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:
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.
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  
MATH1025 Understanding Mathematics and Statistics*  3 units  
PHYS1005 Introduction to Green Energy  3 units  
SCIE1005 Integrated Science Laboratory  1 unit  
*Required courses for students taking MATH & STAT as major  
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 Understanding Mathematics and Statistics  
At most one of BIOL1005, CHEM1005 and PHYS1005 can be replaced by a 3unit Major elective course.  
Major Requirements for Graduation: 
51 units  
Core Courses (3 units each):  39 units  
MATH1005 Calculus I  
MATH2225 Calculus II  
MATH2205 Multivariate Calculus  
MATH2206 Probability & Statistics  
MATH2207 Linear Algebra I  
MATH2215 Mathematical Analysis  
MATH2216 Statistical Methods and Theory  
MATH3205 Operations Research I  
MATH3206 Scientific Computing I  
MATH3405 Differential Equations I  
MATH3805 Regression Analysis  
MATH3806 Multivariate Statistical Methods  
MATH4998 Mathematical Science Project I  
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 doublecounted towards the major elective requirements, and the outstanding 3 units have to be made up by taking any 3unit lettergrade MATH1xxx or MATH2xxx courses. However, none of these two courses can be counted towards the concentration requirement. 
The additional graduation option of BSc (Hons) in Mathematics and Statistics with Concentration is available. The Department of Mathematics offers the following concentrations:
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).
For students pursuing one concentration, the allocation of the 128 units for graduation is as follows.

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

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 Opterations Research II  
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 Operations Research II  
MATH3827 Logistics, Inventory Models and Networks^{#}  
MATH3836 Data Mining  
MATH4615 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 Operations Research II  
MATH3836 Data Mining  
MATH4205 Topics in Probability Theory and Stochastic Processes  
MATH4615 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 Linear Algebra II  
MATH3415 Vector Calculus  
MATH3416 Complex Analysis  
MATH3427 Real Analysis  
MATH3605 Numerical Methods II  
MATH3606 Differential Equations II  
MATH3615 Introduction to Imaging Science  
MATH3616 Scientific Computing II  
MATH3625 Iterative Methods^{#}  
MATH3626 Computational Statistics for Data Science  
MATH4606 Functional Analysis  
MATH4615 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  
^{#} Not offer from AY22/23 and afterwards  

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