BAN407 – Enterprise Architecture and Artificial Intelligence

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BAN407 – Enterprise Architecture and Artificial Intelligence

Unit code & Title BAN407 - Enterprise Architecture and Artificial Intelligence
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
  • ULO1 Describe foundational concepts of Enterprise Architecture and Artificial Intelligence and their relevance in contemporary organisations.
  • ULO2 Analyse and apply various EA frameworks, including TOGAF and Zachman, to align EA with organisational strategy.
  • ULO3 Integrate AI-driven insights into EA for process optimisation and data governance.
  • ULO4 Evaluate security, privacy, and ethical considerations associated with AI in EA.
  • ULO5 Employ machine learning and predictive analytics techniques to enhance strategic enterprise planning.
  • ULO6 Demonstrate skills in architecting AI-enhanced enterprise solutions for real-world applications.

This unit provides an in-depth exploration of the integration of Enterprise Architecture (EA) and Artificial Intelligence (AI) within a business intelligence framework. Students will engage with foundational concepts of EA and AI, exploring how these fields intersect to enhance organisational processes, strategic decision-making, and data management.

By examining a range of frameworks, such as TOGAF and Zachman, alongside practical AI applications, students will learn to architect resilient, future-ready enterprise systems. Through progressively structured topics, students will gain expertise in AI-driven business process optimization, data governance, security, ethical considerations, and predictive analytics in EA contexts.

This course leverages recent industry insights and research from leading textbooks, ensuring students remain informed of emerging trends, technologies, and challenges within the field. The project will provide hands-on experience in designing EA solutions enhanced by AI, reinforcing practical skills for strategic planning and enterprise management.

The unit is aligned with the following course learning outcome (CLO):

• CLO2: Apply systems thinking to analyse and design business systems for effective planning and strategy formulation.
• CLO3: Critically evaluate and apply advanced techniques in business process reengineering (BPR), software engineering, and enterprise architecture to optimise business operations and decision-making.

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

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