UniversityUniversity of Auckland
This course is available
Level of Study
Postgraduate Certificate or Diploma
Next start date
Expected Feb 2024
University of Auckland
Develop practical skills in Operations Research and Analytics to pursue an increasingly important field in industry.
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.
You'll also need to meet other requirements, including time limits and total points limits. See Postgraduate enrolment.
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
Energy modelling analyst
Further study options
Master of Operations Research and Analytics
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.