
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.
inc GST
Enquire about international pricing
This course starts anytime
NZQA Level 9 Certification (180 Credits)
Post Grad
inc GST
Enquire about international pricing
This course starts anytime
NZQA Level 9 Certification (180 Credits)
Post Grad

Develop proficiency in leading analytics tools, including machine learning, data mining, statistics, econometrics, Python, R, and SQL.

Undertake an applied analytics project in collaboration with an external organisation to solve a practical business, healthcare, or policy challenge.
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.
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



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.
inc GST
Enquire about international pricing
This course starts anytime
NZQA Level 9 Certification (180 Credits)
Post Grad
inc GST
Enquire about international pricing
This course starts anytime
NZQA Level 9 Certification (180 Credits)
Post Grad

Develop proficiency in leading analytics tools, including machine learning, data mining, statistics, econometrics, Python, R, and SQL.

Undertake an applied analytics project in collaboration with an external organisation to solve a practical business, healthcare, or policy challenge.
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.
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


Online study
Flexible online learning from anywhere
Available in 2 locations
It will take a total of 18 months

Gain advanced skills in translating data insights into actionable business decisions through clear, compelling communication.
Or: A bachelor's degree and at least two years' relevant professional experience
Sufficient background in statistical analysis tools as assessed by the qualification coordinator
Meet university entrance and English language requirements
Online study
Flexible online learning from anywhere
Available in 2 locations
It will take a total of 18 months

Gain advanced skills in translating data insights into actionable business decisions through clear, compelling communication.
Or: A bachelor's degree and at least two years' relevant professional experience
Sufficient background in statistical analysis tools as assessed by the qualification coordinator
Meet university entrance and English language requirements