Data Visualisation & Business Intelligence (Online)
Unlock the power of data for strategic impact Apply NowTalk to an AdvisorData Visualisation & Business Intelligence (Online)
Unlock the power of data for strategic impact Apply NowTalk to an AdvisorSCIENCE
Data Visualisation & Business Intelligence (BI)
Ready to harness the power of data for strategic impact?
The Data Visualisation and Business Intelligence micro-credential from the University of Auckland equips you to transform raw data into insights that drive key business decisions, positioning you as an essential asset in today’s data-centric world.
Recommended Background
No formal requirements, but basic numeral literacy is expected. University Entrance (or equivalent) required for admission.
Duration
8 weeks
Next Start Dates
2025
Quarter Three – 7th July
Quarter Four – 29th Sept
Domestic Fees
$960*
Why is this micro-credential right for you?
The University of Auckland’s Online Data Visualisation and Business Intelligence micro-credential is crafted for professionals eager to deepen their analytical capabilities or pivot into data-centric roles. This course offers a robust foundation in data visualisation principles and hands-on experience with industry-standard tools, making it ideal for anyone looking to enhance decision-making processes within their organisation.
You’ll master essential tools, including Python, SQL, and PowerBI, and gain the skills to tackle complex business problems with data-driven solutions. By learning to create impactful dashboards and derive actionable insights from data, you’ll be prepared to influence strategic decisions in a variety of sectors.
Upon completion, you’ll not only understand the data visualisation lifecycle but also be able to transform raw data into meaningful visual narratives that address critical business needs.
Unlock the potential of your data—apply today and start making smarter, insight-driven decisions.
What are the key benefits?
1. Practical Data-Driven Decision-Making
Gain the skills to turn raw data into actionable insights and solve business challenges with strategic, data-backed solutions.
2. Mastery of Industry Tools
Get hands-on experience with Python, SQL, and PowerBI to build analytics pipelines and apply them immediately to real-world scenarios.
3. Flexible, Career-Focused Learning
Learn online at your own pace, balancing professional and personal commitments while applying what you learn to practical business problems and gaining career-ready skills.
4. Enhance Career Prospects in Analytics
Prepare for success in data-driven roles by mastering data interpretation, visualisation, and stakeholder communication to drive business impact.
5. Insightful, Strategic Approach to Visual Communication
Develop a nuanced understanding of how to effectively communicate complex data insights to stakeholders, enhancing your value in roles that require analytical precision and visual clarity.
Course Structure*
Course |
Description |
| Different ways to think about data | Introduces the basics of data and how different perspectives can change how we perceive data. |
| Data visualisation 101 |
Investigates the fundamentals of data visualisations. What are some types of data visualisations, why do we use data visualisations, how do we perceive visualisations, and how do we create effective visualisations. |
| Different types of data visualisation |
A further deep dive into the different types of visualisations and what information and messages they convey to the receivers. |
|
The fundamentals of PowerBI |
Introduces the basics of PowerBI and how to work with PowerBI to produce data visualisations. |
| Working with Python for scripting |
Introduces the fundamentals of Python language and scripting for data analysis and wrangling |
| Database 101 |
Investigates the fundamentals of databases. What are some of the commonly used databases, when to select which database to use as part of the analysis process, and how to effectively utilise databases to produce useful visualisations. |
| Querying a database |
A deeper discussion into how to work with databases in order to query and gather data for further data analysis and visualisations. |
| Statistical modeling |
Introduces the fundamentals of statistical modeling and the various state-of-the-art strategies commonly used in creating effective visualisations. |
Programme Structure*
Different Ways to Think About Data
Introduces the basics of data and how different perspectives can change how we perceive data.
Data Visualisation 101
A further deep dive into the different types of visualisations and what information and messages they convey to the receivers.
The Fundamentals of PowerBI
Introduces the basics of PowerBI and how to work with PowerBI to produce data visualisations.
Working with Python for Scripting
Introduces the fundamentals of Python language and scripting for data analysis and wrangling.
Database 101
Investigates the fundamentals of databases. What are some of the commonly used databases, when to select which database to use as part of the analysis process, and how to effectively utilise databases to produce useful visualisations.
Querying a Database
A deeper discussion into how to work with databases in order to query and gather data for further data analysis and visualisations.
Statistical Modeling
Introduces the fundamentals of statistical modeling and the various state-of-the-art strategies commonly used in creating effective visualisations.
*Subject to change
*Our Programme Advisors will provide all official programme information, including regulations about entry, enrolment, course fees, examinations and requirements for degrees, diplomas and certificates as per the University Calendar. Courses are paid per Semester. Fees are set in advance of each calendar year and will be updated on this website. Fees are inclusive of 15% GST, but do not include the Student Services Fee, course books, travel and health insurance, or living costs. Amounts shown are indicative only. In addition to the tuition fees, there is a Student Services Fee of $4.44 per point (online). Fees will be confirmed upon completion of enrolment into courses
Frequently Asked Questions about this micro-credential
Application FAQs
What are the entry requirements? For admission to this micro-credential you must meet the requirements to study at a New Zealand University (e.g. through University Entrance or an alternative entrance pathway).
What is the date for the next intake? The next intake dates are listed at the top of the page.
Is the course fee a one-off lump sum? Yes, the course fee is a one-off sum of $960 for domestic students.
Can I pay for my micro-credential through StudyLink? Unfortunately, Student Loan (through StudyLink) cannot be used to pay for a micro-credential.
Studying FAQs
Can I study the course in my own time? Is it suitable for those working full-time? Yes. You can study at a time that suits you (within the allocated course dates). University of Auckland Online courses are designed for working professionals. They are flexible yet structured to help you gain the knowledge in the time you have.
How is the course structured? The course will run over 8 weeks, and will comprise of weekly modules, essentially 1 module per week.
Assessment FAQs
How will I be assessed? Learners will be assessed through a combination of activities that address the learning objectives from each of the modules in the course. These will comprise knowledge check quizzes and a final project.
Benefits FAQs
Does the course enable me to take further study at the University? All our micro-credentials are credit bearing, so that you can progress your studies further towards a degree qualification. Please note, credits will need to be relevant to the programme you wish to study and satisfy the programme’s specific entry requirements. Credit for this micro-credential is awarded at Level 7 on the New Zealand Qualifications and Credentials Framework.
How many course credits will I attain upon completion of the course? Upon completion of the course, you will be awarded with 15 credit points from the University of Auckland at Level 7 on the New Zealand Qualifications and Credentials Framework.
Do I get a certificate at the end? Will it reflect ‘online micro-credential’? Upon successful completion of the course, you will be issued with a digital badge from the University of Auckland which you can share across your digital profiles like LinkedIn.
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