
Info Systems
A course by
Whitecliffe College
A 15-week micro-credential empowering learners to design, implement, and critically evaluate AI-based solutions using real-world health data, with a strong focus on responsible, ethical and culturally informed practice for the Aotearoa New Zealand health context.
inc GST
Enquire about international pricing

Explain and analyse how AI is applied within healthcare domains, including its opportunities and limitations.

Source, manage, and work with healthcare data using contemporary AI tools and techniques.
Applied AI in Healthcare is a practical micro-credential designed for learners and industry professionals across healthcare, digital health, health data analytics, and health technology. The programme enables students to design, implement, and critically evaluate AI-based solutions with real-world health data, addressing challenges like data quality, bias, and model generalisability. Students learn the underlying concepts and governance of AI in health settings and develop advanced analytical, ethical, and culturally reflective approaches suited to the unique context of Aotearoa New Zealand healthcare.
Entry Requirements
Foundational statistical knowledge and coding skills



Info Systems
A course by
Whitecliffe College
A 15-week micro-credential empowering learners to design, implement, and critically evaluate AI-based solutions using real-world health data, with a strong focus on responsible, ethical and culturally informed practice for the Aotearoa New Zealand health context.
inc GST
Enquire about international pricing

Explain and analyse how AI is applied within healthcare domains, including its opportunities and limitations.

Source, manage, and work with healthcare data using contemporary AI tools and techniques.
Applied AI in Healthcare is a practical micro-credential designed for learners and industry professionals across healthcare, digital health, health data analytics, and health technology. The programme enables students to design, implement, and critically evaluate AI-based solutions with real-world health data, addressing challenges like data quality, bias, and model generalisability. Students learn the underlying concepts and governance of AI in health settings and develop advanced analytical, ethical, and culturally reflective approaches suited to the unique context of Aotearoa New Zealand healthcare.
Entry Requirements
Foundational statistical knowledge and coding skills


Online study
Flexible online learning from anywhere
Online
It will take a total of 15 weeks
This course requires 20 hours per week
inc GST
Enquire about international pricing

Assess the effectiveness and implications of AI-enabled initiatives, including considerations of data quality, bias, model accuracy, and generalisability.
A Level 7 qualification, or Level 6 with relevant IT or healthcare knowledge (equivalent to Level 7)
English language requirement: IELTS 6.5 (no band less than 6.0) or equivalent (international students, recent test)
Online study
Flexible online learning from anywhere
Online
It will take a total of 15 weeks
This course requires 20 hours per week
inc GST
Enquire about international pricing

Assess the effectiveness and implications of AI-enabled initiatives, including considerations of data quality, bias, model accuracy, and generalisability.
A Level 7 qualification, or Level 6 with relevant IT or healthcare knowledge (equivalent to Level 7)
English language requirement: IELTS 6.5 (no band less than 6.0) or equivalent (international students, recent test)