Postgraduate Certificate in Data Analytics (Level 8)
Subject to NZQA Approval
Enquire Now
Schedule
Duration
18 weeks/39 weeks
part-time (domestic)
including breaks
Delivery
Auckland CBD
Campus
Blended Distance
Online [onshore] Online [offshore]
Credits
60
Fees Domestic
TBC
Fees International
Tuition Fees $12,000 NZD
Material Fees $2,000 NZD
The Postgraduate Certificate in Data Analytics (Level 8) at NZSE equips learners to turn complex data into clear, actionable insights that drive smarter decisions across business, finance, marketing, and beyond. Blending advanced theory with practical application, it develops expertise in data management, AI-driven solutions, and ethical data practices. Graduates will be able to interpret sophisticated datasets, support innovation, and lead evidence-based decision-making across global corporations, SMEs, NGOs, and Māori and Pacific enterprises — or progress into higher-level study. Through learning in AI applications, data privacy and sovereignty, and real-world data challenges, learners gain practical, industry-ready skills for roles in today’s data-driven workplaces.
Course Content
Entry Requirements
Career opportunities
Pathways
Semester One (15 Credits each course)
Business Analysis and Strategic
Research Methods
Data Visualisation and Analysis
Choose one of the elective courses:
Predictive Modelling and Analytics
Advanced Big Data Analytics
A New Zealand Level 7 Bachelor’s degree, or a recognised equivalent qualification, in a relevant field of study.
- English Language Entry Requirements:
- IELTS (Academic): Overall band score of 6.5, with no individual band less than 6.0, OR NZCEL Level 5, OR Pearson Test of English (PTE Academic): Overall score of 58,
- OR an equivalent English language proficiency test as specified by the New Zealand Qualifications Authority (NZQA) www2.nzqa.govt.nz.
- Middle management level in large businesses or corporations, NGOs and government departments.
- Management of small business enterprises encompassing the data analytics skills obtained.
- Middle management level in consultancy firms or organisations that provide whole-of organisations insights that require the integration of skills in data analytics.
- Entrepreneur; founder/ director of start-ups; and self-employment.
- Examples of roles [in demand in Aotearoa New Zealand]: Analyst Programmer, Business Analyst, Developer Programmer, ICT Consultant, Software and Applications Programmers, Software Engineer, and Software Tester.
Students who complete this Post Graduate Certificate can pathway seemlessly into Semester 2 of NZSE’s Master of Data Analytics, completing the final two semesters of the MDA. International students will still be entitled to a three-year, post-study work visa.
Semester One (15 Credits each course)
Business Analysis and Strategic
Research Methods
Data Visualisation and Analysis
Choose one of the elective courses:
Predictive Modelling and Analytics
Advanced Big Data Analytics
A New Zealand Level 7 Bachelor’s degree, or a recognised equivalent qualification, in a relevant field of study.
- English Language Entry Requirements:
- IELTS (Academic): Overall band score of 6.5, with no individual band less than 6.0, OR NZCEL Level 5, OR Pearson Test of English (PTE Academic): Overall score of 58,
- OR an equivalent English language proficiency test as specified by the New Zealand Qualifications Authority (NZQA) www2.nzqa.govt.nz.
- Middle management level in large businesses or corporations, NGOs and government departments.
- Management of small business enterprises encompassing the data analytics skills obtained.
- Middle management level in consultancy firms or organisations that provide whole-of organisations insights that require the integration of skills in data analytics.
- Entrepreneur; founder/ director of start-ups; and self-employment.
- Examples of roles [in demand in Aotearoa New Zealand]: Analyst Programmer, Business Analyst, Developer Programmer, ICT Consultant, Software and Applications Programmers, Software Engineer, and Software Tester.
Students who complete this Post Graduate Certificate can pathway seemlessly into Semester 2 of NZSE’s Master of Data Analytics, completing the final two semesters of the MDA. International students will still be entitled to a three-year, post-study work visa.
Annual gross income (median) $90,000 NZD.
Depending on industry responsiblities.
What’s next?
Graduates of the Postgraduate Certificate in Data Analytics are prepared to step into middle-management roles across large corporations, SMEs, NGOs, and government departments, applying advanced data skills to guide decision-making. The programme also supports those looking to lead small business enterprises, move into consultancy environments, or launch their own ventures — becoming founders, directors, or self-employed specialists in the data space. Graduates can also pathway seamlessly into NZSE’s Master of Data Analytics, completing the final two semesters of the degree, with international students eligible for a three-year post-study work visa.
How to Apply
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Schedule and Fees
OnlineStart Date
- April
- August
- October
End Date
- TBC
- TBC
- TBC
Fees *(GST inclusive)
TBC
Payment options
- Pay in 2 instalments
Enquire Now
- Join our alumni network
- Create a job-ready portfolio
- Learn from industry experts
- Live classes
- NZQA Certified
- Project-based and practical
Tuition Fees
NZD $12,000
Material Fees
NZD $2,000
Payment options
- Pay in 2 instalments
Enquire Now
- Join our alumni network
- Create a job-ready portfolio
- Learn from industry experts
- Live classes
- NZQA Certified
- Project-based and practical
Fees *(GST inclusive)
TBC
Payment options
- Pay in 2 instalments
Enquire Now
- Join our alumni network
- Create a job-ready portfolio
- Learn from industry experts
- Live classes
- NZQA Certified
- Project-based and practical
Tuition Fees
NZD $12,000
Material Fees
NZD $2,000
Payment options
- Pay in 2 instalments
Enquire Now
- Join our alumni network
- Create a job-ready portfolio
- Learn from industry experts
- Live classes
- NZQA Certified
- Project-based and practical
Looking for More?
Check out more of our Education courses here.