Availabilities:
| Location | Domestic | International |
|---|---|---|
| Gold Coast | ||
| Lismore | ||
| Melbourne | N/A | |
| Online | ||
| Perth | N/A | |
| Sydney | N/A |
Unit description
Provides students with the necessary knowledge and skills to effectively use business analytics to support decision making in the context of ‘big data’ as a strategic resource. As a ‘data-driven’ unit, students will be exposed to a variety of analytical techniques using software applications.
Unit content
Topic 1: Introduction to business analytics
Topic 2: Data visualisation
Topic 3: Descriptive numerical measures
Topic 4: Simple linear regression
Topic 5: Multiple linear regression - Part I
Topic 6: Multiple linear regression - Part II
Topic 7: Business Forecasting - Part I
Topic 8: Business Forecasting - Part II
Topic 9: Model Building - Part I
Topic 10: Model Building - Part II
Learning outcomes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
| On completion of this unit, students should be able to: | GA1 | GA2 | GA3 | GA4 | GA5 | GA6 | GA7 | |
|---|---|---|---|---|---|---|---|---|
| 1 | Appraise the role of data analytics and implications of big data in helping organisations identify new opportunities and turn big data into a strategic resource. | Knowledge of a discipline | Communication and social skills | |||||
| 2 | Identify patterns and trends for transformation of big data into meaningful information for use to gain competitive advantage. | Intellectual rigour | Knowledge of a discipline | |||||
| 3 | Apply statistical techniques using industry software to analyse relationships in the data for forecasting and evaluation purposes. | Knowledge of a discipline | ||||||
| 4 | Evaluate and communicate results of analysis in a framework for translating data analysis into decision-making outcomes in a variety of business settings. | Intellectual rigour | Communication and social skills | |||||
On completion of this unit, students should be able to:
- Appraise the role of data analytics and implications of big data in helping organisations identify new opportunities and turn big data into a strategic resource.
- GA4: Knowledge of a discipline
- GA6: Communication and social skills
- Identify patterns and trends for transformation of big data into meaningful information for use to gain competitive advantage.
- GA1: Intellectual rigour
- GA4: Knowledge of a discipline
- Apply statistical techniques using industry software to analyse relationships in the data for forecasting and evaluation purposes.
- GA4: Knowledge of a discipline
- Evaluate and communicate results of analysis in a framework for translating data analysis into decision-making outcomes in a variety of business settings.
- GA1: Intellectual rigour
- GA6: Communication and social skills
Prescribed texts
- Prescribed text information is not currently available.
Teaching and assessment
| Teaching method |
| Lecture online 1 hour (12 weeks) |
| Tutorial on-site 2 hours (12 weeks) |
| Assessment | |
| Short written response | 20% |
| Short written response | 30% |
| Report | 50% |
| Teaching method |
| Lecture online 1 hour (12 weeks) |
| Tutorial on-site 2 hours (12 weeks) |
| Assessment | |
| Short written response | 20% |
| Short written response | 30% |
| Report | 50% |
| Teaching method |
| Lecture online 1 hour (12 weeks) |
| Tutorial on-site 2 hours (12 weeks) |
| Assessment | |
| Short written response | 20% |
| Short written response | 30% |
| Report | 50% |
| Teaching method |
| Lecture online 1 hour (12 weeks) |
| Assessment | |
| Short written response | 20% |
| Short written response | 30% |
| Report | 50% |
| Teaching method |
| Lecture online 1 hour (12 weeks) |
| Tutorial on-site 2 hours (12 weeks) |
| Assessment | |
| Short written response | 20% |
| Short written response | 30% |
| Report | 50% |
| Teaching method |
| Lecture online 1 hour (12 weeks) |
| Tutorial on-site 2 hours (12 weeks) |
| Assessment | |
| Short written response | 20% |
| Short written response | 30% |
| Report | 50% |
Fee information
Domestic
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees
International
Please check the international course and fee list to determine the relevant fees.