Business Analytics (Taught)

Our MSc in Business Analytics is designed to equip ambitious professionals with the skills and knowledge to thrive in today's data-centric business environment.

Our comprehensive programme meets the growing demand for analytical expertise across diverse industries, offering students a competitive advantage in their careers. In an era where data reigns supreme, extracting valuable insights from vast information is paramount. This programme focuses on the intersection of business knowledge, statistical analysis, and cutting-edge technology, preparing students to navigate this data-driven landscape effectively. Our modules combine core business management principles with the latest analytical techniques. Students will explore subjects such as data mining, predictive modelling, machine learning, data visualisation, and optimisation, gaining the skills to derive actionable insights and make informed decisions.

Led by accomplished academics and industry experts, our programme emphasises practical learning. Through hands-on projects, real-world case studies with leading organisations, students have ample opportunities to apply their analytical skills to solve complex business challenges. Our strong industry connections also provide valuable mentorship, and potential job prospects.

MSc Business Analytics graduates will possess a deep understanding of leveraging data for strategic decision-making, operational optimisation, and gaining a competitive edge. Equipped with technical expertise, business acumen, and analytical thinking, our alumni excel in roles such as data analysts, business intelligence managers, consultants, and strategic planners.

What you should know about this course

• Study at our beautiful Greenwich campus, a UNESCO World Heritage Site, situated in London.

• Get taught by experts with vast experience in business network analysis, business management and strategy.

• You’ll develop the essential critical thinking skills for professionals in the field.

• Critically evaluate the relevance and value of using data in decision-making processes.

• Look at the ethical implications and environmental impact of data collection, processing, and usage.