The Master of Analytics is designed to address the growing global demand for professionals who can analyze, interpret, manage, and model large-scale data. The programme combines mathematics, statistics, computing, machine learning, optimization, and research skills to prepare graduates for careers in data-driven industries.

Key Reasons to Choose This Programme

• Develop advanced analytical, statistical, mathematical, and computational skills.
• Learn how to work with large and complex datasets.
• Study industry-relevant topics such as machine learning, artificial intelligence, big data, and optimization.
• Complete an independent research dissertation.
• Potential opportunity to qualify for a Statistical Analysis System (SAS) Joint Certificate in Advanced Analytics, depending on course selection.
• Strong demand for analytics professionals globally.
• Suitable for both recent graduates and working professionals seeking advanced analytics expertise.

Subjects and Topics Covered

Students develop expertise in areas including:

Data Analytics and Data Science

• Data Mining
• Big Data Analytics
• Data Warehousing
• Statistical Programming
• Predictive Analytics

Artificial Intelligence and Machine Learning

• Machine Learning
• Artificial Intelligence
• Text Mining
• Advanced Analytics

Mathematical and Statistical Analytics

• Mathematical Modelling
• Simulation Techniques
• Computational Statistics
• Operations Research
• Optimization

Research and Professional Practice

• Research Methods
• Analytics Project Design
• Data-driven Decision Making

Specialisation Areas

Although the programme does not offer formal majors, students can tailor their studies toward:

• Data Science
• Machine Learning
• Artificial Intelligence
• Business Analytics
• Big Data Analytics
• Financial Analytics
• Statistical Modelling
• Operations Research
• Computational Analytics

Career Outcomes

The Master of Analytics prepares graduates for high-demand careers in data and analytics.

Potential Career Roles

• Data Analyst
• Data Scientist
• Data Engineer
• Business Intelligence Analyst
• Quantitative Analyst
• Operations Research Analyst
• Market Research Analyst
• Management Consultant
• Analytics Consultant
• Research Analyst

Latest Updates

• The Master of Analytics remains a Level 9 qualification consisting of 180 points.
• The programme continues to include advanced topics such as Artificial Intelligence, Machine Learning, Big Data, Optimization, and Mathematical Modelling.
• Current published intakes include July 2026, February 2027, and July 2027.
• Students may qualify for a SAS Joint Certificate in Advanced Analytics depending on course selections

Visa Requirements for International Students

International students generally require a New Zealand Student Visa.

Typical requirements include:

• Offer of Place from AUT
• Valid passport
• Proof of tuition fee payment
• Evidence of sufficient funds for living expenses
• Medical examinations (if required)
• Police certificates (if required)
• Approved health and travel insurance