Develop advanced analytical, computational and strategic skills to support data-driven decision-making in complex organisations. MSc Business Analytics and Artificial Intelligence is designed for students who want to apply business analytics and AI to real organisational challenges, combining strong theoretical foundations with practical tools and applied project work. You will study the fundamental theories, approaches and analytical toolkit of data analytics, decision sciences, applied operational research and statistics. The course develops advanced expertise in machine learning, data analytics and strategic optimisation, helping you improve organisational performance, manage risk and translate analytical insight into strategic action. The programme has been reviewed and relaunched from September 2026 with an increased emphasis on AI for Business. You will benefit from teaching connected to the Centre for AI and Decision Sciences, with course content reflecting current developments in AI, machine learning and optimisation. You will apply your learning through real-life scenarios, case studies, individual research and team-based business consultancy projects. Course units include areas such as risk, performance and decision analysis, mathematical programming and optimisation, machine learning for business, applied statistics and business forecasting, Python programming for business analytics, and optional units including AI ethics, simulation and risk analysis, financial data analytics and digital strategy. Studying at Alliance Manchester Business School means joining one of the UK’s first two business schools and the UK’s largest campus-based business and management school. AMBS is ranked 4th in the UK and 23rd in the world for business analytics (QS Business Masters Rankings 2027).
We require a First or Upper Second class honours degree (2:1, with 60% average) from a UK university or the overseas equivalent. Your degree background must be in a quantitative subject such as mathematics, statistics, physics, engineering, computing, management science or economics, and we require you to demonstrate study of quantitative modules (e.g. maths, statistics, calculus) consistently throughout each year of your studies and achieve good grades. Study of programming is desirable, but mathematical-related modules are essential.
When assessing your academic record we take into account your grade average, position in class and the standing of the institution where you studied your qualification. We particularly welcome applicants from institutions of high ranking and repute.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 2 位 | 帝国理工学院Imperial College London | 1年 | 51000英镑/年 |