Qualification

Micro-credential, NZQA Level 8 (Postgraduate)

6 Credits

Start Dates
Course Fees
Domestic $384.00 NZD
Admission Requirements

Refer to Entry Criteria below

Portfolio Requirements

N/A

Study Options

Study online
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7 Weeks
Weekly 2.5 hour workshop
Wednesday evenings
(from 5.30pm)
Part time
Study around your work
commitments
Online & Live
Flexible and interactive

Overview

Aim, content and outcomes

Essential upskilling for working professionals, leaders and managers from all industries and sectors looking to gain an understanding of how Data Analytics, Machine Learning and Artificial Intelligence can potentially transform their organisations and improve customer and stakeholder experience.

  • Learn from industry guest speakers
  • Collaborate with like-minded professionals
  • Learn how Data Analytics and AI can transform your organisation

As well as being introduced to the areas of Data Analytics and Artificial Intelligence, you will gain an understanding of basic knowledge representation, problem solving techniques and explore data science processes, data ingestion, cleansing, and transformation fundamentals that turn data analytics into insights to drive decision making. You will learn techniques and best practices in the analysis of data sets, which are useful for crucial business decisions, and will explore how data and tools can be used to solve complex, real world business problems through the application of machine learning, algorithms, and other artificial intelligence techniques.

You will also investigate the ethical, privacy an cultural issues related to machine learning and artificial intelligence, and explore Mātauranga and Kaupapa Māori concepts, perspectives and values – as an integral and essential part of the applying data analytics and artificial intelligence in an Aotearoa New Zealand context.

In this Data Analytics and Artificial Intelligence micro-credential you will gain an understanding

  • of how data and analytics drive decision making
  • different Artificial Intelligence types, systems, and frameworks
  • Māori and Pacific ethics, culture and human rights issues in relation to the application and integration of Artificial Intelligence and use of Data Analytics

Successfully complete this micro-credential and you can transfer these 6 credits towards the Postgraduate Certificate in Digital Transformation* at Media Design School (*subject to meeting programme entry criteria).

Thoughts from our Alumni

Shaun Gear
Shaun Gear

The scope of the Digital Transformation programme at Media Design School is broad – it’s taken me outside my comfort zone and provided me with a wider range of tools I now use every day within my role. I didn’t enjoy school or previous tertiary experiences, and this was the first formal programme I’ve enrolled in since entering the world of work 20 years ago. I was unsure how I’d cope, but our facilitators have a wealth of industry and academic experience, and I’ve thrived with the flexibility and support they continue to offer during the programme.

Entry Requirements

This is a Level 8 micro-credential on the NZQCF, equivalent to Postgraduate Certificate or Diploma level study.

You will need: 

  • Bachelor's degree, or equivalent level qualification,  OR 
  • Equivalent and relevant professional experience that demonstrates ability to perform in the micro-credential and commit to achieving its outcomes

All entry applications are assessed by the Programme Director and a personal interview may be requested if necessary.

International students will need to have sufficient English language skills to complete this micro-credential: Academic IELTS 6.5 (minimum with no bands less than 6.0), or a minimum TOEFL score of 100, with minimum sub-scores of 25 (or equivalent qualification, if English is not your first language).

How to apply

Click on Apply and complete the application form.

Attach the following documents:

  • Proof of ID and
  • Proof of bachelor’s degree or equivalent OR
  • Proof of equivalent and relevant professional experience eg CV, pay slips, references

 

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