Bachelor of Science (Honours) in Mathematics and Statistics
Programme Director: Dr Leevan Ling
 

The 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:

 
a) To give students a solid foundation in fundamental mathematics and statistics upon which to build their understanding of mathematical applications;
b) To provide a broad-based applied mathematics and statistics education;
c) To integrate computing literacy throughout students' studies because computers are indispensable tools for solving mathematical and statistical problems;
d) To foster in students an eagerness to solve scientific, industrial and commercial problems of concern to the local community and beyond, and
e) To teach students how to formulate suitable mathematical and statistical models for solving these problems.
 
The concentrations are designed to deliver some more specific objectives.
 
Concentration in Operations Research
a) 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 Scientific Computing
a) To give students a thorough knowledge of numerical methods, numerical analysis, and modelling for practical computing in a broad range of disciplines and applications;
b) To provide students rigorous research and analytical skills to evaluate research techniques, methodologies, and to interpret results in their own field and research.
 
Concentration in Quantitative Data Analysis
a) To strength students' ability in quantitative analysis and in making statistically sound interpretations, based on the solid knowledge in mathematics and statistics;
b) 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.
 
The structure of the curriculum is as follows:
 
I) Major Courses 55-58 units
II) Project 3-6 units
III) General Education 38 units
IV) Free Electives# 30 units
    ───────
  129 units
 
# Students may take additional GE courses in any categories to fulfill the “Free Electives” requirement but only a maximum of 6 units will be counted towards the fulfillment of the “Free 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:
a) Operations Research;
b) Scientific Computing;
c) Quantitative Data Analysis.

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.

 
Requirements
 
I. Major Courses 55-58 units
  Major Required Courses (46 units)  
  BIOL 1005 Introduction to Biology 3 units
  CHEM 1005 Introduction to Chemistry 3 units
  COMP 1005 Essence of Computing 3 units
  MATH 1005 Calculus 3 units
  Or      
  MATH 1006 Advanced Calculus I 3 units
  MATH 2205 Multivariate Calculus 3 units
  MATH 2206 Probability & Statistics 3 units
  MATH 2207 Linear Algebra 3 units
  MATH 2215 Mathematical Analysis 3 units
  Or      
  MATH 2216 Statistical Methods & Theory 3 units
  MATH 2217 Advanced Calculus II 3 units
  MATH 3205 Linear & Integer Programming 3 units
  MATH 3206 Numerical Methods I 3 units
  MATH 3405 Ordinary Differential Equations 3 units
  MATH 3805 Regression Analysis 3 units
  MATH 3806 Multivariate Statistical Methods 3 units
  PHYS 1005 Introduction to Physics & Energy Science 3 units
  SCIE 1005 Integrated Science Laboratory 1 unit
         
  Major Elective Courses (9-12 units)  
  At least one Level IV Course  
  MATH 3406 Abstract Algebra 3 units
  MATH 3407^ Advanced Linear Algebra 3 units
  MATH 3415^ Vector Calculus 3 units
  MATH 3416^# Complex Analysis 3 units
  MATH 3417 Game Theory 3 units
  MATH 3425* Graph Theory 3 units
  MATH 3426 Number Theory 3 units
  MATH 3427^*# Real Analysis 3 units
  MATH 3605^*# Numerical Methods II 3 units
  MATH 3606^ Partial Differential Equations 3 units
  MATH 3615^ Introduction to Imaging Science 3 units
  MATH 3616^ Numerical Methods for Differential Equations 3 units
  MATH 3625^* Advanced Numerical Analysis 3 units
  MATH 3807* Simulation 3 units
  MATH 3815# Statistical Design & Analysis of Experiments 3 units
  MATH 3816# Statistical Analysis of Sample Surveys 3 units
  MATH 3817* Dynamic Programming & Inventory Models 3 units
  MATH 3826*# Markov Chain & Queuing Theory 3 units
  MATH 3827* Network Models 3 units
  MATH 3836*# Data Mining 3 units
  MATH 3837 Actuarial Mathematics 3 units
  MATH 4205# Topics in Probability Theory and Stochastic Processes 3 units
  MATH 4206 Financial Derivatives 3 units
  MATH 4207 Computational Finance 3 units
  MATH 4216 Mathematical Finance 3 units
  MATH 4406 Differential Geometry 3 units
  MATH 4416 Combinatorics 3 units
  MATH 4417 Topology 3 units
  MATH 4465 Special Topics in Mathematics I 3 units
  MATH 4466 Special Topics in Mathematics II 3 units
  MATH 4467 Special Topics in Mathematics III 3 units
  MATH 4606^ Functional Analysis 3 units
  MATH 4615^*# Introduction to Numerical Linear Algebra 3 units
  MATH 4665^ Special Topics in Applied Mathematics I 3 units
  MATH 4666^ Special Topics in Applied Mathematics II 3 units
  MATH 4667^ Special Topics in Applied Mathematics III 3 units
  MATH 4805# Applied Nonparametric Statitstics 3 units
  MATH 4807# Categorical Data Analysis 3 units
  MATH 4815*^ Interior Point Methods for Optimization 3 units
  MATH 4816*^ Optimization Theory & Techniques 3 units
  MATH 4817^# Stochastic Models 3 units
  MATH 4825# Survival Analysis 3 units
  MATH 4826*# Time Series and Forecasting 3 units
  MATH 4827 Actuarial Mathematics II 3 units
  MATH 4835 Property & Casualty Insurance 3 units
  MATH 4836 Theory of Pension 3 units
  MATH 4837 Risk & Portfolio Management 3 units
  MATH 4865* Special Topics in Operations Research I 3 units
  MATH 4866* Special Topics in Operations Research II 3 units
  MATH 4867* Special Topics in Operations Research III 3 units
  MATH 4875# Special Topics in Statistics I 3 units
  MATH 4876# Special Topics in Statistics II 3 units
  MATH 4877# Special Topics in Statistics III 3 units
         
II. Project 3-6 units
  MATH 4998 Mathematical Science Project I 3 units
  MATH 4999 Mathematical Science Project II 3 units
         
III. Genaral Education 38 units
         
IV. Free Electives 30 units
        ───────
        129 units
 
* Courses for the Operations Research concentration.
^ Courses for the Scientific Computing concentration.
# Courses for the Quantitative Data Analysis concentration.
 
 
 
©2016 Hong Kong Baptist University
Source: Calendar/Bulletin 2016-2017
Last modified: July 2016