PhD Monitor
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Computer Science and Information Technology● OpenMastersPreview

Master of Data Science

Master the skills to transform raw data into actionable insights and innovative products.

Best for:Best for quantitative graduates looking to build advanced data science expertise combining computer science and statistics.

University of Auckland · Auckland, New Zealand · R1 · First-stage researcher
More professors at University of Auckland
data sciencecomputer sciencestatisticsdata managementbig data
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
2027-03-01
Location
Auckland
New Zealand

Overview

The Master of Data Science at the University of Auckland provides a rigorous interdisciplinary curriculum combining computer science and statistics. Students learn to comprehend, process, and manage complex datasets to extract high-value insights for industry or further academic research. The programme equips graduates to become critical and reflective practitioners ready to tackle modern data-driven challenges. The next intake is scheduled for March 1, 2027.

Master of Data ScienceUniversity of Aucklanddata analyticsinformation technologycomputingstatistics

What you'll do

  • Complete advanced coursework across core computer science and statistics disciplines
  • Comprehend, process, and manage complex datasets effectively
  • Develop innovative data-driven products and solutions
  • Engage in critical and reflective practice to extract value from information

Requirements

Degree required: Bachelor's Degree or equivalent

Degree offered: Master of Data Science

Language: English proficiency as required by the university for international admissions

Instruction: English

Required skills
  • Foundational knowledge in computer science or statistics
  • Analytical and quantitative problem-solving capabilities

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
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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 should visit the official course page to review entry requirements and submit an application through the university admissions portal.

Documents required
  • Academic transcripts
  • Proof of identity
↗Check programme and admissions
Lab
Computer Science and Statistics
University of Auckland
New Zealand
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.