Business Intelligence Certificate in Creating Value with AI-Powered Analytics and Visualisation (Micro-credential)
Future Skills Academy Limited
Decision Support Systems
Check out Fees Free to see whether you are eligible for a year of fees-free study or two years industry training. Contact your provider to confirm your study options meet the criteria.
Graduates of any Bachelor degree or above;or
- any level 6 diploma; or
- any level 5 diploma plus 1 year of work experience in a role related to business analysis / intelligence; or
- any level 4 diploma with at least two years of work experience in a role related to business analysis / intelligence
Domestic applicants require the following:
1. A New Zealand or Australian citizen or permanent resident and aged 18 years or over;
International applicants require following:
1. Applicants must have the legal right to study or work in New Zealand.
2. If English is not your first language, evidence of competency in English is required:
a. Achievement of NCEA Level 3 and met New Zealand University requirements; OR
b. English proficiency of an IELTS score of 6 with no band less than 5.5 or Pearson Test of English score of 50 with no band score lower than 42 AND English proficiency outcome needs to have been achieved in the last two years before enrolment and in one sitting.
Entry by special or discretionary admission: - Be 20 years old or above when your programme starts; AND - Provide sufficient evidence of aptitude or appropriate work experience that would indicate a successful outcome in the qualification
About the course
What can I expect out of this qualification?
To enable students to build models and data products in a data-driven environment. Students will be able to apply their knowledge and technical and interpersonal skills to build advanced models for prediction, and visualising data to support or improve business processes. This micro-credential is designed for those who aim to expand their knowledge and skills in automating the data acquisition and manipulation processes and applying various machine learning techniques to build advanced models and data products (e.g. cloud-based prediction tool or an advanced data dashboard) for complex problems.
Examples of related scholarships
Rural Women New Zealand Tertiary Bursaries
Rural Women New Zealand
Rural Women New Zealand Text Book Grant for Tertiary Students
Rural Women New Zealand
This information comes from Generosity New Zealand. For more scholarships, search their givME database (formerly called BreakOut) via your college, university or local library website.
NZQA supplies course information based on material from the provider.
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