Machine Learning and AI in Business: Applications and Implications (804L1)

15 credits, Level 7 (Masters)

Spring teaching

On this module, you’ll explore the use and effects of Machine Learning (ML) and Artificial Intelligence (AI) in business practice.

You’ll learn to evaluate, apply and interpret ML models in real-world business contexts, including:

  • marketing
  • operations
  • strategic planning.

You’ll focus on the technical use and the ethical, legal and organisational considerations of using AI.

By the end of the module, you’ll be able to assess the impact of ML/AI tools on:

  • business performance
  • decision-making processes
  • organisational transformation
  • bridging the gap between data science innovation and strategic business application.

Teaching

50%: Lecture
50%: Practical (Workshop)

Assessment

30%: Coursework (Software exercise)
70%: Written assessment (Project)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 40 hours of contact time and about 110 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We鈥檙e planning to run these modules in the academic year 2026/27. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.

We鈥檒l make sure to let you know of any material changes to modules at the earliest opportunity.