Analytics Institute of Australia

Analytics Institute of Australia delivers University Higher Education in analytics and business transformation from its Melbourne campus, with TEQSA registration (PRV 14346) and CRICOS code 04059D.

• Three accredited degree programs: Bachelor of Analytics, Bachelor of Business Transformation, and Master of Business Analytics, spanning approximately 12-24 study hours per week with facilitated instruction and self-directed learning.
• Bachelor of Analytics graduates receive SAS Certification and Credly Badge alongside their degree, recognised credentials in data analytics and business intelligence.
• Curriculum covers analytics tools, data modelling, business process analysis, and organisational transformation, with capstone work placement units requiring 120 hours of practical application.
• Flexible online and on campus study supports working professionals and international students from India, Thailand, Nepal, Vietnam, Singapore, Malaysia, and the United Arab Emirates.

Best for: Organisations developing analytics and transformation capabilities through formal qualifications, and professionals pursuing recognised higher education degrees in analytics and organisational change.

Analytics Institute of Australia provides AI, Digital and ICT Training through accredited undergraduate and postgraduate programs focused on data analytics, business intelligence, and digital transformation tools.

• Curricula cover hands-on experience with analytics tools, data modelling techniques, and digital transformation methodologies applicable across industries including HR, marketing, logistics, and customer experience.
• Bachelor of Analytics qualifications include SAS Certification, recognised industry credentials in data analytics and business intelligence systems.
• Programs develop competencies in data gathering, interpretation, visualisation, and communication of insights for business strategy and organisational transformation.

Best for: Organisations and individuals seeking formal training in data analytics, business intelligence, and digital transformation with industry recognised qualifications.