BEX5403 Start-up simulation: Data-driven decision making for success
Faculty of Business and Economics
BEX5403 Start-up simulation: Data-driven decision making for success is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2027 in Semester 1 and Semester 2 at Caulfield. It has no prerequisites.
- Credit points
- 6
- Offered in 2027
- Semester 1, Semester 2
- Caulfield
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
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Overview
In the dynamic landscape of modern entrepreneurship, data has risen to become an indispensable asset for startups. Your ability to grasp, dissect, and extract actionable insights from data can be the ultimate determinant of a startup's prosperity or downfall. This post-graduate unit presents an unparalleled opportunity for you to equip yourself with essential tools and knowledge required to harness the potential of data. By leveraging technology and simulation, you will uncover the means to propel startup growth and ensure that more effective decisions can be made in real time through data-driven strategies.
Throughout an intensive 12-week journey, you will immerse yourself in the domain of data-driven decisions and their pivotal role in enhancing startup performance. You will delve into how data-driven insights lay the foundation for well-informed decision-making, bridging the gap between uncertainty and action. Armed with contemporary techniques, cutting-edge tools, and proven methodologies, you will gain the capability to steer startups toward a trajectory of success via real world simulation. This unit takes you deep into the realm of data for start-ups, its significance in startup performance, and empowers you to master the art of crafting data-driven decisions capable of setting startups on the course to success.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | On campus |
| Second semester | Caulfield | On campus |
Assessment
- Exercise30%
- Quiz / Test30%
- Presentation40%
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
understand the role and the importance of data in start-ups
- 2
be equipped with foundational data decision making tools
- 3
become competent in tracking and measuring start-up growth & success
- 4
be able to perform predictive analytics for proactive decision making
- 5
carry out ethical data handling and decision making
- 6
effectively communicate a start-up's data story with stakeholders.
Workload and teaching
- Workshops36 hours
- Assessments-
- Teaching approachIndustry-based learning
- Teaching approachSimulation or virtual practice
- 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 provides you with the opportunity to engage in industry-based learning to incorporate professional and industry experience into your studies.
This unit allows you to engage in guided, immersive experiences to develop relevant skills, knowledge and attitudes through simulation or virtual practice.
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.
Learning resources
Technology resources
Access to databox platform
Where it fits
BEX5403 is part of 1 area of study in the 2027 handbook.
Contacts
- Chief Examiners
- Dr Anh Nguyen
Common questions
What are the prerequisites for BEX5403?
BEX5403 has no prerequisites.
When is BEX5403 offered?
In 2027, BEX5403 runs in Semester 1 and Semester 2 at Caulfield.
How much work is BEX5403?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does BEX5403 have an exam?
No. BEX5403 has 3 assessment tasks and no exam.
Which majors and minors include BEX5403?
BEX5403 is part of Entrepreneurship.