This programme is New Zealand’s first integrated AI + IT Master’s degree.

Key Reasons:

• Combines Artificial Intelligence + IT + business problem-solving
• Designed for both IT and non-IT backgrounds
• Focus on real-world industry projects & research
• Strong demand for AI professionals globally

Programme Structure / Subjects

Core Subjects:

• AI for IT Professionals
• AI-Enhanced Research Methods

Electives Include:

• Data & Big Data Management
• Data Mining
• Cybersecurity
• Cloud & IoT Computing
• AI Ethics & Governance
• Business Intelligence
• UX Design (Human-centred AI)
• Software Development
• AI-driven Security

Project / Research Options:

• Applied Project (industry-based)
• Integrative Project
• Research Thesis

Disciplines / Specialisations

No fixed majors, but students can specialise in:

• Artificial Intelligence & Machine Learning
• Data Science & Analytics
• Cybersecurity (AI-based)
• Cloud Computing & IoT
• AI Ethics & Governance
• Software Engineering

Highlights

• First AI-integrated IT Master’s in NZ
• Real-world industry projects
• Strong research + practical learning balance
• Flexible pathways (120 / 180 / 240 credits)
• Pathway to PhD / doctoral study

Career Outcomes

Graduates can work in:

Technical Roles:

• AI Engineer
• Data Scientist
• Machine Learning Engineer
• Software Developer
• Cloud AI Architect

Business & Leadership Roles:

• Business Intelligence Analyst
• AI Product Manager
• IT Consultant (AI solutions)
• Digital Transformation Lead

Advanced / Research Roles:

• AI Research Scientist
• AI Policy & Ethics Specialist
• Innovation Manager

Special Requirements (Important)

Laptop Requirements:

• CPU: i7 / Ryzen 7 / Apple M1+
• RAM: 16GB (32GB recommended)
• Storage: 512GB–1TB SSD
• GPU recommended (for AI/ML tasks)

Latest Updates / Key Insights

• One of the most modern AI-focused programmes in New Zealand
• Designed for both IT and non-IT students
• Strong focus on:
  • Ethical AI
  • Sustainability
  • Industry integration

Final Summary

This programme is ideal if you want to:

• Build a career in AI, Data Science, or IT leadership
  
• Study a flexible Master’s (1–2 years)
  
• Gain industry experience + research skills
  
• Enter a high-demand global tech field