Master of Analytics – MAnalyt
Business & Management
A course by
Massey University
A unique master's qualification focusing on transforming data into intelligence that enhances business competitiveness and decision-making. Students gain technical ability, data-driven problem-solving, and communication skills, preparing them for high-demand analytics roles.
NZ$16,010
inc GST
Enquire about international pricing
This course starts anytime
NZQA Level 9 Certification (180 Credits)
Post Grad
1
2
3
4
5
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9
10
NZ$16,010
inc GST
Enquire about international pricing
This course starts anytime
NZQA Level 9 Certification (180 Credits)
Post Grad
1
2
3
4
5
6
7
8
9
10
Core skills this course teaches
Master data analysis tools and programming
Develop proficiency in leading analytics tools, including machine learning, data mining, statistics, econometrics, Python, R, and SQL.
Apply analytics to real-world business problems
Undertake an applied analytics project in collaboration with an external organisation to solve a practical business, healthcare, or policy challenge.
What You're Signing Up For
Massey’s Master of Analytics equips graduates with the technical and practical skills needed to transform massive amounts of data into actionable business insights. The programme covers data analysis tools (including machine learning, data mining, statistics, econometrics), advanced programming (Python, R, SQL), and communication skills. Students complete an applied analytics project with a real-world business, healthcare, or policy context and gain globally recognised SAS Academic Specialisation certification. Graduates meet the growing global demand for analytics professionals and are sought after across private and public sectors.
Course Content
- Data mastery: scripting, databases, and data privacy
- Multivariate analysis for big data
- Practical data mining
- Applied econometric methods
- Applied analytics project (in business, healthcare, or public policy)
- Machine learning and data mining techniques
- Statistical programming with Python and R
- SQL for data retrieval and processing
- Customer segmentation, factor and latent class analysis
- Data visualisation techniques
- Communication of analytics results
- Business analytics specialisation
What you need to know first
A bachelor's degree in a relevant subject with at least a B- grade average in final-year courses, or equivalent
Find these employment opportunities
Data analystBusiness intelligence analystData scientistAnalytics consultantRoles in business, government, finance, and healthcare sectors
