COURSE CURRICULUM

The MSc in Business Data Analytics includes a structured set of compulsory modules designed to develop advanced analytical, technical and problem-solving skills for practical business decision making. Artificial Intelligence and Machine Learning introduces core AI concepts, intelligent systems and machine learning techniques such as neural networks, clustering and regression, alongside ethical considerations and real industry applications. Business Analytics and Management focuses on research strategies, data collection, statistical analysis and the use of R software to produce evidence-based recommendations and communicate results effectively. Business Analytics and Optimisation covers prescriptive analytics and optimisation methods including linear programming, simulations, decision trees and scenario modelling, using tools such as Excel and Python to solve real business challenges in marketing, finance and operations. Descriptive Analytics teaches how to acquire, clean and manage data, apply descriptive statistics and data mining, and use data visualisation to communicate insights. Predictive Analytics develops the ability to structure predictive research, apply methods such as time-series analysis, neural networks and cluster modelling, and assess model validity and uncertainty. Together, these modules ensure students can manage high-quality data, build robust analytical models and apply quantitative methods to improve business strategy, performance and innovation across multiple industries.