MSc BUSINESS ANALYTICS

This module teaches key statistical and data modelling skills used in data-driven business decisions. You’ll learn how to analyse and clean data, run simulations, use optimisation techniques, and create clear data visualisations. The focus is on applying these methods in real business situations to find useful insights and support better decisions. You'll also look at what helps or hinders the use of data and information in business. Using popular data analysis tools, you’ll work on real-world problems through case studies and hands-on tasks. By the end of the module, you’ll be able to use data more effectively to improve business performance and efficiency.

Understanding Industry 4.0 is crucial for driving innovation and staying competitive in today's technological landscape. This module examines the transformative impact of digital technologies on modern businesses, exploring key innovations such as the Internet of Things (IoT), extended realities (XR) and the metaverse, big data analytics, cyber-physical systems, digital twins, and blockchain. These technologies enable enhanced automation, seamless connectivity, and data-driven decision-making across industries. Through a combination of theoretical insights and practical applications, this module equips students with the knowledge and skills to implement cutting-edge digital strategies, ensuring they remain at the forefront of technological advancements shaping the future of business.

This module looks at the important role Strategic Information Systems (SIS) play in modern organisations. You’ll learn how Information Systems (IS) and Information Technology (IT) support both everyday operations and long-term decision-making. The module explores common challenges businesses face and shows how well-designed systems can improve efficiency and give companies a competitive edge. You’ll also study how enterprise systems are managed, implemented, and improved. By the end of the module, you’ll have the skills to analyse and use technology to boost organisational performance and support strategic goals.

This module introduces the key skills needed to manage data and use AI and machine learning in business. You’ll get hands-on experience using popular programming tools and languages and explore the concept of Explainable AI, which helps make AI models more transparent and trustworthy. You’ll learn how to organise, store and access data, with a focus on data modelling, SQL, and important topics like data governance and GDPR. The module also shows how AI and machine learning can improve decision-making. By combining theory with real-world practice, this module prepares you to create smart, data-driven solutions using AI and machine learning.

Effective decision-making relies on the ability to present and interpret complex data clearly. This module focuses on data visualisation and storytelling, ensuring that students can communicate insights effectively in both tactical and strategic decision-making contexts. Learners will gain hands-on experience with advanced visualisation tools to explore, interpret, and present large datasets in an accessible and meaningful way. By mastering these tools, students will enhance their ability to convey data-driven insights, enabling organisations to make more informed, evidence-based decisions.

Effective leadership is crucial for navigating the complexities of technological advancements. This module explores how to adapt innovative leadership styles to guide organisations through the digital age, leveraging digital technologies to develop new business models, enhance stakeholder engagement, and drive innovation. It focuses on aligning AI with new organisational structures, fostering a culture of continuous learning and adaptability, and managing AI-driven projects using agile methodologies. The module will equip students with the skills to manage culturally diverse, global stakeholders, and co-located teams, preparing them to lead effectively in a rapidly evolving digital landscape

This independent study module follows on from the completion the Research Project Design module, whereby literature review and methodology for a programme specific research project has already been completed. Within this module, students will collect and analyse their data, report their findings, and make recommendations, thus drawing conclusions from their research whilst addressing their research aim, objectives and questions. This module emphasises critical thinking, analytical skills, and ethical research practices, preparing students for professional careers or further academic pursuits.

The research project offers students a valuable opportunity to apply their research and analytical skills in a chosen area of study that is directly relevant to their degree programme. This independent research project allows students to thoroughly explore a topic of their interest, fostering both academic and professional growth. Key components of the module include research philosophy, critical literature review, methodology, and ethical considerations. It provides a conceptual framework for identifying relevant resources, understanding their significance to specific topics, interpreting the research presented, and communicating findings in a professional and effective manner. Additionally, the module introduces students to essential research methods that will support and guide their primary research.