Graduate Certificate in Business Analytics
Get the technical know-how to use powerful analytics tools and transform 'big data' into meaningful business insights with this short, highly practical qualification.
60 points, 9 months+ (part-time, FLEXI study)
Hamilton, Online
February (A Trimester) or July (B Trimester)
Why study the Graduate Certificate in Business Analytics?
Business analytics enables organisations to bring data to life so they can make better informed business, financial, and marketing decisions to guide their future.
This specialised course is designed for people who want to work in roles that leverage data to create value and solve business problems, then communicate their recommendations to a company's stakeholders.
Learn how to use powerful 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, data cleaning/wrangling, data analysis and visualisation, prediction and querying, reporting and forecasting. And you'll get exposure to business analytics tools such as Google BigQuery, Excel, and Business Intelligence (Power BI and Tableau).
Career Opportunities
- 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
60 points, 9 months+ (part-time, FLEXI study)
Hamilton, Online
February (A Trimester) or July (B Trimester)
Degree information
Select a tile for more information. A bachelor's degree in any subject, with at least a B-minus grade average across the 300-level papers.
However, you can still be considered for admission to the GradCertBA based on professional experience or academic merit.
Please speak to one of our advisors in the Management Student Centre, email msc@waikato.ac.nz
Estimated fees
$3,871 (60 Points) per year
Domestic tuition fees
Approximate annual tuition fees and costs for domestic students enrolled in one year of full-time study.
Domestic tuition costsScholarships
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Relevant as of 30 October 2024.
All amounts are in New Zealand Dollars (NZD). Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment. Please see the Table of Fees and Charges for more information. You will be sent an enrolment agreement which will confirm your fees. View information about fees free study.
Graduates will be able to:
- · Extract business value from multiple data sources.
- · Present information in a meaningful way so as to aid business decision-making.
- · Use a range of contemporary business analytical tools.
- · Articulate the value of business analytics to non-technical specialists
- · Demonstrate the specific skills and competencies expected of a business analytics professional.
- · Be respectful of Māori rights and interests in data; articulate the importance of relevant protocols associated with Māori data sovereignty and governance, and other relevant and important principles.
- · Demonstrate creative problem-solving skills, including the ability to observe, diagnose, think critically and apply a systems or holistic approach to a problem.
- · Synthesise knowledge from academic disciplines and practice to achieve a broad perspective on the multitude of factors – internal and external – that impact on the organisation.
- · Plan their work to meet time and structural constraints, be adaptable to change; progressive; innovative; and able to identify solutions and opportunities that add value to an organisation.
- · Engage real-world problems in a theoretically informed and questioning manner.
- · Be skilled and persistent at accessing information through a variety of media; evaluate its relevance to a situation or topic.
Why study at Waikato?
Top 1% globally
Waikato Management School sits in the top 1% of business schools globally thanks to our prestigious Triple Crown Accreditation (EQUIS, AMBA and AACSB), which we've held since 2005.
High-tech futures
Hamilton and Tauranga are also home to a growing cluster of biotechnology, IT, aviation, manufacturing and logistics companies.
Study online or FLEXI mode
This course is delivered in a FLEXI teaching format, so your learning can be face-to-face on campus in Hamilton, or completely online at home, giving you lots of flexibility to choose. Face-to-face learning is preferable but not essential.
Course content
Who is this course suitable for?
The GradCertBA is ideal for anyone who wishes to gain a mastery of business analytics fundamentals and find work as a business analyst in a wide range of sectors, such as marketing, supply chain, HR and strategic management.
It is also suitable for people already working in roles that involve data analysis, but who lack any relevant professional training in this field.
By the end of the course, you'll understand how to leverage the greatest business value from big data, and use business analytics to solve common organisational problems.
Students will also discuss ethical concerns around the collection and storage of data in New Zealand, and the importance of respecting protocols related to Māori data rights.
We have developed this course after consulting with business leaders in New Zealand and Australia to ensure the content is up-to-date and relevant to industry needs.
What the programme is like:
This course is delivered in a FLEXI teaching format, meaning that your learning can be done both face-to-face on campus in Hamilton, or completely online at home, giving you lots of flexibility to choose. Face-to-face learning is preferable but not essential.
Two papers are offered each trimester, so you can study part-time for 9 months (March to November, or November to July), or over an even longer period of time if you wish.
The four compulsory papers can be completed part-time over 9 months or longer; equivalent to 600 learning hours in total.
Course content:
- BUSAN205 Data Analytics with Business Applications
This paper introduces data analytical methods and illustrates how data can be used to produce better-informed business decisions - BUSAN300 Management of Big Data
Gain a broad understanding of complex datasets known as 'big data', and develop your skills in using big data tools such as Python, Google BigQuery, SQL and NoSQL. Carry out basic data modelling and design, and learn how to manage data across cloud platforms. - BUSAN301 Contemporary Tools for Business Analytics
Gain hands-on experience in using a range of business analytics tools and techniques, with a focus on web-based tools such as Google BigQuery, Microsoft BI, Tableau, and Microsoft Azure ML. - BUSAN302 Data-Informed Decision-Making
Learn how to extra the maximum value from business data to increase decision-making success. Students will develop an analytics mindset to aid them in detecting trends and patterns, with a focus on visualisation and judgement theory. Through lab exercises, students will develop skills in quantitative and statistical tools such as DAX, Excel and SPSS.
What our students are saying
The breadth of topics were always relevant to business; and the mix of individual work, group work, presentations and tests ensured you gained a thorough understanding of every topic.Richard KinzettMaster of Business Administration
