Analytics & Operations

Analytics & Operations

Operations Management faculty and students are part of the Department of Analytics, Marketing and Operations. The department welcomes applicants from a wide variety of academic disciplines who are united by a desire to research and provide insight into high-technology industries.

Doctoral students can benefit from the multi-disciplinary nature of the Operations Management team through collaboration with Imperial’s other departments such as Computing, Engineering and Mathematics, which provides a rich research community. With its small intake, the programme provides a supportive environment, preparing students for academic careers in top Business Schools worldwide.

Research areas

The Operations Management theme studies the design and management of production and business processes across the manufacturing and services sectors.  The research interests of the Faculty are broad, with expertise in services, pricing, transportation, risk management, machine learning, revenue management, manufacturing, supply chain, health, energy, retail, digital transformation, the interface between operations management and marketing, decision-making under uncertainty, as well as stochastic programming and robust optimisation and computational finance.

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Research Centres and Partnerships

Due to the multi-disciplinary interests of the Operations Management area, faculty are engaged in a number of activities within the Schools Research Centres, specifically Imperial Business Analytics, which brings business-focused academics and data science specialists together for research in how business analytics, data, and artificial intelligence will change business and society.  Gandhi Centre for Inclusive Innovation, linking innovation and entrepreneurship in companies and institutions globally, through thought leadership, research, technology and next-generation innovation models. 

Health Economics & Policy Innovation, focussing on the incentives that drive productivity, innovation and health-related behaviours, and factors that determine the success of health policies designed and implemented by governments.

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Doctoral Theses in Operations Management

Name Thesis title Supervisor(s)
Esma Koca Product Release Strategies in the Digital Economy Professor Wolfram Wiesemann, Professor Tommaso Valletti
Shubhechyya Ghosal Capacitated Vehicle Routing Under Uncertainty Professor Wolfram Wiesemann

Practical Experience

Doctoral students in the department have the opportunity to teach on our analytics and big data modules on programmes such as MSc Business Analytics and our MBA suite.

Administrative label
Doctoral CTA AO