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Chow Yei Ching School of Graduate Studies

Programme Information - Taught Postgraduate Programmes (TPg)

Applications for Taught Postgraduate Programmes are accepted starting from 15 November 2017.

MSc Financial Mathematics and Statistics

理學碩士(金融數學與統計)


Year of Entry 2018
Mode of Funding Non-government-funded
Programme Code P68
Mode of Programme Combined
Class Schedule Weekday evenings, Saturday afternoons plus intensive mode (i.e. 39 hours to be taught in 7 weeks in Semester A/B or 5 weeks in Summer Term)
Indicative Intake Target 40
Minimum No. of Credits Required 30
Normal Duration of Programme Full-time: 1 year (2-3 semesters);
Part-time: 2 years (4-5 semesters)
Maximum Study Period Full-time: 2.5 years;
Part-time/Combined mode: 5 years
Programme Website Click here to open
Tuition Fee Click here for more information
Application Deadline
31 Jan 2018 (Local & Non-local)
Mode of processing Applications are processed on a rolling basis. Review of applications will start before the deadline and continue until all places are filled. Early applications are therefore strongly encouraged.
Programme Leader
Dr Q S SONG
Wayne State University, USA
+852 3442 2926
Deputy Programme Leader
Dr J H WANG
University of Minnesota, USA
+852 3442 2153
General Enquiries
+852 3442 8441 (Phone)
+852 3442 0250 (Fax)
† Combined mode: Local students taking programmes in combined mode can attend full-time (12-18 credit units per semester) or part-time (no more than 11 credit units per semester) study in different semesters without seeking approval from the University. For non-local students, they will be admitted to these programmes for either full-time or part-time studies. Non-local students must maintain the required credit load for their full-time or part-time studies and any changes will require approval from the University.



Programme Aims and Objectives

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 Financial Engineering, Actuarial Science, Mathematics, Statistics, Physics, Engineering, Computing and Information Technology, etc. as well as professionals from both finance and insurance industries will benefit from this master degree programme.

Unique Features

The programme aims to produce 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. 


Entrance Requirements

To be eligible for admission, you must satisfy the General Entrance Requirements and the following programme specific entrance requirement:
  • have 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, Actuarial Science); or equivalent.
Applicants whose entrance qualification is obtained from an institution where the medium of instruction is NOT English should also fulfill the following minimum English proficiency requirement:
  • TOEFL score 550 (paper-based test) or 79 (internet-based test); or
  • Overall band 6.5 in International English Language Testing System (IELTS); or
  • Score 450 in the new College English Test (CET-6) of Chinese mainland or a pass in the old CET-6 test; or
  • Other equivalent qualifications.​

Course Description

Students are required to complete a minimum of 30 credit units.

Course Type

Core courses 15 credit units
Elective          15 credit units
Total               30 credit units

Students are required to take the following cores and select courses from a pool of elective courses listed below:

Cores

Financial Mathematics in Derivative Markets
Statistical Data Analysis
Stochastic Analysis in Finance
Advanced Stochastic Analysis in Finance
Statistical Modelling for Data Mining

Electives

Applied Partial Differential Equations
Numerical Partial Differential Equations
Dissertation (6 credit units)
Stochastic Interest Rate Models
Programming and Computing in Financial Engineering
Introduction to Statistical Learning
Special Topics
Statistical Analysis of Financial Big Data
Corporate Finance (Department of Economics and Finance)
Credit Risk Management (Department of Economics and Finance)
Statistical Modeling in Risk Management (Department of Management Sciences)