Operations Research and Analytics University of Auckland

Overview

The Master of Operations Research and Analytics at the University of Auckland provides students with the high-level technical skills required to navigate today's data-driven economy. This interdisciplinary programme is managed by the Faculty of Engineering and Design, welcoming applicants from diverse academic backgrounds including science, commerce, and arts. Students learn to apply sophisticated mathematical modelling to solve complex real-world problems.

The curriculum is designed to address the growing global demand for professionals who can minimise risk and improve efficiency within large organisations. By combining theoretical knowledge with practical research, the programme ensures that graduates are prepared to handle rapid technological shifts.

Why Operations Research and Analytics at the University of Auckland?

Studying at this institution provides access to the specialised expertise of the Faculty of Engineering and Design. The programme stands out for its interdisciplinary nature, allowing students to integrate knowledge from various fields to tackle multifaceted challenges. The university's strong links to both private and public sectors ensure the curriculum remains relevant to current industry needs and technological advancements.

Tuition Fee Breakdown

• International fee: NZD 55484 per year
• National fee: NZD 12013 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The programme structure includes a variety of tracks focusing on core competencies in mathematical modelling and data science. Modules may include:

• Machine Learning and Data Mining
• Artificial Intelligence
• Uncertainty in Data
• Algorithms for Optimisation
• Integer and Multi-objective Optimisation
• Scheduling and Optimisation in Decision Making
• Simulation and Stochastic Optimisation
• Stochastic Processes
• Stochastic Methods in Finance

Careers with Operations Research and Analytics

Graduates are well-equipped for roles in industries where big data and complex decision-making are central to operations. The advanced analytical skills gained through the programme are applicable to a wide range of professional environments. Potential career paths and roles for graduates include:

• Business analyst
• Data scientist
• Continuous improvement manager
• Energy modelling analyst
• Project Engineer
• Senior consultant
• Software developer

The programme also provides a strong foundation for those wishing to pursue further academic research, such as a Doctor of Philosophy, focusing on specialised areas of analytics and optimisation.