Availabilities:
Not currently available in 2020
Unit description
Explores strategic revenue and yield maximisation in the hotel industry through the application of revenue and big data analytics, technology enablers, and business intelligence to drive profitability.
Unit content
This unit contains six topics:
- Hotel revenue management essentials
- Pricing strategy and the expanding role of revenue management
- Predictive analytics and price optimisation
- Overbooking practices in revenue management
- Revenue management systems and big data in hotels
- Future of revenue management
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.
Learning outcomes and graduate attributes
| On completion of this unit, students should be able to: | GA1 | GA2 | GA3 | GA4 | GA5 | GA6 | GA7 | |
|---|---|---|---|---|---|---|---|---|
| 1 | Examine principles of strategic pricing for customer buying behaviour in the hotel industry | Intellectual rigour | Knowledge of a discipline | |||||
| 2 | Evaluate revenue management systems in hotels and links to big data analytics | Creativity | ||||||
| 3 | Identify and interpret principles of customer/segment profit contribution | Knowledge of a discipline | ||||||
| 4 | Evaluate and propose appropriate revenue management practices for driving profitability in hotel industry contexts | Intellectual rigour | Knowledge of a discipline | |||||
Prescribed texts
Session 2
- Prescribed text information is not currently available.
Session 3
- Prescribed text information is not currently available.
Teaching and assessment
Brisbane - The Hotel School
| Teaching method |
| Lecture on-site 1 hour (weekly x 12 weeks) |
| Tutorial on-site 2 hours (weekly x 12 weeks) |
| Assessment | |
| Case Study Proposal | 20% |
| Case Study (STR Share Centre data) Part A: analysis | 45% |
| Case Study (STR Share Centre data) Part B: Recommendations | 35% |
Melbourne - The Hotel School
| Teaching method |
| Lecture on-site 1 hour (weekly x 12 weeks) |
| Tutorial on-site 2 hours (weekly x 12 weeks) |
| Assessment | |
| Case Study Proposal | 20% |
| Case Study (STR Share Centre data) Part A: analysis | 45% |
| Case Study (STR Share Centre data) Part B: Recommendations | 35% |
Sydney - The Hotel School
| Teaching method |
| Lecture on-site 1 hour (weekly x 12 weeks) |
| Tutorial on-site 2 hours (weekly x 12 weeks) |
| Assessment | |
| Case Study Proposal | 20% |
| Case Study (STR Share Centre data) Part A: analysis | 45% |
| Case Study (STR Share Centre data) Part B: Recommendations | 35% |
Fee information
Domestic
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Commencing 2020 Commonwealth Supported only. Student contribution band: 3
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.