Data Science, AI & Machine Learning
Who would benefit from this module? The module is aimed at both individuals looking to acquire hands-on experience with machine learning techniques and looking to improve their coding skills. It provides an intuitive introduction to machine learning for managers or critical consumers of projects with machine learning components. Module structure ■ The module lasts for 17 weeks and culminates in an assessment ■ Module materials are organised into 10 lessons – each lasting one week ■ You can expect to spend around 11 hours studying per lesson ■ Lessons include reading materials, video interviews, discussion points, reflection activities ■ Each lesson includes hands on activity in R using the tidymodels framework ■ There are four wbsLive online sessions with your tutor. Faculty This module is led by Dr Caspar Kaiser (Assistant Professor, Behavioural Sciences Group, Warwick Business School).
overview This module covers the foundations of big data and machine learning. You will gain a complete introduction to machine learning for managers or critical consumers of projects with machine learning components. You will critically analyse machine learning techniques used to forecast the state of the economy, such as inflation and the risk of recession. You will also discuss the special ethical challenges which arise in banking, including issues related to data privacy associated with machine learning and AI. You will learn how to visualise data, and how to apply machine learning techniques for regression, classification, and clustering. We will move from the fundamentals of computer programming to implementing state-of-the-art neural networks. Through this module, you will gain hands-on experience to acquaint non-specialists with current machine learning techniques, using the R programming language.
Key benefits
The programme is crafted for busy professionals; you can keep up with work at your own pace and your own convenience.
Learn to think like a data scientist Explore data analytics and visualisation through machine learning techniques Hands on coding experience Gain practical experience in coding using RStudio, the industry standard for data analysis and visualisation Understand key issues and algorithms at an intuitive level Learn how machine learning works – both intuitively and technically Award Gain a Postgraduate Award upon successful completion
Tadiwanashe Muganyi MSc Global Central Banking & Financial Regulation, Graduate
Key information
The module will run between June 2026 and October 2026
This module features a two-week induction period
Watch the film
W wbs.ac.uk/go/ DataScience Module
wbs.ac.uk/go/banking
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Global Central Banking & Financial Regulation qualification
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