Deakin University
4 years full-time or part-time equivalent
This double degree combines business commerce knowledge with advanced analytics capabilities, preparing you to lead data-driven decision-making in modern organizations. Ideal for students seeking to blend commercial expertise with technical data analysis skills.
Students should have completed secondary education or equivalent qualifications. No specific prerequisites are mandated, though a foundation in mathematics and analytical thinking is beneficial. International students must meet English language proficiency requirements. Students may be required to undergo police checks, working with children checks, or other mandatory checks depending on work integrated learning placements or community-based components.
The Bachelor of Commerce component covers core business disciplines including Accounting for Decision Making, Economic Principles, Fundamentals of Finance, Business Analytics, Law for Commerce, Marketing Fundamentals, and Management. Students select one major from options including Accounting, Economics, Finance, Financial Planning, Human Resource Management, International Trade, Commercial Law, Business Analytics, or Marketing. The Bachelor of Business Analytics component includes core units in Introduction to Machine Learning for Business, Digital Business Analysis, Managing Data and Information, Cyber Security and Governance, Professional Ethics in the Digital Age, Business Intelligence and Data Warehousing, Predictive Analytics, Decision Analytics, Social Media Analytics, Strategic Supply Chain Management, Marketing Analytics, Project Management, and Artificial Intelligence for Business. Students complete a capstone Applied Business Project and one work integrated learning unit.
Deakin University is ranked #1 in Victoria for graduate employment and holds prestigious AACSB and EQUIS accreditations, attesting to quality, academic excellence, and innovation. The program is shaped by IT professionals from leading technology companies and government sectors, ensuring curriculum relevance to current industry trends. Strong industry links and focus on emerging technologies prepare graduates to influence decision-making with confidence in data-driven business environments.
Graduates are well-prepared for diverse career opportunities in data-driven business roles including business analysis, artificial intelligence specialization, business intelligence analysis, data architecture and engineering, and strategic management positions. The combination of commerce and analytics expertise positions graduates for leadership roles in financial services, technology companies, government agencies, and consulting firms. Professional recognition through multiple accrediting bodies (ACS, CA ANZ, CPA, IPA, ACCA, AMI, CFA) opens pathways to specialized certifications and advanced career progression.
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