Master of Operations Research and Analytics - Research 120 points

In an age of rapid technological development, Operations Research and Analytics is an essential field. Offered by the Faculty of Engineering , this interdisciplinary programme is open to students with undergraduate backgrounds in arts, commerce, engineering or science. Our graduates are in return, versatile. 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: minimise risk, make organisations more effective, and ultimately, respond to ongoing demand in both public and private sectors. Operations Research and Analytics is an extensive, multidisciplinary field, allowing you to work in a variety of industries, particularly where big data is prominent – future career possibilities may even be tailored to your personal interests. Your advanced skills in self-directed research will additionally provide confidence to adapt to any new applications that may arise.

You must have completed a relevant Bachelor Honours degree in a relevant subject from this University with a Grade Point Average of 5.0 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), 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.

IELTS (Academic) - Overall score of 6.5 and no bands below 6.0
Internet-based TOEFL (iBT) - Overall score of 90 and a written score of 21
Paper-based TOEFL - Overall score of 575 and an Essay (TWE) of 4.5