There are no pre-requisites for this module to be added

The module aims at introducing you to the new possibilities opened up by the digital revolution and how these can be translated into the field of global logistics and management. You will be exposed to several data analytic techniques, supporting data analytics techniques with Artificial Intelligence (AI) as an assistant tool, including data cleaning, data visualisation, and dashboard report development (in Python) with a focus on application to global logistics and sustainability. You will learn the appropriate and ethical use of an AI analytical tool in the analytics process. More specifically the module will cover aspects such as:(i) Introduction to Data Analytics: understanding the big data landscape; (ii) Data Processing; (iii) Data Visualisation: telling a story; (iv) Analytical Techniques: Introduction to Descriptive, Predictive, Prescriptive; (v) Artificial Intelligence and AI as an assistant tool (vi) Simulation/Network Analysis; (vii) Practical Issues: Dashboard Report Development

Upon completion of this module you will be able to

LO1: Critically discuss relevant methods, tools, and techniques in data analytics with artificial intelligence in a business context.

LO2: Develop a critical understanding of the practical limitations of descriptive, predictive, prescriptive, and cognitive analytical techniques supporting with artificial intelligence.

LO3: Apply practical skills for data analytics in Python.

LO4: Critically reflect on the contribution of data analytics with artificial intelligence for different industry sectors.