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Applied and Pure Sciences, Computer and Mathematical Science● OpenMastersPreview

Master of Applied Data Science

A conversion Master's degree designed to equip students from diverse academic backgrounds with essential data science and business analytics skills.

Best for:Best for students from diverse academic backgrounds seeking to transition into a professional career in data science and business analytics.

University of Canterbury · Canterbury, New Zealand · R1 · First-stage researcher
More professors at University of Canterbury
Data ScienceBusiness AnalyticsBig DataDigitalizationPredictive Analytics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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Start date
2027-02-01
Location
Canterbury
New Zealand

Overview

The Master of Applied Data Science at the University of Canterbury is a conversion programme designed to address the growing demand for data professionals in an increasingly digitized global economy. The curriculum focuses on big data analytics, business intelligence, and the extraction of actionable insights from large-scale datasets. It is specifically structured to accommodate students from a wide range of academic disciplines, not limited to mathematics or computer science. Graduates will be prepared to navigate the complexities of modern data collection and provide strategic value across various industries.

Data ScienceMaster's DegreeBusiness AnalyticsBig DataConversion CourseUniversity of Canterbury

What you'll do

  • Engage with core concepts of big data collection and management.
  • Develop proficiency in business analytics to identify future trends.
  • Apply data science methodologies to solve real-world industry problems.
  • Participate in a multidisciplinary learning environment focused on digital transformation.

Requirements

Degree required: Bachelor's degree in any discipline

Degree offered: Master of Applied Data Science

Language: English proficiency required for international students

Instruction: English

Required skills
  • Foundational analytical aptitude
  • Interest in data-driven decision making
  • Willingness to learn computational and statistical tools
Nice to have
Prior exposure to mathematics or statisticsBasic programming experience
Eligibility
  • Open to applicants from diverse academic backgrounds

Funding & terms

Type
Unknown
Amount
—
Duration
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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
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Taught / research mode
Not confirmed by the source
Study mode
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Campus
Not confirmed by the source
Prerequisites
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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 University of Canterbury programme page to review specific entry requirements and submission procedures. Applications are processed through the university's official portal.

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