Master of Data Analytics (Level 9)
Duration
13 -15 months
Delivery
Auckland CBD
Campus
Blended and Distance Online [onshore only]
Credits
180
Fees Domestic
$9,500 NZD
Fees International
Tuition Fees $39,000* NZD
Material Fees $3,000 NZD
The Master of Data Analytics (Level 9) is designed for professionals ready to lead the forefront of data-driven innovation in New Zealand. It equips you with the skills to turn complex datasets into strategic intelligence that drives organisational growth and shapes decision-making at the highest level. Through a blend of rigorous academic theory and hands-on application, you’ll explore AI, predictive analytics, and enterprise business intelligence, tackling real-world challenges that mirror the demands of industry. Learners gain experience designing scalable AI solutions, navigating ethical and regulatory frameworks, and applying advanced strategies in resource allocation, change management, and performance evaluation. Graduates will be equipped for a variety of employment options or pursue further study at a doctoral level, positioning themselves as leaders in the rapidly evolving field of data analytics.
Business Analysis and Strategic Direction
Research Methods
Data Visualisation and Analysis
Elective course (x1):
Advanced Big Data Analytics
Data Engineering and Management
Advanced Al Applications
Data Transformation & Management
Ethical, Legal and Social Implications for Data (15 Credits) OR
Digital Innovation and Strategy
Innovate with Al Technologies in Interdisciplinary Fields OR
Business Informations Systems OR
Information Security and Risk Management
The minimum entry qualification for this Master’s degree if enrolling in the Coursework only option:
- Bachelor’s degree or Postgraduate Diploma or Postgraduate Certificate in a related discipline, OR
- Graduate Diploma in a related discipline
- A combination of academic qualifications and relevant skills and knowledge acquired through work or professional experience (min. 2 ½ years in the last 6 years) that is deemed equivalent to the above.
The minimum entry qualification for this Master’s degree if enrolling in the Research-based option:
- Bachelor’s degree in a related discipline with an average grade of B- in Level 7 papers, OR
- Postgraduate Diploma or Postgraduate Certificate or Graduate Diploma in a related discipline with an average grade of B, OR
- A combination of academic qualifications and relevant skills and knowledge acquired through work or professional experience (min. 2 ½ years in the last 6 years) that is deemed equivalent to the above.
- 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.
In-study work rights of 25 hours a week and a 3-year, post-study work visa on successful completion of programme.
Digital device requirements:
Learners are required to have a suitable device (BYOD) for their study. Learners are required to have
access to a reliable internet connection and a data usage plan that will allow them to sign into the
NZSE’s Learning Management System (LMS), Canvas, upload and download files including video.
The delivery of this programme will be through Microsoft Teams and NZSE’s Canvas LMS. Hence, the
following device requirements apply:
Devices used in this programme require at least the following specifications: Windows 11
Pro 64-bit ver 24H2 Intel i7 14th Gen 8 core OR AMD Ryzen 7 5000 series 8 core Dedicated Mobile GPU with 6GB or bigger More than 16GB RAM 1024GB (1TB) SSD Connectivity Wi-Fi 6 802.11ax 15.6-inch screen Built-in webcam and microphone Wireless/Bluetooth Business headset with noise cancelling boom mic Wireless/Bluetooth external USB Mouse A current and updated Internet/Online Security solution needs to be used at all times.
Not supported: Other devices will not meet the requirements for this programme’s delivery e.g., macOS
devices, Windows devices with ARM CPUs (like Qualcomm), smart phones, tablets, etc.
Only those learners enrolled as ‘online’ learners will be able to use a desktop computer. Blended
learners will be required to bring their own high-end laptop to campus
- Systems Support Manager (mid-level)
- Business Technology Manager (mid-level)
- Analytics Consultant/Senior Insight Analyst
- Business Data Performance Analyst
- Data Quality Systems Manager
- Operations Manager (Data/Tech/Analytics)
- Information Systems Architect (mid-level)
- Business Process Analyst/Engineer
Graduates of this Master’s degree will have achieved study output to an advanced standard including a research component and may be considered for admission to a programme of advanced study and/or original research leading to a Doctoral Degree.
2026 Launch Study Award of $10,000 NZD or
a $11,000 NZD Seafield NZCEL Level 5 packaged pathway offer.
International students only. Contact us for more details
What's next?
Graduates will be well prepared for employment and will be able to work with some guidance in a variety of positions. Graduates will be able to demonstrate advanced theoretical knowledge and apply advanced practical skills for the specialist field of data analytics. It is expected that graduates from this programme will be able to progress into the following roles, many of which are in demand in Aotearoa New Zealand.
Need help making your decision?
Schedule and Fees
Online
- 20/4/26
- 24/8/26
- 23/11/26
- 28/5/27
- 09/10/27
- 17/12/27
- Join our alumni network
- Create a job-ready portfolio
- Learn from industry experts
- Live classes
- NZQA Certified
- Project-based and practical
Tuition Fees
NZD $39,000*
Material Fees
NZD $3,000
Payment options
- Pay in 2 instalments
Partial scholarships are available: conditions apply.
- 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.