LEO5303 Data analytics and insights generation
Faculty of Business and Economics
LEO5303 Data analytics and insights generation is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2026. It has no prerequisites.
- Credit points
- 6
- Offered in 2026
- Other periods
- Monash Online
- Assessment
- No exam
- 2 tasks
- Workload
- 144 hours
- per semester
This is the 2026 handbook entry. See the 2027 entry.
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Requisites
Before LEO5303
No prerequisites or corequisites besides the enrolment rules below.
After LEO5303
No unit lists LEO5303 as a prerequisite in the 2026 handbook.
Enrolment rules
You must be enrolled in a Monash Online course to undertake this unit.
Overview
Business intelligence techniques empower today's managers to adopt a 'detective' mindset as they strive to make use of vast amounts of data. Using commonly available tools such as Power BI and Generative AI, managers can apply a range of powerful analytical techniques to support decision making and develop valuable insights. To produce such insights that address real-world challenges, data-fluent managers need basic skills in how to use these tools across the data analytics cycle, particularly within the processes of data identification, data exploration and data analysis.
This unit equips managers with an understanding of two of the most relevant and commonly used managerial analytics tools. Specifically, the unit highlights the use of Power BI and Generative AI to produce and communicate analytical outputs. These tools can be used throughout the data analytics life cycle. This unit will focus on their use for data identification, exploration, and analysis, providing data-fluent managers with the ability to create their own findings and communicate the insights they generate.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| Teaching period 1 | Monash Online | Mo |
| Teaching period 5 | Monash Online | Mo |
Assessment
- Written50%
- Written50%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
use Power BI to engage with datasets spanning various data sources, data types, and data structures
- 2
demonstrate the ability to analyse data using Power BI and Generative AI resulting in meaningful findings
- 3
apply a detective mindset to interrogate datasets and generate actionable insights
- 4
demonstrate the ability to communicate findings and insights derived from analyses.
Workload and teaching
- Teaching approachResearch activities
- Teaching approachEnquiry-based learning
- Teaching approachProblem-based learning
- Teaching approachActive learning
- Teaching approachCase-based teaching
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit allows you to develop their research skills by engaging in structured inquiry using a systematic approach and discipline-specific methodologies.
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.
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.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
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.
Contacts
- Chief Examiners
- Hao Chen
Common questions
What are the prerequisites for LEO5303?
LEO5303 has no prerequisites, but enrolment rules apply.
When is LEO5303 offered?
LEO5303 has no offerings listed in the 2026 handbook.
How much work is LEO5303?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does LEO5303 have an exam?
No. LEO5303 has 2 assessment tasks and no exam.