LEO5313 · AI applications in business analytics

This unit equips you with the knowledge and practical skills required to leverage generative AI and AI agents within modern business environments. You will learn how to design effective prompts to achieve targeted business outcomes, develop AI agent skills that automate tasks and streamline business processes, and construct AI-driven analytics workflows for data analysis and reporting. The unit also explores the ethical, governance, and organisational implications of deploying AI agents in corporate settings. You will learn to critically assess risks, compliance requirements, and responsible AI practices. Through hands-on activities and real-world business applications, you will gain the capability to design, implement, and evaluate AI-powered solutions that enhance organisational decision-making and operational efficiency.

The Handbook does not list a final examination among the assessment items, but there may still be one.

1. 1 - Artefact

   Artefact

   30%

2. 2 - Artefact

   Artefact

   35%

3. 3 - Demonstration

   Demonstration

   35%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

1. design effective prompts to achieve specific outcomes using generative AI in global business contexts;
2. create agent skills to automate tasks and business processes;
3. construct AI agent-driven analytics workflow solutions to support business data analysis and reporting purposes;
4. evaluate the ethical and governance implications of AI agent deployment within corporate environments.

Active learning - This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities. Enquiry-based learning - This unit engages you in enquiry-based learning, where you will be encouraged to use your own knowledge to develop and engage in a process of enquiry, study and research to identify areas to be investigated and an approach to doing so. Case-based teaching - This unit includes case-based teaching, where you apply your knowledge and engage in analytical and reflective thinking to solve complex contextual scenarios. Activities are often designed so that there is not one clear answer, but you need to work together to examine, analyse and make decisions to resolve the situation. Research activities - This unit allows you to develop your research skills by engaging in structured inquiry using a systematic approach and discipline-specific methodologies. Problem-based learning - This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.

No workload detail published.

Credit points

6

Level

Level 5

Faculty

Monash Business School Online

School

Faculty of Business and Economics

Student contribution band

Band 2

Study abroad

Not available

Handbook version

2027.01

These are students' own experiences, not official rules. Go by the Handbook.