PhD Monitor
/Detail
Data, Information, and Knowledge● OpenMastersPreview

Master of Analytics

Develop advanced data modelling and analytics skills for large-scale data challenges in industry and research.

Best for:Best for professionals and graduates seeking to specialise in data analytics, with a focus on mathematical and computational skills for large-scale data challenges.

Auckland University of Technology (AUT) · Auckland, New Zealand
More professors at Auckland University of Technology (AUT)
big-datadata-miningdata-engineeringstatistical-modelingcomputational-statisticsdata-analytics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
2027-02-22
Location
Auckland
New Zealand

Overview

The Master of Analytics at Auckland University of Technology (AUT) is designed to meet the growing demand for professionals skilled in handling vast amounts of data. This programme equips students with mathematical, statistical, and computational expertise to tackle complex data organisation, storage, and manipulation tasks. It is tailored for both recent graduates from diverse academic backgrounds and professionals already working in the industry. Through coursework, students gain hands-on experience in large-scale data modelling, preparing them for careers in analytics-driven roles across various sectors.

Master of Analyticsdata modellingstatistical analysiscomputational skillsbig datadata sciencemathematical modellingindustry applications

What you'll do

  • Develop advanced mathematical and statistical skills for large-scale data modelling.
  • Learn computational techniques to handle and manipulate big data efficiently.
  • Apply analytics tools and methodologies to solve real-world data challenges.
  • Collaborate with peers and industry professionals on data-driven projects.
  • Develop expertise in data visualisation and interpretation for decision-making purposes.

Requirements

Degree required: Bachelor's degree in a relevant field such as Mathematics, Statistics, Computer Science, Engineering, or related disciplines.

Degree offered: Master of Analytics

Language: English proficiency (if applicable, though not explicitly stated in the source)

Instruction: English

Required skills
  • Basic proficiency in mathematics and statistics
  • Foundational knowledge of programming (e.g., Python, R)
  • Ability to work with large datasets
  • Problem-solving skills for data-driven challenges
Nice to have
Experience with data analysis tools (e.g., SQL, Tableau, SPSS)Background in machine learning or data scienceProfessional experience in data-related roles
Eligibility
  • Open to international students
  • No specific age or residency restrictions mentioned

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2027-02-22

Applicants should follow the application instructions provided on the official AUT website. This typically involves submitting an online application form, academic transcripts, proof of English proficiency (if required), and a statement of purpose. Additional documents may be required based on individual circumstances.

Documents required
  • Academic transcripts
  • Proof of English proficiency (if applicable)
  • Statement of purpose
  • CV/Resume
↗Check programme and admissions
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.