BEX2421 Harnessing big data for business and society
Faculty of Business and Economics
BEX2421 Harnessing big data for business and society is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2027 in Semester 2 at Caulfield. It has no prerequisites.
- Credit points
- 6
- Offered in 2027
- Semester 2
- Caulfield
- Assessment
- No exam
- 4 tasks
- Workload
- 144 hours
- per semester
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Requisites
Before BEX2421
Prohibitions
You can't enrol if you have passed any of these.
After BEX2421
No unit lists BEX2421 as a prerequisite in the 2027 handbook.
Enrolment rules
You must have completed five of the following units: ACB1020, ACB1120, ACC1100, ACC1001, ACF1100, ACF1001, ACX1100, ACX1001, BFB1001, BFF1001, BTB1010, BTC1110, BTF1010, BTX1010, ECB1101, ECC1000, ECF1100, ETB1100, ETC1000, ETF1100, ETX1100, MGB1010, MGC1010, MGF1010, MGX1010, MKB1700, MKC1200, MKF1120, to undertake this unit.
Equivalent units
The same content under another code. Only one of them counts.
Overview
Business and society are being fundamentally reshaped by major technological transitions. Key among these is the near-ubiquitous rise of digital business and state administrative operational processes which are producing more, and richer, data at an unprecedented rate. In this integrating unit, you will apply critical, creative, ethical, and analytical thinking to discover how ‘big data’ can be harnessed for the good of business and society at large. You will be challenged to examine the opportunities and risks that big data offers across a broad range of areas including finance, economics, business, education, health, justice and the environment.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Caulfield | On campus |
Assessment
- Quiz / Test20%
- Written15%
- Presentation25%
- Project40%
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
articulate key features of ‘big data’ versus traditional data, together with the opportunities and challenges that big data present to business and society
- 2
critically compare the strengths and weaknesses of various analytical approaches to big data sets, including artificial intelligence (AI), machine learning and natural language processing in the context of business and social science problems
- 3
understand and apply critical frameworks to ethical issues integral to big data and AI, with regard to rights, regulation and responsibilities
- 4
demonstrate a strong understanding of topical case studies in the application of big data to enhance business activity and solve social problems.
Workload and teaching
- Workshops36 hours
- Teaching approachActive learning
- Teaching approachProblem-based 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 engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
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 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.
Where it fits
BEX2421 is part of 1 area of study in the 2027 handbook.
Contacts
- Chief Examiners
- Dr Klaus Ackermann
Common questions
What are the prerequisites for BEX2421?
BEX2421 has no prerequisites, but enrolment rules apply.
When is BEX2421 offered?
In 2027, BEX2421 runs in Semester 2 at Caulfield.
How much work is BEX2421?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does BEX2421 have an exam?
No. BEX2421 has 4 assessment tasks and no exam.
Which majors and minors include BEX2421?
BEX2421 is part of Business analytics for economics.