PhD Monitor
/Detail
Information Technology● OpenMastersPreview

Master of Data Analytics

Lead data-driven innovation through advanced analytics, AI, and strategic intelligence.

Best for:Best for IT professionals and graduates seeking advanced expertise in data analytics, AI, and business intelligence.

New Zealand School of Education (NZSE) · New Zealand · R1 · First-stage researcher
More professors at New Zealand School of Education (NZSE)
artificial intelligencepredictive analyticsbusiness intelligencedata-driven innovationcomplex datasets
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
—
Location
New Zealand

Overview

The Master of Data Analytics (Level 9) is a comprehensive academic programme designed for professionals aiming to spearhead data-driven initiatives in New Zealand and beyond. Offered by the New Zealand School of Education, the curriculum merges rigorous theoretical foundations with practical applications in artificial intelligence, predictive analytics, and enterprise business intelligence. Students engage with complex datasets to generate strategic insights that guide organizational growth and high-level decision-making. The programme prepares graduates to tackle real-world challenges across diverse sectors through hands-on project work and specialized coursework.

data analyticsAIbusiness intelligencepredictive analyticsMaster's degreeITNew Zealand

What you'll do

  • Complete advanced coursework in artificial intelligence and predictive modeling
  • Analyze complex enterprise datasets to extract actionable strategic intelligence
  • Design and implement business intelligence solutions for real-world scenarios
  • Engage in hands-on projects addressing industry-relevant data challenges

Requirements

Degree required: Bachelor's degree or equivalent professional background

Degree offered: Master's Degree

Language: English proficiency meeting standard postgraduate admission requirements

Instruction: English

Required skills
  • Foundational knowledge in information technology or related analytical fields
  • Aptitude for quantitative analysis and working with complex datasets
  • Readiness for postgraduate-level academic coursework
Nice to have
Prior professional experience in data analysis or ITFamiliarity with programming languages relevant to data science

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

Interested applicants can submit their application directly through the official study portal by following the course enrollment link. Ensure all required personal and academic documentation is prepared before initiating the submission process.

Documents required
  • Academic transcripts
  • Proof of identity
↗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.