Maritime Business Analytics and Decision-Making

Catalog description

Credits 3. 3 Lecture Hours. Deep understanding of the nature of big data and business analytics; practical toolkit applicable to the Maritime and Logistics field on how to perform big data analysis; ways to generate business value from in-house and open big data sets for the purpose of increasing competitiveness in the global marketplace; provision of evidence to sustain managerial claims, applying an analytical process that covers all activities from problem formulation, including use of qualitative and quantitative models in decision-making, to results communication, and reflecting on and managing potential pitfalls. Prerequisite: Graduate classification or approval of instructor.