Year of Entry
2018Application Deadline
Application ClosedMode of Study
Combined †Mode of Funding
Non-government-fundedIndicative Intake Target
80Minimum No. of Credits Required
30Class Schedule
Weekday eveningsNormal Study Period
Full-time: 1 year; Part-time: 2 yearsMaximum Study Period
Full-time: 2.5 years;Part-time/Combined mode: 5 years
Mode of Processing
Applications are processed on a rolling basis. Review of applications will start before the deadline and continue until all places are filled. Early applications are therefore strongly encouraged.Programme Outlines
The programme offers a comprehensive coverage of quantitative methods (including courses on data-mining, marketing research, financial modeling and risk management) and adopts the point of view of business intelligence, drawing on practical experience and knowledge in the fields. The programme benefits from the use of relevant software packages to reinforce students’ understanding of the concepts, methods and processes introduced.
Applicants must:
- hold a recognised Bachelor’s degree with Honours, or equivalent. An undergraduate degree in Statistics is not a prerequisite.
Selection will be based on the candidate’s academic performance in previous studies, relevant working experience (if any), motivation and potential of the candidate and performance in the interview.
Applicants whose entrance qualification is obtained from an institution where the medium of instruction is not English should also fulfill the following minimum English proficiency requirement:
- TOEFL score of 550 (paper-based test) or 79 (internet-based test); or
- Overall band score of 6.5 in International English Language Testing System (IELTS); or
- Score 450 in the new College English Test (CET6) of Chinese mainland or a pass in the old CET-6 test; or
- Other equivalent qualifications
Core Course
- Statistical Methods I
- Statistical Methods II
Electives
Any 8 of the following courses:
- Business Survey Methods
- Business Analytics with Spreadsheet
- Contemporary Topics in Quantitative Analysis for Business
- Data Mining
- Forecasting Methods for Business (#)
- Quantitative Analysis Project
- Quantitative Methods
- Statistical Modelling in Economics and Finance
- Statistical Modelling in Marketing Engineering (#)
- Statistical Modelling in Risk Management (#)
- College of Business Elective (not more than two courses)
(#) CEF reimbursable courses
Use of statistical software to conduct data analysis is an integral part of the programme. Students will have access to the latest SAS statistical software including the Enterprise Miner (EM) used as a primary data mining tool by many business organizations in Hong Kong and elsewhere.
