The programme aims to provide university-level training to enable students to develop an understanding on statistical data analysis; quantitative skills; and mathematical techniques for business and investment analysis, quantitative survey and research, financial management and analysis. Graduates of this programme will have the competence to take up jobs in bank, financial and business analysis, marketing research, statistical service agencies, government and education sectors. This program provides with a series of training in using quantitative software including SAS and SPSS.
Length of Study
Top-up BSc(Hons) degree in Statistical Analysis and Data Science completes in 2-years full-time. This Top-up programme also offers 9 months Early Exit option to graduates with an Ordinary Degree in Statistical Analysis and Data Science.
Students have the option of an early exit at Ordinary Degree in Statistical Analysis and Data Science on completion of courses at Year-3 worth 40 credits within about 9 months (two terms of study). In addition to the Ordinary Degree, students may choose to complete another 40 credits to obtain an Honours Degree within about 20 months (4 terms of study).
Year 3 students must complete the requirements listed in the following table:
|Core||MATH S201F||Finite Mathematics for Business|
|ENGL S250F||English Writing for Workplace Communication|
|STAT S310F||Statistical Methods for Investment (CEF)|
|STAT S311F||Time Series Analysis with Applications (CEF)|
|STAT S312F||Design and Analysis of Experiments|
|STAT S314F||Statistical Methods for Economics and Finance|
|STAT S413F||Multivariate Statistical Analysis for Data science|
|Elective||STAT S330F||Quantitative Research Methods|
|COMP S202F||Java Programming Fundamentals|
|STATS251F||Statistical Analysis for Testing & Certification|
Year 4 students must complete the requirements listed in the following table:
|Core||STAT S315F||Applied Probability Models for Investment (CEF)|
|STAT S318F||Statistical Methods for Data Mining|
|STAT S410F||Quantitative Research Project|
|STAT S411F||Statistical Computing Project|
|STAT S414F||Database Management|
|STAT S415F||Big Data Analytics|
(2 out of 4)
|STAT S316F||Decision Analysis|
|STAT S319F||Credit Risk Analysis|
|MATH S390F||Quantitative Models for Financial Risk (CEF)|
|MATH S391F||Mathematical Methods for Finance|
*CEF means 'Continuing Education Fund' approved course.