Course summary

For 2026 entry, our MSc Business Analytics has been reviewed and relaunched as MSc Business Analytics & Artificial Intelligence. You’ll learn how to gain insights from large data sets using Artificial Intelligence (AI), statistical methods, optimisation and machine learning – and apply them to business challenges. This course covers cutting-edge and industry standard analytical techniques, including visualisation (in Tableau), machine learning, statistics and optimisation. Gain a cross-disciplinary training in business models, quantitative methods and data science, and prepare for a future career in an ever-changing business world. Course overview Ranked 3rd in the UK and 17th in the world in the QS University Rankings 2025 for MSc Business Analytics, the course features a broad range of theory and applications in analytics. The course offers you the opportunity to gain in-depth theoretical and applied knowledge of business analytics, and to provide insights on how to analyse business problems and solve them using a variety of operational research, statistics and machine learning techniques. You will also gain a cross-disciplinary training in business models, quantitative methods and data science by covering descriptive, predictive and prescriptive analytics, and be prepared for working in complex data-driven environments through building up quantitative consultancy skills and developing programming skills. You will also be guided in optionally obtaining certification as Associate Certified Analytics Professional. This globally recognised certification is offered by the INFORMS (USA) and The OR Society (UK), and the required knowledge to pass the certification exam is closely aligned with the core content of this course. You will cover a balance of descriptive, predictive, and prescriptive analytics, involving visualisation (Tableau), forecasting and data mining techniques, and optimisation. Skills from this degree

• Learn how to gain business insights from large data sets through a range of cutting-edge techniques

• Cover a diverse set of descriptive, predictive, and prescriptive analytics modules, aligned with industry trends

• Continue developing your programming skills in SQL, R, and Python

• Prepare to step directly into business by conducting an external consultancy project with a real client or putting your learnings into practice with the applied Business in Practice module

• Develop your industry acumen by accessing our CareersPlus service with specialist careers coaches.