University
University of AucklandMaster of Operations Research and Analytics MORAn
This course is available
On-Campus
Level of Study
Master's Degree
Summary
In an age of rapid technological development, Operations Research and Analytics is an essential field. Offered by the Faculty of Engineering and Design, this interdisciplinary programme is open to students with undergraduate backgrounds in Arts, Commerce, Engineering or Science. There are various study tracks for the MORAn, though they will all focus on developing your competencies in core topics: machine learning and artificial intelligence, operations research, optimisation under uncertainty, financial statistics, and time series analytics. With an essential research component in each study track, you'll also enhance your ability to solve problems, think critically, and adopt the fundamentals of the field: minimising risk, making organisations more effective, and ultimately, responding to ongoing demand in both public and private sectors.
Entry criteria
You must have completed either:
- a relevant Bachelor Honours degree in a relevant subject from this University with a Grade Point Average of 5.0 or higher in 60 points above Stage III.
- a Bachelors Honours degree and passed 60 points towards a relevant postgraduate certificate or postgraduate diploma with a GPA of 5.0 or higher.
- a Bachelors degree with a GPA of 5.0 or higher in 60 points above Stage II, and at least three years of relevant professional experience.
- a Bachelors degree and a relevant postgraduate diploma with at least 60 points of courses with a GPA of 5.0 or higher.
Note: A relevant Bachelors Honours degree may include the Degree of Bachelor of Advanced Science (Honours), Bachelors of Arts (Honours), Bachelor of Commerce (Honours), Bachelor of Engineering (Honours) or Bachelor of Science (Honours).
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.
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