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.
Mandatory Science Courses: 
SCIE1006 Molecular Science in Daily Life 
SCIE1007 Big Data and Smart Technology 
Year 1 Science and Technology Elective Courses (Choose 3 out of 5 below): 
BIOL1005 Introduction to Biology 
CHEM1005 Introduction to Chemistry 
COMP1005 Essence of Computing* 
MATH1025 Understanding Mathematics and Statistics* 
GEST1005 Introduction to Green Energy and Smart Technology 
*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 GEST1005 can be replaced by a 3unit Major elective course. 
Major Requirements for Graduation: 
Major Core Courses 
MATH1005 Calculus I 
MATH2007 Programming with Mathematical Software 
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. 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.
Data Science (total 7 courses) 
Group A: All of: 
MATH3836 Data Mining 
MATH4225 Foundation of Big Data and Learning 
Group B: At least 6 units from:** 
MATH4226 Introduction to Deep Learning 
MATH4227 Programming for Data Science 
MATH4815 Interior Point Methods for Convex Optimization 
MATH4816 Optimization Theory and Techniques 
Group C: At least 3 units from:** 
MATH3427 Real Analysis 
MATH3605 Numerical Methods II 
MATH3615 Introduction to Imaging Science 
MATH3626 Computational Statistics for Data Science 
MATH3826 Operations Research II 
MATH4615 Numerical Linear Algebra 
MATH4807 Categorical Data Analysis 
MATH4826 Time Series and Forecasting 
MATH4875, 4876, 4877 Special Topics in Statistics I, II, III 
** Students should take MATH4225 and MATH3836 as core courses; at least 6 units from Group B; and the remaining units from either Group B or Group C.
The GE capstone GCAP3005 or GCAP3017 cannot be doublecounted towards the concentration requirement.
Applied Statistics (retitled from 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 
MATH3825 Life Insurance and Life Contingencies 
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, 4876, 4877 Special Topics in Statistics I, II, III 
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