Graduate Certificate in Business Analytics

Business & Management

Get the technical know-how to use analytics tools and transform big data into valuable business insights in just 9 months with this practical graduate certificate by the University of Waikato.

NZ$4,452

inc GST

Enquire about international pricing


This course starts anytime

(60 Credits)


Blended study

This is a mix of online learning & face-to-face sessions

Hamilton, Hamilton

It will take a total of 9 months

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Unlock these abilities


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Extract business value from data

Graduates can extract business value from multiple data sources to inform and drive better decisions.

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Present and visualise meaningful insights

Be able to visualise and present information clearly, aiding organisational decision-making.

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Use contemporary business analytics tools

Apply a range of modern business analytics software and tools for data analysis, reporting, and forecasting.

What You're Signing Up For

The Graduate Certificate in Business Analytics at the University of Waikato is a short, hands-on programme designed for graduates and professionals to develop skills in using modern analytics tools and transforming extensive business data into meaningful insights. Delivered flexibly, the course covers all aspects of business analytics, including data mining, analysis, visualisation, reporting, prediction, and real-world applications, leveraging leading software tools such as Google BigQuery, Excel, Power BI and Tableau. Graduates will be equipped to solve business problems using analytics in a variety of organisational settings.

Course Content

  • BUSAN205 Data Analytics with Business Applications: Introduction to data analytical methods and their application in business and economics.
  • BUSAN300 Management of Big Data: Big data fundamentals, management, cloud platforms, Python, Google BigQuery, SQL and NoSQL.
  • BUSAN301 Contemporary Tools for Business Analytics: Hands-on experience with tools like Google BigQuery, Microsoft BI, Tableau, Azure ML.
  • BUSAN302 Data-Informed Decision Making: Data wrangling, visualisation, machine learning techniques, prediction, R, DAX, Excel, SPSS.
  • Practical labs and real-world business scenarios.
  • Ethics in data collection and Māori data sovereignty.

What you need to know first

A bachelor's degree in any subject with at least a B-minus average in 300-level papers.

Admission possible based on relevant professional experience or academic merit.

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What sort of industry will this job lead to

  • Business

  • Analytics and Data Science

  • Management

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Future employment opportunities might be

  • Analytics & Insights Manager

  • Business Analyst / Consultant

  • Customer Insights Analyst

  • Data Analyst

  • Data Strategy Lead

  • Digital Marketing Specialist

  • HR Reporting & Analytics Manager

  • Market Researcher

  • Supply Chain Data & Insights Analyst