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University of Auckland
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Postgraduate Diploma in Operations Research and Analytics

This course is available

On-Campus

Level of Study

Postgraduate Certificate or Diploma

Duration

1 year

Next start date

Expected Feb 2023

Campus

University of Auckland

Summary

Develop practical skills in Operations Research and Analytics to pursue an increasingly important field in industry.

Programme overview

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.

Programme structure

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.

Where could this programme take you?

The PGDipOR supplements your undergraduate background with the right skills and theoretical foundations careers that demand continuous improvement through computational mathematics and data science.

Jobs related to this programme

Business analyst

Data scientist

Energy modelling analyst

Software developer

Entry criteria

Taught 120 points

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.

IELTS (Academic): Overall score of 6.5 and no bands less than 6.0.; Internet-based TOEFL (iBT): Overall score of 90 and written score of 21; Paper-based TOEFL: Overall score of 68 and a writing score of 21; Cambridge English: Advanced (CAE) or Cambridge English Proficiency (CPE): Overall score of 176 and no bands below 169; Pearson Test of English (PTE) Academic: Overall score of 58 and no PTE Communicative score below 50; Foundation Certificate in English for Academic Purposes (FCertEAP): Grade of B-; Michigan English Language Assessment Battery (MELAB): 85.

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