Fundamentals of Business Analytics

Degree programs: MSc Business Analytics and Data Science, MSc Logistics & SCM

This module provides an introduction to descriptive, predictive, and prescriptive analytics in the context of business decision-making. Students will learn about various analytical techniques and models used in business, such as linear programming, integer programming, and network flow modelling. The module emphasizes the application of analytics to solve real-world business problems and optimize decision-making processes. Through case studies and interactive exercises, students will gain practical skills in analyzing complex business datasets and extracting meaningful insights. They will learn to apply linear programming techniques to optimize resource allocation and solve business optimization problems. By the end of the module, students will possess the necessary knowledge and skills to support data-driven decision-making, formulate and solve business problems, and provide actionable insights to enhance organizational performance.

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