Bachelor of Science with Honours in Statistics and Decision Science (through Pathway 1)

Home Admissions Programme Information Bachelor of Science with Honours in Statistics and Decision Science (through Pathway 1)

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Bachelor of Science with Honours in Statistics and Decision Science (through Pathway 1)
Programme description
Programme requirements
Related programmes
Enquiries

Programme description

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

Programme-specific entry requirement:

A recognized Higher Diploma or Associate Degree (or equivalent) major related to mathematical and statistical studies from a local tertiary institution recognized by the University for the purpose.


Students pursuing this programme must successfully complete 80 credits as follows:
(a) 40 credits from the following courses, of which 20 credits should be from Higher level courses MATH S350 and MATH S346.

Course code
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code for details)

Course title Credits Level
MATH S215 Linear Algebra 5 Middle
MATH S221 Mathematical Methods 10 Middle
MATH S249 Practical Modern Statistics 10 Middle
MATH S280 Statistical Methods for Decision Analysis 10 Middle
MATH S346 Linear Statistical Modelling 10 Higher
MATH S350 Applied Probability Models for Decision Making 10 Higher
STAT S242 Statistics in Society 10 Middle
(b) 15 credits from courses:

Course code
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code for details)

Course title Credits Level
MATH S365 Graphs, Networks and Design 10 Higher
MATH S373 Optimization Methods in Decision Making 10 Higher
MATH S390 Quantitative Models for Financial Risk 5 Higher
SCI S330 Scientific Research Methods 5 Higher
STAT S347 Mathematical Statistics 10 Higher
(c) 10 credits from courses:

Course code
(Click the course
code for details)

Course title Credits Level
ECON A305 Money and Banking 10 Higher
ECON A314  Econometrics and Forecasting 5 Higher
ECON A316 International Finance 5 Higher
ENVR S335 Environmental Control, Monitoring and Modeling 10 Higher
FIN B386 Financial Decision Making 5 Higher
MATH S333 Advanced Mathematical Methods 5 Higher
(d) 15 credits from the following courses which have not taken to fulfill (a) to (c) above.

Course code
(Click the course
code for details)

Course title Credits Level
ACT B211 Introduction to Accounting I 5 Middle
ACT B212 Introduction to Accounting II 5 Middle
COMP S201 Computing Fundamentals with Java 10 Middle
ECON A231 Introduction to Microeconomics 5 Middle
ECON A232 Introduction to Macroeconomics 5 Middle
ENVR S237 Environmental Control and Public Health 10 Middle
FIN B280 Introduction to Financial Management 5 Middle
MATH S215 Linear Algebra 5 Middle
MATH S216 Mathematical Analysis 5 Middle
MATH S221 Mathematical Methods 10 Middle
MATH S249 Practical Modern Statistics 10 Middle
MATH S280 Statistical Methods for Decision Analysis 10 Middle
STAT S242 Statistics in Society 10 Middle
ECON A305 Money and Banking 10 Higher
ECON A314  Econometrics and Forecasting 5 Higher
ECON A316 International Finance 5 Higher
ENVR S335 Environmental Control, Monitoring and Modeling 10 Higher
FIN B386 Financial Decision Making 5 Higher
MATH S365 Graphs, Networks and Design 10 Higher
MATH S373 Optimization Methods in Decision Making 10 Higher
MATH S390 Quantitative Models for Financial Risk 5 Higher
SCI S330 Scientific Research Methods 5 Higher
MATH S333 Advanced Mathematical Methods 5 Higher
STAT S347 Mathematical Statistics 10 Higher

Students are required to complete 80 credits but they may opt to graduate with the Bachelor of Science in Statistics and Decision Science [BSCSDS1] (40 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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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)

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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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