Academic structure, teaching phases, and curriculum for B.Com at University of Queensland.

Bachelor of Commerce
Teaching phases
Commerce foundations
Students build foundations in commerce and develop analytical and problem-solving skills.
Major and electives
Majors include accounting, business analytics, business information systems and finance, with elective flexibility subject to requirements.
Tuition fee and hostel estimate
Applying to University of Queensland?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Queensland. The consultation is free.
Academic structure, teaching phases, and curriculum for B.Com at University of Queensland.

Bachelor of Commerce
Teaching phases
Commerce foundations
Students build foundations in commerce and develop analytical and problem-solving skills.
Major and electives
Majors include accounting, business analytics, business information systems and finance, with elective flexibility subject to requirements.
Tuition fee and hostel estimate
Applying to University of Queensland?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Queensland. The consultation is free.
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
Practical learning is award-specific. Commerce includes major and elective choices with industry-informed learning; the LLB includes placement courses and Pro Bono Centre opportunities; Data Science uses data analytics, machine learning and research experience; the MBA uses applied business learning; and the PhD is built around supervised original research. None of these pathways guarantees employment, placement or professional registration.
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
Practical learning is award-specific. Commerce includes major and elective choices with industry-informed learning; the LLB includes placement courses and Pro Bono Centre opportunities; Data Science uses data analytics, machine learning and research experience; the MBA uses applied business learning; and the PhD is built around supervised original research. None of these pathways guarantees employment, placement or professional registration.