Master of Analytics
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Today’s businesses and government bodies deal with huge quantities of data. There is global demand for professionals with strong analytics skills who can help organisations meet the increasing challenges of organising, storing and manipulating data. The Master of Analytics addresses this demand, and 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.
The Master of Analytics will equip students with advanced analytics and database skills as well as an understanding of the latest developments in theory, tools and techniques for statistical modelling and mathematical simulation. You will complete a range of papers, as well as a research project on a topic of your interest.
Programme Code: AK1321
Duration: 1 1/2 years full-time / 3 years part-time
Venue: City Campus
Start date: 27 February 2017 and 17 July 2017
AUT encourages early application. There are limited places available. Late applications will be accepted if the programme is not full. Applicants will normally be selected on the basis of their level of academic achievement and may be required to attend a selection interview.
Completed one of the following with a B grade average or higher in papers at level 7
- a relevant bachelor's degree in mathematical sciences
- a relevant graduate diploma in mathematical sciences
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 papers.
Guidelines to entry
To qualify for the Master of Analytics, a student must complete 180 points.
COMP809 Data Mining and Machine Learning (15 points)
COMP810 Data Warehousing and Big Data (15 points)
COMP811 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)
SELECT an additional 2 papers (30 points) as electives from:
COMP804 Health Analytics (15 points)
COMP817 Geocomputation (15 points)
INFS812 Bioinformatics (15 points)
MATH802 Financial Mathematics (15 points)
STAT801 Multivariate Analysis (15 points)
STAT803 Official Statistics (15 points)
STAT805 Computational Mathematics and Statistics (15 points)
Or any other postgraduate paper with the approval of the programme leader.
And a 60 point (1 semester) research project
STAT995 Research Project (60 points)
Master of Analytics
Click here to view programme structure and paper outlines.
Additional course information can also be found here.
Enrolment in papers is subject to meeting all requirements and availability of papers.
Please contact the Programme Administrator
for programme information and availability of papers.
Last updated: 14-Feb-2017 10.00am
The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.