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Business Analytics and Decision-Making


  • Credit value: 15 credits at Level 5
  • Convenor: Abdulrahman Al-Surmi
  • Assessment: a 3500-word report (100%)

Module description

Business analytics refers to the way in which enterprises such as global business, non-profit organisations and governments utilise data to obtain insights for their decision-making. This module introduces the fundamental concepts of business analytics and teaches descriptive statistics, modelling, forecasting and prescriptive analytics for decision making. Business cases will also be discussed to help contextualise the application of theoretical business analytics models.

Indicative module syllabus

  • Data types and presenting data
  • Tabulating data
  • Descriptive statistics
  • Data-driven decision-making
  • Simulations, e.g. Monte Carlo
  • Time series/forecasting
  • Clustering
  • Text mining

Learning objectives

By the end of this module, you will be able to:

  • understand and evaluate the role of business analytics
  • apply business analytical methods to business scenarios
  • analyse and interpret the outputs of forecasting results
  • propose solutions to address business scenarios and make decisions by applying business analytical techniques.