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Computer Science● OpenMastersPreview

Master of Data Science

Master advanced data science, artificial intelligence, and machine learning to solve real-world problems.

Best for:Best for students seeking advanced technical training in data science, machine learning, and artificial intelligence.

Victoria University of Wellington · Wellington, New Zealand · R1 · First-stage researcher
More professors at Victoria University of Wellington
Artificial IntelligenceMachine LearningData ScienceStatisticsComputer Science
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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2 years
Start date
2027-02-22
Full-time
Location
Wellington
New Zealand

Overview

The Master of Data Science at Victoria University of Wellington is a comprehensive two-year postgraduate programme designed to address the high global demand for modern data professionals. Delivered in Wellington, New Zealand, the curriculum merges core principles of mathematics, computer science, statistics, artificial intelligence, and machine learning. Students develop versatile technical capabilities to interpret complex large-scale datasets and adapt to constantly evolving analytical tools. The programme prepares graduates for dynamic careers by building rigorous foundational skills and advanced practical expertise.

Master of Data ScienceVictoria University of WellingtonArtificial IntelligenceMachine LearningBig DataStatisticsComputer Science

What you'll do

  • Complete advanced coursework across computer science, statistics, and artificial intelligence
  • Apply machine learning techniques to interpret large and complex datasets
  • Develop adaptable technical solutions using modern data tools and programming frameworks
  • Engage in practical problem-solving blending mathematics and computational methods

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 knowledge in mathematics or statistics
  • Basic background in computer science or programming

Funding & terms

Type
Unknown
Amount
—
Duration
2 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

Review the admission criteria and submit your application through the official university portal or designated application channels. Ensure all necessary academic transcripts and supporting documentation are provided prior to the intake deadline.

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