Compulsory modules

The aims of this module are:

  • Introduce the principles and applications of simulation in business and management.
  • Develop an understanding of simulation methodologies such as discrete event and Monte Carlo.
  • Understand the use of simulation tools for decision making in business and management.
  • Develop an understanding of risks assessment and analysis in business processes and decision making under risks.
  • Obtain experience with the use for simulation software.

The aims of this module are:

  • To provide students with an in-depth understanding of the principles of data analysis in the context of analytics and management science problems.
  • To enable students to develop numerical reasoning, analytical skills and competency to apply a range of statistical models to datasets and interpret their results.
  • To provide students with practical experience of analysing real world datasets using analytics software tools such as SAS or equivalent.
  • To provide a firm basis for the Customer Analytics module in semester 2.

The aims of this module are:

  • To provide an understanding of the techniques and tools used to model and support management decisions.
  • To develop skills in analysing and modelling management situations and in applying the models, methods and computer software to address the decision problems faced.
  • To develop the ability of interpreting and analysing solution results and computer software outputs in the business and management context.

The aims of this module are:

  • To understand various processes involved in big data analytics.
  • To understand and experience python and other programming approaches to big data.
  • To develop a critical and practical appreciation of activities and factors involved in organising big data analytics initiatives and projects.
  • To understand the skills and capabilities required for leading big data analytics applications.
  • To build the project management skills required for successful leadership of big data analytics initiatives and projects.

Compulsory modules

The aims of this module are to:

  • Introduce core AI concepts relevant to business analytics and digital transformation.
  • Equip students with hands on skills in applying machine learning, natural language processing, and generative AI to business cases.
  • Enable students to develop and evaluate AI driven solutions that improve business performance and decision making.
  • Enhance students understanding of responsible AI use, ethics, and governance in organisational settings.
  • Build confidence in using modern AI tools and platforms (e.g., Python based ML libraries and Microsoft Copilot).

The aims of this module are:

  • To cover a wide range of approaches to machine learning for a better understanding of enterprises, business and market, and enhanced business decision making.
  • To develop the ability to interpret analytical information with emphasis on the use of industry-leading software tools.
  • To develop skills in analysis and modelling of management situations and a sophisticated approach to evaluation of alternatives in complex scenarios.

The aims of this module are:

  • to introduce some common types of operations planning problems and their applications;
  • to develop skills in applying optimisation, simulation and other analytics techniques to model and solve these problems.

The aims of this module are:

  • Demonstrate an understanding of the role of analytics in informing strategy and policy in the public and private sectors.
  • Apply appropriate frameworks for policy and strategy analytics.
  • Develop skills in analytical methods for policy and strategy analysis.
  • Develop the ability to apply these skills to real world problems including external project work.

The aims of this module are:

  • To develop a working knowledge of the processes required for the conduct of analytics projects in applied or research contexts.
  • To give students the experience of executing an analytics project to tackle a practical or theoretical problem.
  • To integrate the learning from the taught Business Analytics programme into this problem solving context.