Deakin University
1.5 to 2 years full-time (or part-time equivalent)
Master of Business Analytics equips professionals to drive data-driven transformation and strategic insights across business functions. Ideal for those seeking to bridge the gap between data science and commercial strategy, this program combines technical expertise with managerial and analytical skills.
For 1.5-year entry (12 credit points): Bachelor degree in a related discipline (information systems, IT, computer science, mathematics, statistics) OR bachelor degree in any discipline plus 2+ years relevant work experience. For 2-year entry (16 credit points): Bachelor degree in any discipline. English language proficiency: IELTS 6.5 (minimum 6.0 per band) or equivalent from recognised English-speaking country. Selection based on academic merit, work experience, likelihood of success, and individual circumstances.
Core curriculum includes 11 mandatory units covering: Business Intelligence and Database Management, Value Creation with Data & AI, Descriptive Analytics and Visualisation, Predictive Analytics, Enterprise Data Management, Decision Modelling for Business Analytics, Machine Learning in Business, Advanced Artificial Intelligence for Business, Cyber Security Strategies, and Decision Analytics in Practice (Capstone). Students also select 1 credit point from course electives (People Analytics, Marketing Analytics, Analytics for Security and Privacy) and 4 credit points from open electives including postgraduate business specialisations in artificial intelligence, digital finance, digital transformation, information systems, marketing technology, project management, and supply chain management.
Deakin University is recognised as a leader in analytics education, offering Victoria's first and most established business analytics program. The university maintains strong industry partnerships with IBM, Microsoft, Deloitte and PwC, ensuring curriculum relevance and practical learning opportunities. Deakin's Master of Business Analytics is accredited by the Australian Computer Society (ACS) and Deakin Business School holds both AACSB and EQUIS accreditations, demonstrating commitment to quality and ensuring graduates are employable worldwide.
Graduates are equipped to lead data-driven transformation across sectors including finance, retail, health, telecommunications, mining, government, and technology. Career opportunities include: business intelligence analyst, artificial intelligence engineer, business data scientist, analytics project manager, data analyst, market research analyst, customer experience analyst, risk and compliance analyst, AI governance consultant, business intelligence developer, data modeller, and data engineer. Demand for skilled business analytics professionals continues to grow as employers seek talent bridging data science and commercial strategy.
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