Compulsory modules
Applied AI for Business Analytics (15 credits)
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).
Machine Learning for Business (15 credits)
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.
Operations Analytics (15 credits)
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.
Policy and Strategy Analytics (15 credits)
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.