Data Analytics and Artificial Intelligence - Micro-Credential

Computer Science

A part-time, online, NZQA Level 8 micro-credential introducing working professionals to Data Analytics, Machine Learning, and Artificial Intelligence, including business applications and ethical and cultural considerations.

NZ$863

inc GST

Enquire about international pricing


This course starts anytime

NZQA Level 8 Certification (10 Credits)

Study Level

Post Grad

1
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10

Online study

Flexible online learning from anywhere

It will take a total of 8 weeks

This course requires 12 hours per week


Core skills this course teaches


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Apply data analytics for decision making

Understand how data and analytics drive decision making in organisations.

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Understand artificial intelligence systems

Identify different types, systems, and frameworks used in Artificial Intelligence.

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Navigate ethical considerations in AI and analytics

Investigate ethical, privacy, and cultural issues, with specific attention to Māori and Pacific contexts and values.

What You're Signing Up For

This NZQA-accredited Level 8 micro-credential is designed for professionals, leaders, and managers wanting to learn how Data Analytics, Machine Learning, and Artificial Intelligence can transform organisations. Participants will explore data science processes, data ingestion, cleansing and transformation, and analyse how data analytics informs business decisions. The course also covers various types of artificial intelligence, basic knowledge representation, and problem solving. Ethical, privacy, and cultural issues—including Māori and Pacific perspectives—are integrated to ensure participants can approach AI and analytics in an Aotearoa New Zealand context.

Course Content

  • Introduction to Data Analytics and Artificial Intelligence
  • Data science processes
  • Data ingestion, cleansing, and transformation
  • Knowledge representation and problem-solving techniques
  • Analysis of data sets for business decision making
  • Application of machine learning and AI algorithms
  • Types, systems, and frameworks for AI
  • Ethical, privacy, and cultural issues in AI and analytics
  • Mātauranga and Kaupapa Māori perspectives
  • Business and organisational applications of data analytics and AI

What you need to know first

Bachelor's degree, or equivalent level qualification, OR relevant professional experience

All applications assessed by Programme Director, interview may be required

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What sort of industry will this job lead to

  • Information Technology

  • Business

  • Data Science

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Future employment opportunities might be

  • Upskilled professional in data analytics and AI

  • Enhanced decision-making roles in business

  • Leadership and management roles using analytics and AI

  • Data-driven roles across industries