Master of Science in Mathematics for Finance and Actuarial Science
Programme
Master of Science in Mathematics for Finance and Actuarial Science
金融與精算數學理學碩士
Award Title
Master of Science in Mathematics for Finance and Actuarial Science
Master of Science in Mathematics for Finance and Actuarial Science (Financial Computing)
金融與精算數學理學碩士
金融與精算數學理學碩士 (金融計算)
Offering Academic Unit
Department of Mathematics
Mode of Study
Combined mode

Normal Period of Study

- 1 year (full-time)
- 2 years (part-time/combined mode)

Maximum Period of Study

- 2.5 years (full-time)
- 5 years (part-time/combined mode)

Credit Units Required for Graduation

30

Programme Aims

This programme aims to
1. produce analytic, business-aware graduates with solid background in financial engineering, actuarial science and risk management;
2. equip students with theoretical knowledge, statistical methods and computational skills for developing financial and actuarial services within international business context;
3. integrate mathematical skills acquired in the curriculum with contemporary finance theory and information technology;
4. develop competence in an ability of applying mathematical and computing techniques to practical problems of quantitative finance and actuarial science; and
5. train students up to an academically qualified level for a professional career in finance and actuarial science.

Programme Intended Learning Outcomes (PILOs)

General Stream
Upon successful completion of this Programme, students should be able to
1. explain and analyse the basic principles of mathematical finance and actuarial science;
2. evaluate and investigate contemporary issues on financial and actuarial business opportunities;
3. apply mathematical and statistical tools in analyzing sophisticated financial products and actuarial operations;
4. design and evaluate quantitative models for pricing derivative securities, managing trading strategies and simulating market scenarios;
5. engage in accounting and marketing activities with techniques of risk management and portfolio assessment;
6. note and critique business issues on interpretation and quantification of financial risks with state-of-the-art methodology; and
7. undertake general practice of actuaries and financial engineers in an intellectual manner.

Financial Computing Stream
Upon successful completion of this Programme, students should be able to
1. explain and analyse the basic principles of mathematical finance and computing;
2. evaluate and investigate computational aspects on financial and actuarial business;
3. apply mathematical and statistical tools in analyzing sophisticated financial products and models;
4. design and interpret quantitative models for pricing derivative securities, managing trading strategies and simulating market scenarios;
5. engage in accounting and marketing activities with techniques of risk management and portfolio assessment;
6. note and critique business issues on interpretation and quantification of financial risks with state-of-the-art methodology; and
7. undertake computational practice of financial engineers in an intellectual manner.

Programme Requirements



1.    Programme Core Courses
General Stream: (12 credits)
Course CodeCourse TitleCredit Units
MA5621Mathematical Methods for Finance and Actuarial Science3
MA6621Programming and Computing in Finance and Actuarial Science3
EF5052Investments3
MA5620Actuarial Science3
Financial Computing Stream: (15 credits)
Course CodeCourse TitleCredit Units
MA5621Mathematical Methods for Finance and Actuarial Science3
MA6621Programming and Computing in Finance and Actuarial Science3
EF5052Investments3
MA5625Numerical Methods3
CS5301Computer Programming3

2.    Programme Electives: 
List A
General Stream: (Minimum 18 credits from the indicative elective list below)
Course CodeCourse TitleCredit UnitsRemarks
MA5601Applied Partial Differential Equations3
MA5622Statistical Methods for Stochastic Models in Finance and Actuarial Science3Students (General Stream) are required to take at least two electives from MA5622, MA5623 and MA6623 during their studies.
MA5623Mathematical Models and Methods in Asset Management3Students (General Stream) are required to take at least two electives from MA5622, MA5623 and MA6623 during their studies.
MA6623Advanced Mathematical Methods for Finance and Actuarial Science3Students (General Stream) are required to take at least two electives from MA5622, MA5623 and MA6623 during their studies
MA5624Seminars in Mathematics for Finance and Actuarial Science3
MA6609Statistical Methods in Science and Technology3
MA6612Numerical Partial Differential Equations3
MA6617Dissertation6
MA6620Advanced Actuarial Science3
MA6622Model Calibration in Finance and Actuarial Science3
MA6625Mathematical Methods for Risk Management3
MA6627Stochastic Interest Rate Models3
MA6653Special Topics in Actuarial Science3
EF5210Option Pricing3
MA5625Numerical Methods3
Financial Computing Stream: (Minimum 15 credits from the indicative elective list below)
Course CodeCourse TitleCredit Units
MA5601Applied Partial Differential Equations3
MA5622Statistical Methods for Stochastic Models in Finance and Actuarial Science3
MA5623Mathematical Models and Methods in Asset Management3
MA5624Seminars in Mathematics for Finance and Actuarial Science3
MA6609Statistical Methods in Science and Technology3
MA6612Numerical Partial Differential Equations3
MA6617Dissertation6
MA6620Advanced Actuarial Science3
MA6622Model Calibration in Finance and Actuarial Science3
MA6623Advanced Mathematical Methods for Finance and Actuarial Science3
MA6625Mathematical Methods for Risk Management3
MA6627Stochastic Interest Rate Models3
MA6653Special Topics in Actuarial Science3
EF5210Option Pricing3
MA5620Actuarial Science3
CS5281Internet Application Development3
CS6492Advanced Database Systems3

List B

General Stream: Students may take a maximum of 3 credits elective in their final year of studies from the following list of specified courses (i.e. List B) offered by the departments of CS, EF and MS.
Course CodeCourse TitleCredit Units
CS5483Data Warehousing and Data Mining3
EF5080Advanced Topics in Financial Engineering3
EF5157Fixed Income Securities3
EF5340Credit Risk Management3
MS6211Statistical Modelling in Risk Management3
MS6215Forecasting Methods for Business3
MS6711Data Mining3
CS5281Internet Application Development3
CS5301Computer Programming3
CS6492Advanced Database Systems3

Financial Computing Stream: Students may take a maximum of 3 credits elective in their final year of studies from the following list of specified courses (i.e. List B) offered by the departments of CS, EF and MS.
Course CodeCourse TitleCredit Units
CS5483Data Warehousing and Data Mining3
EF5080Advanced Topics in Financial Engineering3
EF5157Fixed Income Securities3
EF5340Credit Risk Management3
MS6211Statistical Modelling in Risk Management3
MS6215Forecasting Methods for Business3
MS6711Data Mining3

Additional Information

To Visiting Postgraduate Students

Certificate of Completion
Visiting postgraduate students are required to participate fully in the selected course(s), including attendance in lectures/tutorials/seminars, completion of coursework, and pass in examinations (if applicable). Those who have successfully completed the selected course(s) and fulfilled the specific requirements set by the department will earn the credits of the selected course(s) and receive a Certificate of Completion.

Certificate of Attendance
Visiting postgraduate students are required to attend at least 75% of the lectures/tutorials/seminars of their selected course(s). Upon fulfilling the attendance requirements of the selected course(s), the visiting postgraduate students will be issued a Certificate of Attendance but no credits will be earned.

Credits Transfer

Total credit unit transfer of a student cannot exceed 9 credit units for the whole degree programme and the courses for transfer must be taken by the student within 3 years from the date of application of transfer exercise.