Rapid technological change has created an increasing range of applications for Operations Research and Analytics. This programme meets industry needs by enabling students from a range of undergraduate backgrounds to gain the fundamental, practical skills needed to become versatile practitioners.

Core topics such as machine learning and artificial intelligence, operations research, optimisation under uncertainty, financial statistics, and time series analytics are covered, showing the direct influence of the field.

While the PGDipORan focuses purely on taught courses, students will additionally gain the right foundations to pursue further study in the research-based Master of Operations Research and Analytics.

You must have completed an undergraduate degree in a relevant subject from a recognised university (or similar institution).

A relevant subject may be analytics, artificial intelligence, computer science, data science, economics, engineering, information systems, information technology, machine learning, management science, mathematics, operations research, operations and supply chain management, software engineering, structural engineering, electrical engineering, statistics or technology.