Postgraduate Diploma in Operations Research and Analytics

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.

The PGDipORAn is a 120-point taught programme, and you are required to complete all the following.

At least four of the following:

• ENGSCI760 Algorithms for Optimisation
• ENGSCI761 Integer and Multi-objective Optimisation
• ENGSCI762 Scheduling and Optimisation in Decision Making
• ENGSCI763 Advanced Simulation and Stochastic Optimisation
• ENGSCI765 Studies in Operations Research I
• ENGSCI768 Advanced Operations Research and Analytics
• STATS720 Stochastic Processes
• STATS723 Stochastic Methods in Finance
• STATS724 Operations Research
• STATS783 Simulation and Monte Carlo Methods

At least three of the following:

• COMPSCI753 Uncertainty in Data
• COMPSCI760 Machine Learning and Data Mining
• COMPSCI761/367 Artificial Intelligence
• COMSCI762 Advanced Machine Learning
• ENGSCI712 Computational Algorithms for Signal Processing
• ENGSCI755 Decision Making in Engineering
• OPSMGT766 Fundamentals of Supply Chain Coordination
• SOFTENG753 Probabilistic Machine Learning
• STATS726 Time Series
• STATS731 Bayesian Inference
• STATS763 Advanced Regression Methodology
• STATS769 Data Science Practice

And up to one approved 600 or 700-level course offered by the University of Auckland.