Year of Study:	3-4
Credit Units:	3
Duration:	45hours
Prerequisites:	AMS1001 Introduction to Linear Algebra and Calculus, AMS1302 Probability and Statistical Theory, AIN2740 Computing for Statistical Analysis or with the Module Coordinator’s permission and upon endorsement of the relevant Head

This module introduces the elements of predictive analytics. Topics covered basics of
statistical learning, univariate and multivariate regression analysis, and time series analysis.
Computing software will also be used for implementations. Students will apply the elements
of predictive analysis to business problems.

Upon completion of this module, students should be able to:

                                                                                                                  Weighting
(if applicable)

a. understand the concepts of statistical learning;                                         10%

b. apply the statistical inference of the univariate and multivariate                45%
regression analysis and model selections;

c. understand principles of time series and apply time series analysis          20%
techniques; and

d. formulate business problems, analyse data with regression and time       25%
series techniques, and develop predictive analytics solutions in a
scientific manner.

Total: 100%