Qualification Overview
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Qualification Title | Master of Applied Data Analytics (240) | |
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Qualification Type | Masters Degree | |
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Level | 9 | |
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Credits | 240 | |
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Subject Area |
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Strategic Purpose Statement |
The Master of Applied Data Analytics (240) is a Level 9 programme of 240 credits with 90 credits at level 9, completed by a combination of coursework and a substantial 90 credit Level 9 applied project. It enables ākonga who have completed a bachelor's degree in fields with a high mathematical focus, such as engineering (including software engineering), science, economics, finance, mathematics/statistics to complete a master's qualification in the Applied Data Analytics area.
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Graduate profile |
Graduates of the Master of Data Analytics 240 credits will: 1. Demonstrate deep and integrated knowledge of conceptual and theoretical elements of data analytics. 2. Critically evaluate complex data-related problems and design analytical approaches for a wide range of applied contexts. 3. Synthesise complex data, evidence and literature to develop robust, critically informed and evidence-based arguments. 4. Communicate advanced knowledge, analytical insights, limitations, recommendations and strategic decisions to specialist and non-specialist audiences using professional, academic and digital formats. 5. Demonstrate professional, ethical, responsible and culturally responsive practices in the synthesis, management, analysis, interpretation and communication of data. 6. Apply data governance principles, privacy legislation and ethical frameworks to support equitable, inclusive and culturally responsive data practices in Aotearoa New Zealand and globally. 7. Undertake substantial independent research and apply advanced analytical problem-solving to address complex real-world challenges, demonstrating research capability, leadership and meaningful contribution to applied data analytics practice.
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Education pathways |
Bachelors or higher in a field with a quantitative focus >> 240 Masters >> Further Study (PhD)
Bachelors or higher in a field with a quantitative focus >> Postgraduate Certificate or Diploma >> 240 Masters >> Further Study (PhD) |
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Entry Requirements |
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: * an NZQCF-listed undergraduate degree (or equivalent) which has a quantitative focus5 with a minimum of the equivalent to a B minus (B-) average in the final year of study (as per the EIT-specified 11-point achievement-based grading system) or * a Bachelor Honours or Postgraduate degree which has a quantitative focus with 120 credits at Level 8 or * a degree or equivalent professional (quantitative-focused) qualification with a minimum of the equivalent to a B minus (B-) average in the final year of study (as per the EIT-specified 11-point achievement-based grading system) and/or verifiable evidence of quantitative experience at degree level, and assessment from the programme coordinator or * at the Dean's discretion, where an applicant's situation is compelling but not covered by the requirements listed above. All 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: * successful study of a programme in which English was the language of instruction (subject to the conditions in EIT's Database for English Language Proficiency (DELP)) * completion of a New Zealand Certificate in English Language Level 5 (Academic) * IELTS Academic score of 6.5, with no band score lower than 6, achieved in a single test within the two years preceding enrolment * accepted international equivalents to the above IELTS scores (see equivalency tables in the DELP). An international ākonga must be in possession of an appropriate visa for the duration of their programme.
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Education Organisation | Eastern Institute of Technology | |
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Developed By | Eastern Institute of Technology | |
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Quality Assured By | New Zealand Qualifications Authority | |
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Number | 5787 | |
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Status | Current | |
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Created | 2026-11-12 12:34:53.11 | |
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Next Review | 2031-09-30 00:00:00.0 | |
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Content |
Data analytics and visualisation; analytics for decision making, intelligent analytics in practice, data governance and sovereignty, applied research methods elective, 300 hour project Work Integrated Learning 2, 900 hour project Strategic Integrated Project
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