Information Technology

Business Intelligence: Data for Decision Making

INTERESTED IN LEVERAGING DATA TO DRIVE BUSINESS SUCCESS?

 

Learn how to transform raw data to give companies a competitive edge with our project-based programmes. This micro-credential is perfect for professionals keen to upskill or change careers, graduates seeking better job prospects, or companies wanting to develop their staff to boost productivity. Study online from anywhere in the country. 

Business Intelligence: Data for Decision Making
Course Summary
Level
6
Credits
30
Fees

$200

Campus
Online
Duration
20 weeks part-time
Who Can Join
18 years & above
NZ Citizens/ Resident Visa holders
Highlights
  • Work on real-world projects driven by industry
  • Enhance your company's productivity
  • Boost your CV with in-demand skills
  • Upskill quickly without having to take time off work
  • Study from anywhere in New Zealand
Programme Information

Employment outlook

Business Intelligence Analysts play a crucial part in the future success of companies. The demand for Business Intelligence Analysts is expected to keep growing to meet the needs of firms and transform the raw data they hold. 

Annual demand for IT professionals in New Zealand is 4,000 –5,000 professionals. It is estimated that there will be a demand for around 10,000 new digitally skilled employees in the next two years, while the largest growth will be in data analytics. (The New Zealand Digital Skills Forum, 2021).

Better pay

The average business intelligence salary in New Zealand is $113,400 per year. Entry-level positions start at $103,300 per year, while most experienced workers make up to $132,700 per year.

The average data analyst salary in New Zealand is $83,700 per year. Entry-level positions start at $70,400 per year, while most experienced workers make up to $116,800 per year.

The programme is for those who want to build on their existing qualification, gain experience in business intelligence and data analytics, or be instrumental in different organisations.

You must be a New Zealand or Australian citizen, a permanent resident, or a resident and aged 18 years or over to enrol in these courses.

Applicants for Data for Decision Making (Level 6) must:

  • Have completed a degree at bachelor level or above; or
  • Have completed any Level 5 diploma and have at least one year of work experience in a role related to business analysis or intelligence; or
  • Have completed any Level 4 diploma and have at least two years of work experience in a role related to business analysis or intelligence.

We recommend having basic computer skills and experience working with spreadsheet tools such as Microsoft Excel. 

Not sure if you’re eligible?

We can talk to applicants and assess their knowledge and experience and determine which course is best for them. If your application for one micro-credential is unsuccessful, you may be invited to apply for another, or to apply again after you have met the entry requirements. 

Special Admission and Discretionary Admission are available for applicants aged 20 and over who do not meet the general admission requirements. Contact our enrolments team to discuss your situation.

You will learn to analyse and evaluate the applicability of data-driven solutions for business contexts considering technical, ethical, and cultural aspects, and to apply exploratory data analysis methods for revealing insights related to a business context. You will learn to visualise and communicate the results to inform decisions in organisations.

For the part-time programme, you will need to spend 15 hours per week.

About half of these hours will be spent in the classroom (online) and half will be spent studying independently.

This micro-credential has a total of 300 learning hours which comprise virtual lessons, self-study, mentoring with industry professionals, interactive activities, and project work.

You will work under the supervision and guidance of facilitators for your virtual interactive activities and project work. The number of hours for these tasks will gradually increase over the term so you can practise and apply what you have learned to your project work.

*This is an indicative timetable only.

You will attend online tutorials each week where you can ask your lecturers any questions about your assessments and learning.

What are micro-credentials?

Micro-credentials are bite-sized qualifications focused on skill development. They allow you to develop real-world skills from industry experts and gain the knowledge needed to keep up in a rapidly changing workplace.

What is Business Intelligence or BI?

Business Intelligence involves leveraging data to optimize a company’s performance and achieve success. It is a way of presenting valuable and insightful information to firms to help them boost productivity. This data mining in an ever-changing tech world creates a comprehensive view of a company and helps the business reach data and insights led decisions quickly.

Will this qualification be recognised in the IT sector where I will work?

Yes, this qualification is NZQA approved and recognised by New Zealand employers.  

What is the application process?

You can find an easy step-by-step¯guide to applying and enrolling¯in a programme.

What if I miss some classes?

You will have access to all the learning material on our learning management system, Moodle however we strongly encourage you to attend most of your classes. Every learning session is essential to your learning and attendance is important.

Will I be able to manage my time?

We acknowledge there may be times when it becomes difficult to juggle your priorities. If you face any struggles, our supportive lecturers and Student Services team are here to help you.

Success stories

"The skills and knowledge from the course are helpful for me in handling grade distribution and creating pivot tables and charts, which are parts of my daily work."

Huyen Vu Business Intelligence
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FS IT Success story Huyen 758x444 v2 v2

“If you are looking for career growth or a learning challenge, this is a great opportunity.”

Ramon Zamorano Information Technology
Read the full story
Ramon