Teaching and assessment for Business Analytics and Artificial Intelligence for Business MSc

During this module you will meet other students from different courses that share common components. This module will prepare you to get the most out of your studies and further your career after graduation in the world of business.

You will learn how to communicate data effectively, using theories and practical data visualisation knowledge to help you in the world of business. Visualisation is essential for showcasing data and expressing a specific story to your audience. Managers employ various methods to communicate numerical data and information effectively.

You will write a report based upon the professional needs of business, as if you were a business analyst. You will select a theme and investigate independently. This will require undertaking a critical review of the literature applying concepts learned in other modules to complete your report. 

Students will develop their academic English while working with material from their core business modules.

This is an English support module for international business students.

Learn how to use the project knowledge principles for managing complex projects.

Combine industry practice with academic theory. It will be most relevant if you want to learn more about the intersection of finance and technology. You can pursue roles in data science, quantitative finance, or fintech.

It introduces machine learning techniques tailored for financial decision-making. This bridges theory with real-world applications.