Bachelor of Science in Mathematical Studies

School of Science and Technology Programmes Department of Electronic Engineering and Computer Science Bachelor of Science in Mathematical Studies
Bachelor of Science in Mathematical Studies
tri-brProgramme description
tri-brProgramme requirements
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Programme description

Mathematics, statistics and techniques for decision-making are professional and indispensable tools for many types of problems, and continue to enjoy rapid growth in areas of actuarial science, strategic planning, financial investments and operations research analysis. The degree programmes equip students with a strong undergraduate background in the areas of applied mathematical methods, statistics, data analysis, optimization, stochastic and deterministic modeling, and risk analysis. It prepares students for careers or for further study in many technical fields such as statistical analysis, management science, industrial engineering, biostatistics, strategic planning, financial analysis, education.

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Programme requirements

Students pursuing this programme must successfully complete at least 120 credits as follows:
(a)

20 credits from:

Course code
(Click the course
code for details)

Course titleCreditsLevel
MATH S121A Foundation in Pure Mathematics10Foundation
MATH S122A Foundation in Applied Mathematics10Foundation
(b)

70 credits of compulsory courses, of which at least 20 credits must be gained at Higher level including MATH S333 and MATH S390 from courses:

Course code
(Click the course
code for details)

Course titleCreditsLevel
COMP S258Computer Programming and Problem Solving10Middle
MATH S215Linear Algebra5Middle
MATH S216Mathematical Analysis5Middle
MATH S221Mathematical Methods10Middle
MATH S222Mathematical Models with Applications10Middle
MATH S280Statistical Methods for Decision Analysis10Middle
MATH S333Advanced Mathematical Methods5Higher
MATH S346*Linear Statistical Modelling10Higher
MATH S373*Optimization Methods for Decision Making10Higher
MATH S390Quantitative Models for Financial Risk5Higher
(c)

10 credits from courses:

Course code
(Click the course
code for details)

Course titleCreditsLevel
COMP S263Discrete Structures10Middle
MATH S346*Linear Statistical Modelling10Higher
MATH S350Applied Probability Models for Decision Making10Higher
MATH S365Graphs, Networks and Design10Higher
MATH S373*Optimization Methods for Decision Making10Higher
STAT S347*Mathematical Statistics10Higher
(d)Additional courses, as necessary, from any Foundation, Middle or Higher courses offered by the University, provided that, of the total 120 credits, no more than 40 are gained at Foundation level.

Notes: Courses marked with an asterisk (*) appear in several lists but can only be taken ONCE.

early_exit Students are required to complete 120 credits but they may opt to graduate with the Diploma in Applied Statistics [DAS] (60 credits) after completing the required number of credits and fulfilling the requirements of the programme regulations.

Professional recognition

The Hong Kong Statistical Society
 
The Hong Kong Statistical Society has granted accreditation to students of the Mathematics and Statistics Programmes of the School of Science and Technology to obtain the Society's Graduate Diploma, Higher Certificate, and Ordinary Certificate. Details are given below.
 
Ordinary Certificate:
 
Students are given accreditation for the Ordinary Certificate if they achieve a pass at grade 3/C+ or above in STAT S242 Statistics in Society and MATH S280 Statistical Methods for Decision Analysis.
 
Higher Certificate:
 
Students are given accreditation for the Higher Certificate if they fulfil either one of the following requirements:
 
(a)          Obtain a grade 3/C+ or above in STAT S242 Statistics in SocietyMATH S280 Statistical Methods for Decision AnalysisMATH S346 Linear Statistical Modelling and MATH S350 Applied Probability Models for Decision Making.
 
(b)          Obtain accreditation for the Hong Kong Statistical Society Ordinary Certificate, and also obtain a grade 3/C+ or above in MATH S346 Linear Statistical Modelling and MATH S350 Applied Probability Models for Decision Making.
 
Entire Graduate Diploma
 
Students are given accreditation for the entire Graduate Diploma if they have passed at grade 3/C+ or above in all six of the following courses: STAT S242 Statistics in SocietyMATH S280 Statistical Methods for Decision AnalysisMATH S249 Practical Modern StatisticsMATH S346 Linear Statistical ModellingMATH S350 Applied Probability Models for Decision MakingSTAT S347 Mathematical Statistics.
 
Individual modules of the Graduate Diploma
 
Students are given accreditation for individual modules of the Graduate Diploma if they have passed at grade 3/C+ or above in the following:
(a)          MATH S280 + MATH S350 accreditation for Module 1 of the Graduate Diploma.
(b)          MATH S249 + MATH S350 accreditation for Module 3 of the Graduate Diploma.
(c)          STAT S242 + MATH S346 accreditation for Module 4 of the Graduate Diploma.
(d)          Individuals who have obtained accreditation for Modules 1, 3 and 4 of the Hong Kong Statistical Society Graduate Diploma and passed STAT S347 at grade C+ or above will fulfill the accreditation requirement of the entire Graduate Diploma.
 
Remark 1: Students who have obtained accreditation for the entire Graduate Diploma are deemed to have fulfilled the requirements of Graduate Statistician membership of the Hong Kong Statistical Society.
 
Remark 2: Among discontinued courses, successful completion of MATH S242 is considered as completion of STAT S242; completion of MATH S245/MATH S246/MATH S248 is considered as completion of MATH S280; completion of MATH S343 is considered as completion of MATH S350; and completion of MATH S345 is considered as completion of MATH S346.
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Choosing the first courses to get started

Students with no credit exemption are recommended to begin with MATH S121 or MATH S122.


Related programmes

Master of Science in Quantitative Analysis and Computational Mathematics (60 credits)
Master of Science in Quantitative Analysis and Computational Mathematics (through Pathway 1) (40 credits)
Postgraduate Diploma in Quantitative Analysis and Computational Mathematics (40 credits)
Postgraduate Certificate in Quantitative Analysis (20 credits)
Postgraduate Certificate in Computational Mathematics (20 credits)
Bachelor of Science in Mathematical Studies (120 credits)
Bachelor of Science with Honours in Mathematical Studies (160 credits)
Bachelor of Science in Statistics and Decision Science (120 credits)
Bachelor of Science with Honours in Statistics and Decision Science (160 credits)
Diploma in Applied Statistics (60 credits)


Enquiries

For enquiries about the programmes, please contact:

Dr Tony Chan 陳滿棠博士

Tel: 2768 6867

Email: tmtchan@ouhk.edu.hk

School of Science & Technology website

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