The University of Auckland is New?Zealand’s largest and most internationally recognised university, located in Auckland, a dynamic and multicultural city with excellent student support services. The university welcomes thousands of international students each year and provides comprehensive academic support, wellbeing services, career guidance, English?language support and visa assistance. Its strong engineering and analytics programmes are closely aligned with industry needs and global research trends, making graduates competitive in data?driven job markets.

 

Why Study Postgraduate Diploma in Operations Research and Analytics?

The Postgraduate Diploma in Operations Research and Analytics (PGDipORAn) equips you with advanced analytical, optimisation and decision?science skills used in sectors such as finance, logistics, technology, supply chain, engineering, and consulting. It helps you:

• Gain practical and theoretical skills in operations research, machine learning, optimisation and statistical analytics.

• Expand your expertise across a wide range of quantitative disciplines regardless of your undergraduate background (e.g., engineering, computing, maths, economics).

• Prepare for technical roles and future postgraduate study, including progression to the Master of Operations Research and Analytics.

 

Subjects / Programme Structure

The PGDipORAn (120 points) combines core and elective courses from analytics, optimisation, statistics and computational methods.

Core Courses (Select at least four)

Examples of core analytics and optimisation topics include:

• ENGSCI 760 – Algorithms for Optimisation

• ENGSCI 761 – Integer and Multi?objective Optimisation

• ENGSCI 762 – Scheduling and Optimisation in Decision Making

• ENGSCI 763 – Advanced Simulation & Stochastic Optimisation

• ENGSCI 765 – Studies in Operations Research I

• ENGSCI 768 – Advanced Operations Research & Analytics

• STATS 720 – Stochastic Processes

• STATS 723 – Stochastic Methods in Finance

• STATS 724 – Operations Research

• STATS 783 – Simulation & Monte Carlo Methods

Elective/Complementary Courses (Select at least three)

Topics from computer science, data analytics and operations management include:

• COMPSCI 753 – Uncertainty in Data

• COMPSCI 760 – Machine Learning & Data Mining

• COMPSCI 761/367 – Artificial Intelligence

• COMPSCI 762 – Advanced Machine Learning

• ENGSCI 712 – Computational Algorithms for Signal Processing

• ENGSCI 755 – Decision Making in Engineering

• OPSMGT 766 – Fundamentals of Supply Chain Coordination

• SOFTENG 753 – Probabilistic Machine Learning

• STATS 726 – Time Series

• STATS 731 – Bayesian Inference

• STATS 763 – Advanced Regression Methodology

• STATS 769 – Data Science Practice

 

Career Outcomes

Graduates of this qualification develop strong quantitative and analytical skills for data?driven industries. Potential roles include:

• Business Analyst

• Data Scientist

• Energy Modelling Analyst

• Software Developer

 

Visa Requirements (International Students)

To study in New?Zealand, international students must obtain a Student Visa after receiving an offer of study. You will generally need:

• Confirmation of enrolment from the university
• Valid passport
• Proof of adequate funds for tuition and living expenses
• English proficiency evidence
• Health & travel insurance

 

Highlights – At a Glance

• Level?8 Postgraduate Diploma designed for analytical, optimisation and data skills in an operations research context.
• 120 points across core optimisation and elective data analytics courses.
• Strong foundation for careers in analytics, modelling and decision science.
• Location: City Campus, Auckland — multicultural environment with strong industry networks.
• Pathway to further study including the Master of Operations Research and Analytics.