Analytics & Operations research area

Choose start date:

Start date:
September 2025

Duration:
Five to six years

Deadline:
2 December 2024

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.

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.

MP Helen Whately being shown around Data Science Institute at Imperial

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.

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 and our MBA suite.

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