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University

Auckland University of Technology
Auckland University of Technology logo

Master of Analytics

This course is available

On-Campus

Level of Study

Master's Degree

Next start date

Expected Feb 2023

Campus

Auckland University of Technology

Summary

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.

You complete a range of papers, as well as a research project on a topic of your interest. Depending on your choice of papers, 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 papers

  • 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)

And choose two from

  • COMP804 Health Analytics (15 points)
  • COMP817 Geocomputation (15 points)
  • INFS812 Bioinformatics (15 points)
  • MATH802 Advanced Financial Modelling and Analytics (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 complete a research project (one semester)

  • STAT995 Research Project (60 points)

Entry criteria

Relevant bachelor’s degree in mathematical sciences (or equivalent) with a B grade average in papers 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 papers.

English Language Requirements:

IELTS (Academic) 6.5 overall with all bands 6.0 or higher; or equivalent; TOEFL iBT score of 90; Certificate in English for Academic Study (CertEAS) with A grade; GIE with B+ grade; CAE minimum overall score of 176; PTE minimum overall score of 58.

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