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Analytics and Operations

Analytics and Operations is a group within the Analytics, Marketing and Operations department.

Our academics develop rigorous analytical methods to support better decisions in complex business and societal systems. They work at the frontier of optimisation, dynamic programming and machine learning, while addressing major application areas, including revenue management, pricing, supply chains, transport, health and energy. Through research, teaching and engagement with industry, we equip organisations and students to use data to improve performance.

Research impact areas

In-game monetisation strategy

Pay-to-win add-ons can benefit players as well as developers. But the conditions matter enormously. Our research gives developers and regulators a clear framework.

Data pattern recognition at scale

Our algorithms solve complex data problems with up to 1,000 variables to within 3% of the best possible answer in minutes.

Health insurance regulation

The 2020 CHRONIC Care Act may be making the problem it was designed to fix worse. We have put together the first formal analysis of its effects on insurer behaviour and patient enrolment.

Emerging technologies and AI

How data science can boost your chances of finding a date

Online dating can be frustrating and time-consuming, but not anymore. We’ve developed new algorithms that make finding your perfect match easier and more enjoyable. Here’s how we did it.

Upcoming events

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