Ph.D in Decision Sciences
A 4 year full time and part time doctoral programme in decision sciences that builds deep quantitative expertise to study and improve decision making in organisations.
Ph.D in decision sciences overview
This program is an interdisciplinary specialisation that draws on statistics, machine learning, decision theory, game theory and operations research to study how individuals and organisations make decisions. It aims to produce academics who are rigorously trained in mathematical and technical skills so they can tackle complex business problems in domains. Students experience:
Build a rigorous quantitative toolkit
through work in statistics, machine learning, decision theory, game theory and operations research to analyse complex business decisions.
Work across key business domains
by modelling mathematically difficult problems in economics, finance, marketing and operations management, tying theoretical methods to organisational decision situations.
Leverage superior research facilities
including the supercomputer laboratory, datasets and industry connections to run computational experiments and data intensive studies that inform quality academic publications.
Prepare for academic career
by serving as a teaching assistant in undergraduate and masters courses, learning delivery while building a pipeline of peer reviewed research.
FAQs
Decision Sciences focuses on quantitative decision making rather than on a single functional area. Scholars work with statistics, machine learning, decision theory, game theory and operations research to study decisions across multiple business domains, positioning them as specialists in analytical and model driven research.
The programme is ideal for applicants with a strong interest in quantitative methods and business decision making, who also meet the School of Management’s requirement of a business related master’s degree and solid academic performance, and are motivated to pursue research led academic careers.
Access to a supercomputer laboratory, interesting datasets, industry connections and a structured School of Management Ph.D framework gives Decision Sciences scholars both the tools and environment needed to work on complex, data driven decision problems and build a strong research profile.The programme is designed to train tenure-track faculty by combining rigorous coursework, strong research mentoring and opportunities to publish in reputed peer-reviewed journals in information systems and digital transformation.
