- Duration
- Full-time: 1 year
- Part-time: Varies
- Next start date
- 2025 Semester One – 3 March
- 2025 Semester Two – 21 July
- Available locations
- City
- Points
- 120
- Programme type
- Postgraduate
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.
You'll also need to meet other requirements, including time limits and total points limits. See Postgraduate enrolment.
2024 entry requirements
My highest qualification is from:
Programme requirements
Minimum programme requirements
Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.
-
Study optionTaught 120 pointsGrade requiredGPA Grade Point Average 3.0
Further programme requirements
Taught 120 points
You must have completed a relevant Bachelor Honours degree in a relevant subject from this University with a Grade Point Average of 3.0 or higher in 120 points above Stage III.
Note: A relevant Bachelors Honours degree may include the Degree of Bachelor of Advanced Science (Honours), Bachelors of Arts (Honours), Bachelor of Commerce (Honours), or Bachelor of Science (Honours).
Or
A relevant Bachelor degree in a relevant subject from this University with a Grade Point Average of 3.0 or higher in 75 points above Stage II.
Note: A relevant Bachelors degree may include the Degree of Bachelors of Arts, Bachelor of Commerce, or Bachelor of Science.
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.
Programme requirements
Minimum programme requirements
Minimum requirements listed here are the likely grades required and do not guarantee entry. We assess each application individually and applicants may require a higher grade to be offered a place.
-
Study optionTaught 120 pointsGrade requiredGPE Grade Point Equivalent 3.0
An undergraduate degree
-
QualificationIELTS Academic International English Language Testing SystemScore required6.5
No bands less than 6.0.
Further programme requirements
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.
How much does a Postgraduate Diploma in Operations Research and Analytics cost per year?
2025 fees
- Domestic students
- NZ$12,127.20*
- International students
- NZ$50,810*
Fees are set in advance of each calendar year and will be updated on this website. Fees are inclusive of 15% GST, but do not include the Student Services Fee, course books, travel and health insurance, or living costs. Amounts shown are indicative only. In addition to the tuition fees, there is a Student Services Fee of $8.88 per point, estimated at $1,065.60 for full-time study (120 points). Fees will be confirmed upon completion of enrolment into courses.
*Please note: amounts shown are indicative and estimates only.
Find out about financial support information
Scholarships and awards
Find out about the scholarships you may be eligible for.
Student loans and allowances
Are you a New Zealand citizen or resident? You could be eligible for a student loan or allowance.
Cost of living
Get an idea of how much accommodation and general living in Auckland will cost.
Key dates
Please note: We will consider late applications if places are still available. International students should start the application process as early as possible to allow sufficient time to apply for a visa.
Application closing dates
- Semester One 2025
- 8 December 2024
- Semester Two 2025
- 4 July 2025
Start dates
Here are the start dates for the programme.
| Semester One | Starts – 26 February |
|---|---|
| Ends – 24 June | |
| Semester Two | Starts – 15 July |
| Ends – 11 November |
| Semester One | Starts – 3 March |
|---|---|
| Ends – 30 June | |
| Semester Two | Starts – 21 July |
| Ends – 17 November |
Other important dates
See important dates for the academic year, including orientation, enrolment, study breaks, exams, and graduation.
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
Student career planning service
Once you become a student at the University, you can get help with planning and developing your career from Career Development and Employability Services.
Key Information for Students
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Do you need help?
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- Auckland
- 923 5025
- Outside Auckland
- 0800 61 62 63
- International
- +64 9 373 7513