Institute of Technology or Polytechnic
Eastern Institute of Technology (EIT)This course is available
On-Campus
Level of Study
Postgraduate Certificate or Diploma
Duration
24 months
Next start date
Expected Oct 2026
Empower real-world decision-making through data insights
Be at the forefront of data-driven innovation, transforming information into insights that empower smarter, faster decisions in an increasingly complex and rapidly evolving world.
The Postgraduate Suite in Applied Data Analytics† is designed to develop analytical professionals who can harness the power of data to drive informed decision-making across diverse industries and contexts.
Combining statistical theory, computational expertise, and applied domain knowledge, the programme suite equips graduates with the skills to extract meaningful insights from complex datasets, solve real-world problems, and communicate findings effectively to both technical and non-technical audiences. Through a blend of advanced analytical techniques and practical application, learners will be prepared to lead data-informed decision-making in organisations facing constant change and growing complexity.
† Pending NZQA Approval and Accreditation.
The academic entry requirement for the Master of Applied Data Analytics (240), Master of Applied Data Analytics (180), Postgraduate Diploma in Applied Data Analytics and the Postgraduate Certificate in Applied Data Analytics is one of the following:
or
or
or
5 A degree or equivalent professional qualification is deemed to have a quantitative focus if it includes substantial coursework in mathematics, statistics, data analytics, programming, or quantitative research methods, and demonstrates the applicant’s ability to apply quantitative reasoning to solve real-world problems. This is typically evidenced through multiple courses with mathematical or analytical content or through an applied quantitative research project.
A degree or equivalent (verified) professional qualification will be treated as quantitatively focused if the applicant completed:
OR
OR
Admission as an individual to a master’s degree is based on the evaluation of documentary evidence (including the academic record) of the individual applicant’s ability to undertake postgraduate study in this field. Ākonga can staircase through the qualifications, e.g. enrol in the Postgraduate Certificate and subsequently apply to have any credits gained transferred to either the diploma or master’s if they wish to upgrade their chosen qualification pathway.
1.2 English Language RequirementsAll applicants must demonstrate an acceptable level of English language fluency prior to acceptance in the programme. For international ākonga, ways in which English language fluency may be demonstrated include the following:
An international ākonga must be in possession of an appropriate visa for the duration of their programme.
1.3 Credit RecognitionThe provisions and procedures for recognising prior knowledge and skills through cross credit, credit transfer and recognition of prior learning in this programme are set out in EIT’s Academic Regulatory Framework (ARF) and the associated policy set (AG118 in the QMS).
For a Postgraduate Certificate in Applied Data Analytics candidate, a maximum of 30 specified credits may be awarded towards courses in this programme. Any credit recognition towards the Work Integrated learning course must be obtained from a project in the field of Data Analytics.
For a Postgraduate Diploma in Applied Data Analytics candidate, a maximum of 60 credits may be awarded towards courses in this programme. Any credit recognition towards the Work Integrated learning course must be obtained from a project in the field of Data Analytics.
For an Applied Data Analytics Master’s Degree candidate, a maximum of 90 credits may be awarded toward courses in this programme, including a maximum of 30 unspecified credits, with the remainder specified. Any unspecified credit awarded must contribute directly to the Graduate Profile. Any credit recognition towards the Work Integrated learning course must be obtained from a project in the field of Data Analytics. There is no credit recognition for Level 9 courses as per the regulations in the ARF.
All applications for credit recognition require support from the Programme Coordinator and approval by the Postgraduate Cluster Committee.
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