Programme Aim and Objective

1. To offer balanced training in statistics, decision analysis and the latest computing technology.

2. To nurture a solid foundation in problem solving skills so as to tackle planning and decision-making problems with a special relevance to business applications.

3. To provide in-depth training in selected topics in statistics, decision analysis, computing and business.

This programme is particularly suitable for graduates of Higher Diploma or Associate Degree who work in the financial, computing, statistics-related industries, or those who wish to enhance their career prospects with an honours degree.

Programme Structure

Stage One Subjects:

Calculus; Linear Algebra; Inferential Statistics; Statistical Data Analysis; Accounting for Decision Making / Business Accounting; Principles of Programming; Discrete Structures.
Students take compulsory subjects in mathematics, statistics, business/finance and computing that form the essential foundation for the more specialised curriculum in later stages of study.

Stage Two Subjects:
Survey Sampling; Applied Statistical Methods; Operations Research Methods; Finance; Data Structures and Algorithms; Foundations of Database Systems; Computer Communications Networks.
In addition to studying subjects in statistics and computing, students are introduced to concepts and contemporary practices in finance.

Final Stage Subjects:
Compulsory Subjects: Case Study I; Decision Analysis; Simulation.

Elective Subjects:
Applied Time Series Analysis; Multivariate Statistical Methods; Optimization Methods; Econometrics; Optimal Control with Management Science Applications; Financial Modelling; Graphs and Networks, Scheduling; Applied Probability Models; Introduction to Internet Computing; Computer Graphics; Operating Systems & System Programming; Data Warehousing and Data Mining Techniques in Business and Commerce; E-commerce; Further Calculus; Statistical Inference; Caes Study II.
Students will learn more advanced quantitative techniques and they also have the option of pursuing four elective subjects.

Entrance Requirement

A Higher Diploma or an Associate Degree in Science, Engineering Computing/Information Technology or a Business Discipline from PolyU or equivalent

Holders of the following qualifications may be granted credit transfer:

• A Higher Diploma in Mathematics, Statistics and Computing or Statistics and Computing for Business from PolyU
• An Associate Degree in Statistics and Computing for Business from HKCC
• A Post-experience Diploma/Associateship in Applied Statistics from PolyU
• A Higher Diploma in Applied Statistics and Computing from the Hong Kong Institute of Vocational Education (IVE)

Career Prospect

Suited for a variety of jobs in the field of statistics and computing.

Curriculum

Curriculum 2009/10

Syllabus

Syllabus 2009/10

Subjects

Timetable

Additional Information

Other Information

Graduates with good academic results may be granted exemptions for certain subjects of Graduate Diploma Examination of The Hong Kong Statistical Society.

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