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Masters

Master of Analytics

Auckland University of Technology
Auckland , New Zealand
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Students
Tuition Fee
NZD 47,121
Start Date
2027-02-22
Medium of studying
On campus
Duration
18 months
Details
About Program
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Details
Program Details
Degree
Masters
Major
Data Analysis | Data Analytics | Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
NZD 47,121
Intakes
Program start dateApplication deadline
2027-02-22-
2027-07-12-
About Program

Program Overview

Master of Analytics

The Master of Analytics is a postgraduate program designed to address the global demand for professionals with strong analytics skills. It provides students with the mathematical, statistical, and computational skills necessary for large-scale data modeling.


Program Details

  • Program Code: AK1321
  • Level: 9
  • Points: 180
  • Duration: 1.5 years full-time, part-time available
  • Campus: City Campus
  • Start Dates: 13 Jul 2026, 22 Feb 2027, 12 Jul 2027

Fees

  • Domestic: $11,851.60 (for 120 points), comprising $10,630 tuition fees and $1,221.60 student services levy
  • International: $47,121.60 (for 120 points), comprising $45,900 tuition fees and $1,221.60 student services levy
    • Fees are based on a full-time workload and are subject to change.
    • International students' tuition fees reflect the full cost of tuition, while domestic students' fees are partially funded by the New Zealand Government.

Entry Requirements

  • Minimum Requirements: Relevant bachelor's degree in mathematical sciences (or equivalent) with a B grade average in courses at level 7 or above.
  • English Language Requirements: IELTS (Academic) 6.5 overall with all bands 6.0 or higher; or equivalent.
  • In exceptional circumstances, applicants without the standard requirements but with appropriate academic and professional experience may be considered, subject to completing prerequisite courses.

What You Study

Students complete a range of courses and a research project on a topic of their interest. Depending on course choices, students may qualify for a Statistical Analysis System (SAS) Joint Certificate in Advanced Analytics.


  • Compulsory 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)
  • Elective Courses: Choose two from:
    • COMP813 Artificial Intelligence (15 points)
    • COMP814 Text Mining (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 program leader.
  • Research Project: STAT995 Dissertation (60 points)

Career Opportunities

Graduates can pursue careers as:


  • Data analyst/scientist
  • Data engineer
  • Operations research analyst
  • Quantitative analyst
  • Business intelligence analyst
  • Market research analyst
  • Management consultant
  • Researcher in higher education establishments

Related Programs

  • Master of Science
  • Master of Science (Research)

Student Testimonials

Students have found the program to enhance their skills in data analytics, enabling them to make informed business decisions and contribute to their chosen fields effectively.


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