LEO5301 Decision making for managers
Faculty of Business and Economics
LEO5301 Decision making for managers is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2025. It has no prerequisites.
- Credit points
- 6
- Offered in 2025
- Other periods
- Monash Online
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
This is the 2025 handbook entry. See the 2027 entry.
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Requisites
Before LEO5301
Prohibitions
You can't enrol if you have passed any of these.
After LEO5301
No unit lists LEO5301 as a prerequisite in the 2025 handbook.
Enrolment rules
You must be enrolled in a Monash Online course to undertake this unit.
Overview
Managers must make complex decisions to enable organisational success. Digital transformation and the ongoing emergence of game changing technologies, such as Generative AI, challenges managers to maintain currency in data management. Moreover, the abundance of data generated by organisations can be confronting for managers and particularly challenging when seeking to use data to optimise decision making. This unit is designed for forward-thinking managers who aspire to improve their data literacy so they can confidently engage with the challenges posed by data analytics now and in the future.
This unit introduces a data analytics cycle and a range of analytics tools for managers to harness the power of data. Specifically, this unit focusses on analytics tools for analysis, visualisation, ideation, and extension via generative AI. The unit also provides instruction on how these tools can be used to generate insights for the sense making, storytelling and envisioning required of future-focused leaders who engage managerial analytics.
Offerings in 2025
| Teaching period | Campus | Mode |
|---|---|---|
| Teaching period 5 | Monash Online | Mo |
Assessment
- Written30%
- Artefact40%
- Demonstration30%
Learning outcomes
When you finish this unit, you should be able to:
- 1
apply a data analytics cycle to inform and enhance organisational decision making
- 2
recognise opportunities and limitations of data analytics and how these can be managed for effective managerial decision making
- 3
appraise analytical tools in managerial analytics that aid in data analysis, visualisation, generative AI, sense-making, and storytelling to harness data effectively.
Workload and teaching
- Teaching approachResearch activities
- Teaching approachEnquiry-based learning
- Teaching approachActive learning
- Teaching approachCase-based teaching
- Teaching approachProblem-based learning
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 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.
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.
Contacts
- Chief Examiners
- Hao Chen
Common questions
What are the prerequisites for LEO5301?
LEO5301 has no prerequisites, but enrolment rules apply.
When is LEO5301 offered?
LEO5301 has no offerings listed in the 2025 handbook.
How much work is LEO5301?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does LEO5301 have an exam?
No. LEO5301 has 3 assessment tasks and no exam.