BSc (Hons) in Mathematics and Statistics

Programme Director: Dr. J. Fan

Bulletin 18/19 to 20/21

 

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:

  1. to give students a solid foundation in fundamental mathematics and statistics upon which to build their understanding of mathematical applications;
  2. to provide a broad-based applied mathematics and statistics education;
  3. to integrate computing literacy throughout students' studies because computers are indispensable tools for solving mathematical and statistical problems;
  4. to foster in students an eagerness to solve scientific, industrial and commercial problems of concern to the local community and beyond, and
  5. 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)
  1. 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;
  2. 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)
  1. 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;
  2. to incorporate the underlying theory, principles, and techniques of applied mathematics and statistics to solve financial risk management problems.
Concentration in Operations Research
  1. to provide an environment for students to understand, learn, and master the basic modelling and technical knowledge in the major areas of operations research.
Concentration in Quantitative Data Analysis
  1. to strength students' ability in quantitative analysis and in making statistically sound interpretations, based on the solid knowledge in mathematics and statistics;
  2. 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.
Concentration in Scientific Computing
  1. to give students a thorough knowledge of numerical methods, numerical analysis, and modelling for practical computing in a broad range of disciplines and applications;
  2. 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)
  1. 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.
  2. 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 Biology3 units 
CHEM1005 Introduction to Chemistry3 units 
COMP1005 Essence of Computing3 units 
MATH1025 Introduction to Mathematics and Statistics 3 units 
PHYS1005 Introduction to Green Energy3 units 
SCIE1005 Integrated Science Laboratory1 unit 
     
After completing the first year, students in Science Faculty may select BSc in Mathematics and Statistics as their major if they receive
(a) cGPA 2.0; and
(b) Grade C in MATH1025 Introduction to Mathematics and Statistics
     
At most one of BIOL1005, CHEM1005 and PHYS1005 can be replaced by a 3-unit Major elective course.  

Major Requirements for Graduation:

51 units

Core Courses (3 units each): 39 units
MATH1005 Calculus I 3 units 
MATH2225 Calculus II 3 units 
MATH2205 Multivariate Calculus3 units 
MATH2206 Probability & Statistics3 units 
MATH2207 Linear Algebra3 units 
MATH2215 Mathematical Analysis 3 units 
MATH2216 Statistical Methods and Theory3 units 
MATH3205 Linear Programming and Integer Programming3 units 
MATH3206 Numerical Methods I3 units 
MATH3405 Ordinary Differential Equations3 units 
MATH3805 Regression Analysis3 units 
MATH3806 Multivariate Statistical Methods3 units 
MATH4998 Mathematical Science Project I3 units 
     
12 units of Major Electives, at least 3 units in Level 4, can be fulfilled with any MATH3XXX and MATH4XXX excluding MATH3495/3496/3497 Job practicum, MATH3095/3096 Summer Research and MATH3097 Programming with Mathematical Software. The GE capstone GCAP3005 or GCAP3017 can be double-counted towards the major elective requirements, and the outstanding 3 units have to be made up by taking any 3-unit letter-grade MATH1xxx or MATH2xxx courses. However, none of these two courses can be counted towards the concentration 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:

  1. Actuarial Statistics (collaborated with Simon Fraser University);
  2. Financial Risk Management (collaborated with School of Business);
  3. Operations Research;
  4. Quantitative Data Analysis;
  5. 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 128 units for graduation is as follows.

University Core13 units  
General Education18 units  
Common Year 1 Science Core16 units  
Major Core 39 units   
Major Electives12 units Concentration (Optional)
Free Electives9 units
Free Electives21 units  
  128 units  

 

For students pursuing two concentrations, the allocation of the 128 units for graduation is as follows.

University Core13 units  
General Education18 units  
Common Year 1 Science Core16 units  
Major Core 39 units  
Major Electives12 units Concentration 1 (Optional)
Free Electives9 units
Free Electives21 unitsConcentration 2 (Optional)
  128 units  

 

The lists of courses for the concentrations are as follows. Note that neither GCAP3005 nor GCAP3017 will be counted towards the concentration requirement.

Actuarial Statistics
At least 3 courses from SFU*:
MATH3837 Actuarial Mathematics
MATH4685, MATH4686, MATH4687 Special Topics in Actuarial Statistics I, II, III
MATH4827 Actuarial Mathematics II
MATH4835 Property and Casualty Insurance
MATH4836 Theory of Pension
The remaining units from HKBU:
MATH3826 Markov Chain and Queuing Theory
MATH3845 Interest Theory and Applications
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
MATH3626 Computational Statistics for Data Science
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
MATH3626 Computational Statistics for Data Science
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
 
*
  1. Courses are offered by SFU and students will study at SFU for at least 1 semester as exchange students via the International Office.
  2. Students are recommended to take MATH3845 Interest Theory and Applications (pre-requisite requirement of MATH3837 Actuarial Mathematics) in Semester 2 of Year 2 and study at SFU in Semester 1 of Year 3.
  3. Interested students with good academic standing (GPA of 3.0 or above) should submit applications to the Department to declare Concentration after completing MATH3845. Students are conditionally admitted by the highest GPA until the quota is filled. Entrance to the Concentration must be approved by the Department before students studying abroad at SFU.
  4. Students returning from exchange at SFU will follow the normal procedure to apply for transfer of units but the grades will NOT be transferred or included in the GPA calculation.
  5. Except for claiming the Concentration of Actuarial Statistics at HKBU, students will NOT get any certificate from SFU and will NOT be granted exemption of professional qualification examinations by completing the Concentration.
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