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Computer Science and Business Studies● OpenMastersPreview

Master of Analytics

Equip yourself with technical ability and competence in devising data-driven solutions.

Best for:Best for individuals seeking advanced technical competence in analytics and data-driven decision making.

Massey University · Auckland, Manawatu-Whanganui, Wellington, New Zealand · R1 · First-stage researcher
More professors at Massey University
Data AnalyticsDecision MakingInformation TechnologyBusiness IntelligenceData-Driven Solutions
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
1.48 years
Start date
flexible
Location
Auckland, Manawatu-Whanganui, Wellington
New Zealand

Overview

Massey University offers a Master of Analytics designed to provide students with advanced technical abilities and competence in developing data-driven solutions. The programme addresses the growing need for professionals who can transform massive amounts of data into actionable insights for both private and public sectors. Students learn to navigate complex data environments to help organisations become more competitive through greater efficiencies and new product creation. The curriculum bridges computer science, business studies, and information technology to prepare graduates for modern analytical challenges.

Master of AnalyticsData AnalyticsBusiness StudiesComputer ScienceMassey University

What you'll do

  • Complete coursework focused on advanced analytics and data management
  • Engage with massive datasets to extract actionable insights
  • Develop technical solutions for private and public sector challenges
  • Apply data-driven methodologies to foster business innovation

Requirements

Degree required: Bachelor's degree or equivalent academic qualification

Degree offered: Master's Degree

Language: English proficiency as required by university admission standards

Instruction: English

Required skills
  • Foundational background in computing, IT, or business studies
  • Analytical aptitude for processing quantitative information
Nice to have
Prior experience working with data analysis tools or programming languagesBackground in quantitative research methods

Funding & terms

Type
Unknown
Amount
—
Duration
1.48 years
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

Prospective students should visit the official study portal to review admission criteria and submit their application through the online application system.

Documents required
  • Academic transcripts
  • Proof of identity
↗Check programme and admissions

Contact

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Check admissions, intake and funding with the official source; a listing does not mean applications are open.