Map NZ Map World

Business Analytics

Business analytics enables modern organisations to use data so they can make better informed business, financial, and marketing decisions to guide their future.

Business Analytics is available as a Minor undergraduate subject for any bachelor's degree, or you can take it as a specialist subject for the Graduate Certificate in Business Analytics.

In this subject, you will learn how to use powerful analytics tools to extract and analyse 'big data' from a wide range of sources, visualise key trends and patterns, and transform complex datasets into meaningful business insights.

Students will work on real-world scenarios while developing their skills in data scraping/mining, aggregation, data cleaning/wrangling, data analysis and visualisation, prediction and querying, reporting and forecasting.

You'll also get exposure to business analytics tools such as Google BigQuery, Excel, and Business Intelligence (Power BI and Tableau).

Business analytics students will understand how to leverage the greatest business value from big data, and use business analytics to solve common organisational problems.

This subject also considers ethical concerns around the collection and storage of data in New Zealand, and the importance of respecting protocols related to Māori data rights.

With the explosion of data collection tools and methods, professionals with skills in data analytics play a vital role for successful enterprises.

Learn from the best

You'll be studying at Waikato Management School, which is ranked #1 in New Zealand and in the world's top 125 universities for Business & Economics (Times Higher Education World University Subject Rankings 2022).

We have developed the papers for this subject after consulting with business leaders in New Zealand and Australia to ensure the content is  up-to-date and relevant to industry needs.

Waikato Management School is also internationally recognised with Triple Crown Accreditation (AACSB, EQUIS and AMBA), placing it in the top 1% of all business schools globally.

Apply to enrol

Key information

Study Location:Hamilton
Area of Study:

Study Business Analytics in these qualifications

Study Business Analytics as a specialisation of

Career opportunities

  • Analytics & Insights Manager
  • Business Analyst
  • Business Intelligence Specialist
  • Customer Insights Analyst
  • Data Wrangler
  • Data Strategy Lead
  • Data Analytics & Visualisation Specialist
  • Digital Marketing Specialist
  • Enterprise Data & Analytics Specialist
  • HR Reporting & Analytics Manager
  • Market Research Analyst
  • Performance & Insights Analyst
  • Portfolio Analyst
  • Strategy Managing Consultant
  • Supply Chain Data & Insights Analyst

100 Level

Code Paper Title Points Occurrence / Location
CSMAX101The World of Data15.024B (Hamilton)
This paper introduces students to tools used in analysing datasets, focusing on health science applications and publicly available data on New Zealand. Students will learn how to use these tools to generate the appropriate results and be able to critically evaluate results presented in the media as well as scientific articles. Stud...
DIGIB101The World of Digital Business15.024B (Hamilton), 24B (Hamilton Waikato College), 24C (Hamilton Waikato College) & 24VB (National Economics University, Vietnam)
Information and communications technologies are fundamentally changing business operations. This paper introduces all aspects associated with the ever-evolving field of digital business.

200 Level

Code Paper Title Points Occurrence / Location
BUSAN205Data Analytics with Business Applications15.024A (Hamilton), 24B (Hamilton), 24B (Tauranga), 24VA (National Economics University, Vietnam) & 24X (Zhejiang University City College, Hangzhou China)
This paper introduces various data analytical methods and illustrates their business and economics applications, showing how to use data to communicate more convincingly and to produce better-informed business decisions.
MRKTG205Marketing Analytics and Insights15.024A (Hamilton) & 24A (Tauranga)
This paper will introduce students to the cleaning, management, manipulation, visualisation and analysis of primary and secondary marketing data. Students will learn to apply appropriate analytical techniques required for marketing careers, and to interpret results of analyses for applied decision-making purposes.

300 Level

Code Paper Title Points Occurrence / Location
BUSAN300Management of Big Data15.024B (Hamilton)
This paper addresses the key issues associated with the management of big data addressing the what, when, and how questions when faced with complex data sets unsuitable for traditional data processing applications.
BUSAN301Contemporary Tools for Business Analytics15.024A (Hamilton)
In this paper students gain hands-on experience in using a range of business analytics tools and techniques, with a particular focus on web-based software tools.
BUSAN302Data-Informed Decision Making15.024B (Hamilton)
This paper further develops students' data analytics mindset and builds competencies in quantitative analysis techniques. It focuses on data wrangling, explorations, visualisation and machine learning techniques. Students will utilise R to visualise data, detect trends and patterns, and make data-informed inferences and prediction...

500 Level

Code Paper Title Points Occurrence / Location
BUSAN543Applied Business Analytics30.024B (Hamilton) & 24B (Online)
This paper enables students to understand applied business analytics including data management and analytics tools, develop critical thinking skills, and apply these to various business contexts. By the end of this paper students will understand the role of analytics to solve real-world problems.

Scholarships and prizes

New to Waikato? The International Excellence Scholarship is worth up to $10,000.

Visit our Scholarship Finder for information about possible scholarships

Find your scholarship


Management Student Centre (MSC)

Location: MSB.1.50, Waikato Management School, Hillcrest Road, University of Waikato, Hamilton
Phone: +64 838 4303
Email: [email protected]
Opening hours: 8.30am - 5.00pm Monday to Friday