University
University of AucklandPostgraduate Diploma in Operations Research and Analytics PGDipORAn
This course is available
On-Campus
Level of Study
Postgraduate Certificate or Diploma
Duration
1 year
Next start date
Expected Mar 2027
Campus
City Campus
Summary
Rapid technological change is generating 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. We cover core topics such as machine learning and artificial intelligence, operations research, optimisation under uncertainty, financial statistics, and time series analytics. Although the PGDipORAn involves only taught courses, students will also gain the right foundations to pursue further study in the research-based Master of Operations Research and Analytics.
Entry criteria
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. 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 60 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 60 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.
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