Aims and Fit of Module

This module provides students critical understanding for the applications of data science in Supply Chain Management (SCM). This module delivers the well recognized data analytic techniques in the context of SCM, which develop in-depth understanding of the impact of digitalization on SCM towards the present era of data and information. Also, this module incorporates the extensive learning of essentials of data science and the use of programming language to develop and analyze data based supply chain models.

Learning outcomes

This module provides students critical understanding for the applications of data science in Supply Chain Management (SCM). This module delivers the well recognized data analytic techniques in the context of SCM, which develop in-depth understanding of the impact of digitalization on SCM towards the present era of data and information. Also, this module incorporates the extensive learning of essentials of data science and the use of programming language to develop and analyze data based supply chain models.

Method of teaching and learning

A series of lectures and tutorials are pre-organized and delivered.

In the lectures, quantitative knowledge is mainly included, both from theoretical and practical perspectives. The tutorials are delivered in the computer lab, where students are led to deal with some practical or simulated SCM scenario and required to practice the techniques they learn by using software.

Both written and computerized exercises will be left for the students to strengthen their understanding of the knowledge and practice their skills. R software will be used as the main software platform.