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Artificial Intelligence● OpenMastersPreview

Master of Artificial Intelligence for Land Use

Apply cutting-edge artificial intelligence and machine learning to tackle pressing sustainability and land-use challenges.

Best for:Best for students with a quantitative or technical background seeking to apply artificial intelligence to land use, agriculture, and environmental sustainability.

Lincoln University · Canterbury, New Zealand · R1 · First-stage researcher
More professors at Lincoln University
Artificial IntelligenceMachine LearningLand UseAgricultural TechnologyEnvironmental Sustainability
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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1 year
Start date
2027-02-22
Location
Canterbury
New Zealand

Overview

Lincoln University in Canterbury, New Zealand, offers the Master of Artificial Intelligence for Land Use, a one-year graduate programme designed to prepare students for leadership roles in land-based industries. The curriculum focuses on leveraging modern machine learning and AI techniques to address real-world environmental and agricultural pressures. Students gain practical, hands-on experience to seamlessly transition into high-demand technology and sustainability sectors. The programme expects active engagement with advanced computational methods and their application to complex ecological and industrial datasets.

Artificial IntelligenceMachine LearningLand UseData ScienceSustainabilityAgricultureMaster's Degree

What you'll do

  • Complete coursework focused on artificial intelligence and machine learning methodologies
  • Apply cutting-edge computational tools to real-world land use and environmental challenges
  • Participate in practical, hands-on projects addressing high-demand industry sectors
  • Engage with multidisciplinary approaches to tackle pressures on global ecosystems

Requirements

Degree required: Bachelor's degree or equivalent academic qualification

Degree offered: Master's Degree

Language: English proficiency as required by university admissions standards

Instruction: English

Required skills
  • Foundational background in a relevant discipline
  • Interest in applying computational methods to practical problems
Nice to have
Prior experience in programming or data analysisBackground in environmental science, agriculture, or computer science

Funding & terms

Type
Unknown
Amount
—
Duration
1 year
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
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Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
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 course portal to review admission criteria and submit their application materials before the intake date.

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.