
POSTGRADUATE PROGRAMMES
MSc in Financial Mathematics
and Statistics (MSFMS)
Title
Admission
General Information
Programme Code | P68 |
Mode of Study | Combined Mode |
Normal Study Period | 1 year (full-time) 2 years (part-time / combined mode) |
Credit Units Required for Award | 30 or 31 |
Programme Leader | Dr Heng LIAN |
Deputy Programme Leader | Dr Pierre NOLIN |
Programme Leaflet | Download pdf(2023 Entry) |
Programme Details
Title
Title
Introduction
This programme is offered by the Department of Mathematics of City University of Hong Kong. The programme emphasizes the development of students’ ability to evaluate and develop financial business and statistical models. It also provides students with the theoretical knowledge necessary for complex financial and insurance operations. Furthermore, the programme enhances their mathematical and computational skills in Financial Mathematics and Risk Management.
Graduates should be able to price various modern financial and insurance products and to assess and manage financial and insurance risks. The programme will significantly enhance the competitiveness of its graduates in the job market. It is expected that students majoring in areas like Financial Engineering, Actuarial Science, Mathematics, Statistics, Physics, Engineering, Computing and Information Technology, as well as professionals from both finance and insurance industries will benefit from this master degree programme.
Unique Features
– The programme aims at producing analytical graduates with business awareness as well as solid background in financial engineering and risk management, and to equip students with relevant theoretical knowledge as well as statistical and computational skills in a global business context.
– Students will conduct research projects with faculty members. Through classroom learning and interaction with their supervisors, students will understand the new cutting-edge techniques and develop their interests in research. Such experience will serve as the foundation for students to pursue a PhD degree.
– Graduates will be equipped with mathematical skills, contemporary finance theory and information technology knowledge, and be ready for a professional career in finance/statistical industries.
Department of Mathematics at City University of Hong Kong
The Department specializes in applied and computational mathematics. It possesses a strong team of over 25 full-time academic faculty members who are experts in a wide range of applied topics. They are active researchers with excellent track records. The Department provides ideal learning environment for students and trains them in practical problem solving.
Programme Structure
Students are required to complete a minimum of 30 credit units*:
Course type | Credit Units |
---|---|
Cores | 15 |
Electives | 15 or 16 |
Total | 30 or 31 |
* Each course carries 3 credit units, except MA6616 Project (1 credit unit) and MA6617 Dissertation (6 credit units).
Course List 2022/2023
Students are required to take the following cores and select courses from a pool of elective courses listed below.
Core Courses
Elective Courses
Course Code | Course Title | Credit Unit | Semester | ||||
---|---|---|---|---|---|---|---|
MA5601 | Applied Partial Differential Equations | 3 | A | ||||
MA6612 | Numerical Partial Differential Equations | 3 | B | ||||
MA6616 | Project | 1 | B & S | ||||
MA6617 | Dissertation | 6 | A & B & S | ||||
MA6622 | Statistical Methods and Calibration in Finance and Actuarial Science | 3 | B | ||||
MA6627 | Stochastic Interest Rate Models | 3 | B | ||||
MA6628 | Programming and Computing in Financial Engineering | 3 | A | ||||
MA6630 | Introduction to Statistical Learning | 3 | B | ||||
MA6631 | Special Topics | 3 | - | ||||
MA6632 | Statistical Analysis of Financial Big Data | 3 | - | ||||
BIOS6900 | Time Series Analysis | 3 | B | ||||
EF5042 | Corporate Finance | 3 | A & B | ||||
EF5340 | Credit Risk Management | 3 | B |
Credit Transfer / Exemption
If applicants have completed equivalent courses at a university level, they may be eligible to apply for credit transfer (at a maximum of 9 credit units) or exemption from some programme requirements upon admission to the University. In such cases, the standard application fee will be charged in accordance with the University’s policy.
Mode of Study
Courses will be delivered during evenings and, probably, also on Saturday afternoons/evenings. Some courses may be taught in intensive mode by visiting experts (i.e. 39 hours to be taught in 7 weeks in Semester A/B or 5 weeks in Summer Term). Since full-time students may also take some courses along with part-time students, they may have to attend classes in the evenings and weekends.
Normative Study Period
– 2-3 semesters (full-time)
– 4-5 semesters (part-time)
Commencement
September 2022
Entrance Requirements
To be eligible for admission, the applicants must hold a first degree or a postgraduate degree in science and engineering (Mathematics, Physics, Statistics, Computer Science, Engineering, etc.), or in a related discipline (Economics, Finance, and Actuarial Science), or equivalent.
Online Application
Fees
Application fee: HK$300
Tuition fee: HK$6,400 per credit unit (subject to yearly review)
Graduation fee: HK$400
Successful applicants will be required to pay a deposit equivalent to 3 credit units.
Application Deadline (tentative)
31 January 2022
Education Loan
Successful applicants may apply for the Government’s Non-means-tested Loan Scheme. Application forms are obtainable from each District Office and the Student Financial Assistance Agency.
Enquiries: +852 2150-6222
Website: wfsfaa.gov.hk/sfo/en/index.htm
Government’s Continuing Education Fund (CEF)
A number of courses offered by the Department of Economics and Finance (EF), such as EF5042 Corporate Finance and EF5340 Credit Risk Management, have been specified by the Office of the Government’s Continuing Education Fund as “reimbursable courses”. Full details are obtainable at wfsfaa.gov.hk/cef/en/index.htm
Enquiries
Department of Mathematics, CityU
Room Y6524, Yeung Kin Man Academic Building City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong