Skip to main content

Operations Analytics


  • Credit value: 15 credits at Level 5
  • Convenor: to be confirmed
  • Assessment: a 3500-word report (100%)

Module description

The field of operations management has become increasingly important in recent years, as businesses face intense pressure to improve operational efficiency and reduce costs while maintaining high levels of customer service. Operations analytics is a natural extension of this field, as it focuses on the application of data analytics and modelling techniques to improve operational decision-making and drive continuous improvement.

In this module you will learn how to apply analytical tools and techniques to solve complex operational problems in various industries.

Indicative syllabus

  • Operations strategy
  • Business and operational planning (e.g. formulating operational and business problems as linear programs)
  • Optimisation
  • Performance analysis and evaluation
  • Decision-making algorithms under uncertainty

Learning objectives

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

  • understand the role and value of operations analytics in business decision-making
  • analyse and interpret data related to operations management
  • identify opportunities for process improvement and optimisation
  • apply mathematical and statistical models to solve complex operational problems
  • plan, carry out and evaluate a quantitative analysis of real-world operations planning problems.