This module introduces core concepts of data-driven decision-making, analytics frameworks, and AI applications in business. Students gain hands-on experience with tools like Excel, Python, and cloud platforms, while exploring ethical and legal aspects of data use. With practical skills in data wrangling, exploratory analysis, and analytics platforms, students are equipped to interpret and communicate insights that support real-world business decisions.

This module explores the integration of AI tools into business analytics, focusing on decision-making, automation, and ethical considerations. Students gain hands-on experience with AI-enhanced tools like ChatGPT, local LLMs, and cloud-based platforms. Topics include AI-driven analytics workflows, visualisation, data extraction, and compliance. The module prepares students to apply advanced AI techniques in business contexts, enabling smarter, faster, and more strategic decision-making.

This module equips students with advanced theoretical and practical skills of decision-making frameworks, tools and techniques. It blends theory with practice through teaching students approaches like optimisation, network analysis, multi-criteria decision-making, and predictive analytics. Students apply quantitative and qualitative methods to real-life business cases using a range of different software, while also exploring financial impacts and strategic frameworks. The module builds strong analytical, problem-solving, and communication skills essential for tackling complex business challenges.

This module explores how data analytics and digital technologies enhance supply chain performance. Students gain practical skills in big data, descriptive and diagnostic analytics, IoT, digital twins, and database design. Emphasis is placed on modelling, visualizations, cybersecurity, and AI tools to support strategic decision-making. Combining theory with hands-on learning, the module prepares students to manage complex logistics challenges using advanced supply chain analytical techniques.

This module explores how digital technologies and people analytics shape modern HRM practices. Students gain skills in data-driven decision-making, evidence-based HR, and the use of digital tools to improve collaboration, recruitment, performance, and organisational insight. With a strong emphasis on ethical practice, diversity, and real-world application, the module prepares future HR professionals to lead effectively in digital and hybrid working environments.

Delve into the important area of data analytics in marketing practice. You will learn to interpret analytics and use related software and tools to make evidence-based marketing decisions. The module explores how analytics supports various marketing functions and its relationship to business management. Practical aspects include analysing data sets and employing analytics techniques. By the end of the module, you will be fluent in marketing analytics, able to make informed marketing decisions and contribute to evidence-based marketing strategies.

This Dissertation gives you the chance to tailor your research project according to your interests gained throughout the taught element of your MSc programme. The dissertation is the pinnacle of the MSc course and allows you to build upon your knowledge gained in the previous taught modules, by carrying out research based on real-world business challenges that will prepare you for the complexities of entering the job market.