BSc (Hons) in Mathematics and Statistics
Programme Director: Prof L. Liao
Bulletin 17/18 and before
Aims and Objectives
The B.Sc. programme is designed to provide students with an education that prepares them for careers as practicing mathematicians and/or statisticians. In order to accomplish this aim in the Hong Kong context, certain objectives have been incorporated into the curriculum as follows:
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to give students a solid foundation in fundamental mathematics and statistics upon which to build their understanding of mathematical applications;
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to provide a broad-based applied mathematics and statistics education;
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to integrate computing literacy throughout students' studies because computers are indispensable tools for solving mathematical and statistical problems;
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to foster in students an eagerness to solve scientific, industrial and commercial problems of concern to the local community and beyond, and
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to teach students how to formulate suitable mathematical and statistical models for solving these problems.
The optional concentrations provide great flexibility to students. Students can choose the programme without concentration, one or even two concentrations according to their interest and career goal. These concentrations are designed to deliver some more specific objectives.
Concentration in Actuarial Statistics (collaborated with Simon Fraser University)
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to provide an environment for students to understand, learn, and master the basic modelling and technical knowledge in the major areas of statistics and actuarial science;
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to incorporate the underlying theory, principles, and techniques of statistical models to solve problems in insurance, finance and other industries and professions.
Concentration in Financial Risk Management (collaborated with School of Business)
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to provide an environment for students to understand, learn, and master the basic modelling and technical knowledge in the major areas of financial risk management;
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to incorporate the underlying theory, principles, and techniques of applied mathematics and statistics to solve financial risk management problems.
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to provide an environment for students to understand, learn, and master the basic modelling and technical knowledge in the major areas of operations research.
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to strength students' ability in quantitative analysis and in making statistically sound interpretations, based on the solid knowledge in mathematics and statistics;
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to incorporate the underlying theory, principles, and techniques of applied mathematics and statistics with scientific computation tools and statistical and computing software packages to solve practical problems.
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to give students a thorough knowledge of numerical methods, numerical analysis, and modelling for practical computing in a broad range of disciplines and applications;
- to provide students rigorous research and analytical skills to evaluate research techniques, methodologies, and to interpret results in their own field and research.
Diploma in Education (with an additional year)
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For students seriously considering a career in teaching, they may apply, at the end of Year 2, to join this integrated 5-year programme, the suggested study plan of which can be found here.
- Successful graduates from this 5-year programme will receive both the BSc (Hons) in Mathematics and Statistics and the Diploma in Education.
Common Year 1 Science Core Courses: | 16 units | |
| BIOL1005 Introduction to Biology | 3 units | |
| CHEM1005 Introduction to Chemistry | 3 units | |
| COMP1005 Essence of Computing | 3 units | |
| MATH1005 Calculus I or MATH1006 Advanced Calculus I | 3 units | |
| PHYS1005 Introduction to Physics and Energy Science | 3 units | |
| SCIE1005 Integrated Science Laboratory | 1 unit | |
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After completing the first year, students in Science Faculty may select BSc in Mathematics and Statistics as their major if they receive * a grade C in MATH1005 Calculus or, * a grade D in MATH1006 Advanced Calculus I. First priority will be given to those students who have achieved a grade of at least B in MATH1005 or at least C in MATH1006. |
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Major Requirements for Graduation: |
45 units | |
| Core Courses (3 units each): | 33 units | |
| MATH2205 Multivariate Calculus | 3 units | |
| MATH2206 Probability & Statistics | 3 units | |
| MATH2207 Linear Algebra | 3 units | |
| MATH2215 Mathematical Analysis or MATH2217 Advanced Calculus II | 3 units | |
| MATH2216 Statistical Methods and Theory | 3 units | |
| MATH3205 Linear Programming and Integer Programming | 3 units | |
| MATH3206 Numerical Methods I | 3 units | |
| MATH3405 Ordinary Differential Equations | 3 units | |
| MATH3805 Regression Analysis | 3 units | |
| MATH3806 Multivariate Statistical Methods | 3 units | |
| MATH4998 Mathematical Science Project I | 3 units | |
| 12 units of Major Electives, at least 3 units in Level 4, can be fulfilled with any MATH3XXXX and MATH4XXXX. Job practicum (MATH 3495-7) cannot be used to fulfil the Major Electives requirement. | ||
Concentrations
The additional graduation option of BSc (Hons) in Mathematics and Statistics with Concentration is available. The Department of Mathematics offers the following concentrations:
- Actuarial Statistics (collaborated with Simon Fraser University);
- Financial Risk Management (collaborated with School of Business);
- Operations Research;
- Quantitative Data Analysis;
- Scientific Computing.
Students can make use of the Major Electives and Free Electives to pursue a concentration within the department by completing seven required courses (or 21 units).
It is possible for students to make use of the remaining Free Electives to pursue a second concentration by completing another seven required courses (or 21 units) in the second concentration. Courses may not be doubled counted towards multiple concentration requirements. Students are welcome to seek advice from academic advisor of the corresponding concentration if assistance is needed.
For students pursuing one concentration, the allocation of the 129 units for graduation is as follows.
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For students pursuing two concentrations, the allocation of the 129 units for graduation is as follows.
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The lists of courses for the concentrations are as follows.
| Actuarial Statistics | ||
| Core course: | ||
| MATH3837 Actuarial Mathematics | ||
| 3 courses from SFU: | ||
| MATH4685, MATH4686, MATH4687 Special Topics in Actuarial Statistics I, II, III* | ||
| MATH3837 Actuarial Mathematics | ||
| MATH4827 Actuarial Mathematics II* | ||
| MATH4835 Property and Casualty Insurance* | ||
| MATH4836 Theory of Pension* | ||
| 3 courses from HKBU: | ||
| MATH3826 Markov Chain and Queuing Theory | ||
| MATH4205 Topics in Probability Theory & Stochastic Processes | ||
| MATH4817 Stochastic Models | ||
| MATH4825 Survival Analysis | ||
| MATH4826 Time Series and Forecasting | ||
| Financial Risk Management (choose all 7 courses) | ||
| MATH4205 Topics in Probability Theory and Stochastic Processes | ||
| MATH4216 Mathematical Finance | ||
| MATH4826 Time Series and Forecasting | ||
| MATH4837 Risk and Portfolio Management | ||
| FINE3006 Introduction to Futures and Options Markets | ||
| FINE3007 Fixed Income Securities | ||
| FINE4006 Financial Risk Management | ||
| Operations Research (choose any 7 courses) | ||
| MATH3425 Graph Theory | ||
| MATH3427 Real Analysis | ||
| MATH3605 Numerical Methods II | ||
| MATH3625 Iterative Methods | ||
| MATH3807 Simulation | ||
| MATH3817 Dynamic Programming and Stochastic Programming | ||
| MATH3826 Markov Chain and Queuing Theory | ||
| MATH3827 Logistics, Inventory Models and Networks | ||
| MATH3836 Data Mining | ||
| MATH4615 Introduction to Numerical Linear Algebra | ||
| MATH4815 Interior Point Methods for Convex Optimization | ||
| MATH4816 Optimization Theory and Techniques | ||
| MATH4826 Time Series and Forecasting | ||
| MATH4865, MATH4866, MATH4867 Special Topics in Operations Research I, II, III | ||
| Quantitative Data Analysis (choose any 7 courses) | ||
| MATH3416 Complex Analysis | ||
| MATH3427 Real Analysis | ||
| MATH3605 Numerical Methods II | ||
| MATH3815 Statistical Design and Analysis of Experiments | ||
| MATH3816 Statistical Analysis of Sample Surveys | ||
| MATH3826 Markov Chain and Queuing Theory | ||
| MATH3836 Data Mining | ||
| MATH4205 Topics in Probability Theory and Stochastic Processes | ||
| MATH4615 Introduction to Numerical Linear Algebra | ||
| MATH4805 Applied Nonparametric Statistics | ||
| MATH4807 Categorical Data Analysis | ||
| MATH4817 Stochastic Models | ||
| MATH4825 Survival Analysis | ||
| MATH4826 Time Series and Forecasting | ||
| MATH4875, MATH4876, MATH4877 Special Topics in Statistics I, II, III | ||
| Scientific Computing (choose any 7 courses) | ||
| MATH3407 Advanced Linear Algebra | ||
| MATH3415 Vector Calculus | ||
| MATH3416 Complex Analysis | ||
| MATH3427 Real Analysis | ||
| MATH3605 Numerical Methods II | ||
| MATH3606 Partial Differential Equations | ||
| MATH3615 Introduction to Imaging Science | ||
| MATH3616 Numerical Methods for Differential Equations | ||
| MATH3625 Iterative Methods | ||
| MATH4606 Functional Analysis | ||
| MATH4615 Introduction to Numerical Linear Algebra | ||
| MATH4815 Interior Point Methods for Convex Optimization | ||
| MATH4816 Optimization Theory and Techniques | ||
| MATH4817 Stochastic Models | ||
| MATH4665, MATH4666, MATH4667 Special Topics in Applied Mathematics I, II, III | ||
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