/ApplicationforAdmission. The deadline for application for 2019/20 cohort is 31 December 2019. 

For general enquiries, please contact us at 

Tel: (852) 3943-7931
Fax: (852) 2603-5188 
Email: esthertam [at] cuhk.edu.hk

Fields of Specialisation

  • Risk theory and risk measures
  • Time series, statistical modelling of stochastic processes
  • Portifolio optimization
  • Fixed income modeling, credit risk and market risk
  • Pricing of risky claims
  • Actuarial science