| Unit code & Title | BAN107 - Software Engineering |
| Pre-requisite | Not Applicable |
| Delivery modes | On-campus; Online; |
| Credit points | 10 |
| Study commitment | Average of 150 hours of teaching, learning and assessment over the trimester. |
| Scheduled learning (On-campus) | 2 × 3 hours on-campus seminar and tutorial weekly (for block mode) |
| Scheduled learning (AIA Online) | Recorded contents + 2 × 3 hour online seminar and tutorial weekly |
| Learning Outcomes |
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This unit equips students with the essential skills and knowledge in software engineering, programming, testing, and validation vital for effective business analytics solutions. Students will delve into various software development methodologies and practices tailored to analytics projects. They will learn to design, implement, and rigorously test software solutions, emphasising efficiency, reliability, and maintainability. Through a blend of theoretical concepts and practical hands-on exercises, students will explore the entire software development lifecycle, from requirements analysis to deployment. Emphasis will be placed on understanding the unique challenges and opportunities presented by analytics projects. By the end of the unit, students will possess the technical proficiency and critical thinking abilities necessary to develop robust software solutions tailored to business analytics requirements.
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit Current student page
Refer to Academic Calendar
