
Other Engineering
A course by
University of Auckland
Develop practical skills in Operations Research and Analytics for a versatile career in computational mathematics, data science, and related fields.
Interested in this course? Enquire now for Domestic & International pricing
Interested in this course? Enquire now for Domestic & International pricing

Graduates will acquire practical skills in operations research and analytics, including formulating and solving optimisation problems across a variety of contexts.

The Postgraduate Diploma in Operations Research and Analytics (PGDipORAn) at the University of Auckland is designed to meet the increasing demand for graduates skilled in computational mathematics, analytics, and operations optimisation. The programme focuses on practical and theoretical foundations through taught courses, covering topics such as operations research, machine learning, artificial intelligence, optimisation under uncertainty, scheduling, and financial statistics. The qualification sets a strong base for professional roles in analytics and further academic study.
What you need to know first



Other Engineering
A course by
University of Auckland
Develop practical skills in Operations Research and Analytics for a versatile career in computational mathematics, data science, and related fields.
Interested in this course? Enquire now for Domestic & International pricing
Interested in this course? Enquire now for Domestic & International pricing

Graduates will acquire practical skills in operations research and analytics, including formulating and solving optimisation problems across a variety of contexts.

The Postgraduate Diploma in Operations Research and Analytics (PGDipORAn) at the University of Auckland is designed to meet the increasing demand for graduates skilled in computational mathematics, analytics, and operations optimisation. The programme focuses on practical and theoretical foundations through taught courses, covering topics such as operations research, machine learning, artificial intelligence, optimisation under uncertainty, scheduling, and financial statistics. The qualification sets a strong base for professional roles in analytics and further academic study.
What you need to know first


In-person study
Face-to-face learning in a physical classroom setting
City, Auckland
It will take a total of 1 year
Gain proficiency in machine learning, artificial intelligence, and computational methods relevant to data-driven decision making.

Develop capabilities to model, analyse, and interpret data subject to uncertainty, using techniques from statistics, simulation, and optimisation.
Undergraduate degree in a relevant subject area.
Meet University of Auckland postgraduate entry requirements.
Specific prerequisites may vary—see provider for full details.
In-person study
Face-to-face learning in a physical classroom setting
City, Auckland
It will take a total of 1 year
Gain proficiency in machine learning, artificial intelligence, and computational methods relevant to data-driven decision making.

Develop capabilities to model, analyse, and interpret data subject to uncertainty, using techniques from statistics, simulation, and optimisation.
Undergraduate degree in a relevant subject area.
Meet University of Auckland postgraduate entry requirements.
Specific prerequisites may vary—see provider for full details.