Master of Analytics
There is global demand for professionals with strong analytics skills who can help organisations meet the increasing challenges of organising, storing and manipulating huge quantities of data. The Master of Analytics addresses this demand.
It provides you with the mathematical, statistical and computational skills for large-scale data modelling. It caters for students from a variety of disciplines, as well as professionals already working in the industry. Through your studies you develop advanced analytics and database skills as well as an understanding of the latest theory, tools and techniques for statistical modelling and mathematical simulation.
Download programme guides
Minimum entry requirements
- Relevant bachelor’s degree in mathematical sciences (or equivalent) with a B grade average in courses at level 7 or above
In exceptional circumstances an applicant who does not meet the requirements above but who has an appropriate combination of academic and professional experience may be considered for admission subject to completion of any relevant prerequisite courses.
International student entry requirements
English language requirements
- IELTS (Academic) 6.5 overall with all bands 6.0 or higher; or equivalent
You complete a range of courses, as well as a research project on a topic of your interest. Depending on your choice of courses, you could qualify for a Statistical Analysis System (SAS) Joint Certificate in Advanced Analytics.
To qualify for the Master of Analytics, you must complete 180 points.
Complete the following courses
- COMP809 Data Mining and Machine Learning (15 points)
- COMP810 Data Warehousing and Big Data (15 points)
- ENGE817 STEM Research Methods (15 points)
- MATH803 Mathematical Modelling and Simulation (15 points)
- STAT802 Advanced Topic in Analytics (15 points)
- STAT804 Optimisation and Operations Research (15 points)
And choose two from
- COMP813 Artificial Intelligence (15 points)
- COMP814 Text Mining (15 points)
- INFS812 Bioinformatics (15 points)
- MATH802 Advanced Financial Modelling and Analytics (15 points)
- STAT803 Official Statistics (15 points)
- STAT805 Computational Mathematics and Statistics (15 points)
Or any other postgraduate Course with the approval of the programme leader.
And complete a research project (one semester)
Study planner for this programme
Download our study planner to see in which semester courses are offered and what your studies could look like in the Master of Analytics.
Master of Analytics study planner
Ready to enrol in your courses?
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More details about courses in the Master of Analytics
Email cmspg@aut.ac.nz
Enrolment in courses is subject to meeting all requirements and availability of courses. Some courses may only be offered once per year. To find out more, contact the postgraduate coordinator at the email address above. The timetable may be subject to change and courses could be cancelled if there aren’t enough students enrolled.
- Data analyst/scientist
- Data engineer
- Operations research analyst
- Quantitative analyst
- Business intelligence analyst
- Market research analyst
- Management consultant
- Opportunities to become a researcher in higher education establishments
($10,028 tuition fees + $1,192 student services levy)
($43,700 tuition fees + $1,192 student services levy)
- Fees shown are based on a full-time workload for the points indicated next to the fee. The exact fee charged will depend on which courses you select at the time of enrolment.
- Fees are subject to change year to year. If you are planning for study beyond the current year, fees may vary from those stated.
- There may also be other fees and charges you need to pay.
- International students' tuition fees reflect the full cost of tuition. Domestic students' tuition fees are less due to a proportion of the tuition fees being funded by the New Zealand Government.
The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.