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Analytics & Operations

Start date:
Duration:
Five to six years
Application deadline:
Applications are now closed
Fee:
Fully funded
Location:
London, UK

Conduct research and provide insight into high-technology industries

Within the field of Operations Management, students and faculty study the design and management of production and business processes across the manufacturing and services sectors. Doctoral students benefit from the multidisciplinary nature of the Operations Management Department through collaboration with Imperial’s other Departments such as Computing, Engineering and Mathematics, which provides a rich research community. 

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. 

data observatory

Research centres and partnerships

The Business School is home to several research centres and institutes, offering a diverse range of activities that bring together academics and specialists.

Imperial Business Analytics

Focussing on how analytics, data, and artificial intelligence will impact 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

Concentrating 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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Discover our research centres

Teaching experience

PhD students on the Graduate Teaching Assistant (GTA) scholarship will undertake 150 hours of teaching assistant duties from year three of the programme. There will be opportunities to teach on our analytics and big data modules on programmes such as MSc Business Analytics & AI and our MBA suite. 

Doctoral Theses in Operations Management

Name

Thesis title

Supervisor

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

Hanzhao Wang

Artificial Intelligence in Operations Management: AI-Driven Techniques for Decision Making

Professor Kalyan Talluri

Aras Selvi

Models and Algorithms for Safeguarded Data-Driven Decision Making

Professor Wolfram Wiesemann

Zhengchao Wang

Decision Making under Uncertainty: Randomization, Online Learning, and Applications

Professor Wolfram Wiesemann and Dr Heikki Peura

Narges Mohammadi

From One-size-fits-all to Tailored Care: Navigating Trade-offs in Efficiency, Equity, and Interpretability in Healthcare Delivery

Dr Reza Skandari and Dr Anand Shah

Meet your faculty

Our PhD programme provides close collaboration between leading Analytics & Operations faculty and doctoral students, developing your research interests and providing continuous support and guidance throughout the programme.  

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Gah-Yi Ban

Gah-Yi Ban

Associate Professor of Analytics and Operations - Academic Director, MSc Business Analytics & AI
Gah-Yi's Imperial Profile
Xiaocheng Li

Xiaocheng Li

Assistant Professor (Analytics, Marketing & Operations)
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