The programme is designed for students who want careers at the intersection of:

• Healthcare
• Digital technologies
• Data analytics
• Information systems
• Artificial intelligence
• Healthcare management

Students learn how to manage healthcare data, develop secure healthcare systems, improve patient outcomes, and use analytics to support healthcare decision-making.

Key Benefits

• Fast-track master’s degree completed in 45 weeks
• Strong focus on healthcare technologies and analytics
• Practical capstone industry project
• Learn healthcare data security and digital healthcare design
• Exposure to AI and advanced analytics in healthcare
• Industry partnerships with IBM, AWS, and Fortinet
• Potential IBM certification opportunities
• Cisco Badge opportunities
• Yoobee is a member of Health Informatics New Zealand (HINZ)

Programme Structure / Subjects Offered

Trimester 1

Students build strong foundations in healthcare information systems and research.

Subjects Include

• Strategic Information Systems Planning
• Information Systems Analysis and Design
• Database Management Systems
• Research Methods

Learning Areas

• Healthcare data modelling
• SQL and database systems
• User-centred systems design
• Strategic healthcare systems
• M?ori and Pasifika healthcare perspectives
• Ethical research methodologies

Trimester 2

Students focus on healthcare analytics and digital healthcare systems.

Subjects Include

• IT Project Management
• Digital Healthcare Design
• Health Analytics
• Data Safety in Healthcare Systems

Advanced Topics Covered

• Artificial Intelligence (AI)
• Healthcare data analytics
• Telemedicine systems
• Electronic Health Records (EHR)
• Healthcare cybersecurity
• Healthcare data privacy
• Agile, Waterfall, and PRINCE2 methodologies
• Cultural healthcare equity
• Data ethics

Trimester 3

Industry-Based Capstone Project

Students complete a real-world healthcare informatics project addressing practical healthcare and data challenges using digital technologies and analytics. 

Disciplines / Specialisation Areas Covered

The programme integrates multiple disciplines including:

• Healthcare Informatics
• Digital Healthcare
• Health Analytics
• Business Informatics
• Information Systems
• Healthcare Data Management
• Data Security
• Artificial Intelligence
• Healthcare IT Management
• Business Analytics

Career Outcomes

Graduates may pursue careers such as:

• Healthcare Data Analyst
• Healthcare IT Project Manager
• Healthcare Information Security Analyst
• Healthcare Systems Analyst
• Healthcare IT Analyst
• Digital Healthcare Consultant
• Health Data Manager
• Clinical Data Analyst
• Telemedicine Specialist
• Health Informatics Consultant
• Health Information Management Specialist

Programme Highlights

• NZQA Level 9 qualification
• Accelerated 45-week master’s programme
• Healthcare + technology integrated curriculum
• Industry-based capstone project
• Focus on healthcare analytics and AI
• Strong emphasis on healthcare data privacy and security
• Access to IEEE and O’Reilly digital resources
• IBM and Cisco learning opportunities
• Industry partnerships with IBM, AWS, and Fortinet
• Member of Health Informatics New Zealand (HINZ)

Visa Requirements for International Students

International students generally require:

• Valid New Zealand Student Visa
• Offer Letter from Yoobee
• Proof of tuition fee payment
• Evidence of sufficient living funds
• Valid passport
• English language proficiency proof
• Medical and character certificates (if required)

Latest Updates

• The programme strongly focuses on healthcare analytics, AI, and secure healthcare systems.
• Increased emphasis on culturally appropriate healthcare systems for M?ori and Pasifika communities.
• Growing global demand for healthcare informatics professionals due to rapid healthcare digitalisation.
• Yoobee continues expanding postgraduate healthcare technology programmes for international students.

Healthcare informatics continues to grow globally due to increasing use of:

• Electronic Health Records (EHR)
• Telemedicine
• AI in healthcare
• Healthcare cybersecurity
• Predictive healthcare analytics