| Type: | Postgraduate Subject |
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| Code: | DTSC71-307 |
| EFTSL: | 0.125 |
| Faculty: | Bond Business School |
| Semesters offered: |
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| Credit: | 10 |
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| Subject fees: |
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Description
This subject extends the investigation of modern statistical modelling techniques initiated in Statistical Learning and Regression Models. Topics range from modern applied resampling/bootstrap methods to develop robust measures of model accuracy, to handling correlated data with mixed-effects models, and Bayesian Networks. Analysis will be conducted in programming languages such as R and Python.
Subject details
Learning outcomes
- Diagnose key aspects of data to assess the need for a particular model structure.
- Evaluate a variety of statistical model structures to choose the most appropriate.
- Analyse resampling methods to develop robust measures of model accuracy.
- Evaluate the results from a variety of statistical model types.
- Communicate the results of complex statistical models clearly and accurately to both technical and non-technical audiences.
Enrolment requirements
| Requisites: |
Pre-requisites:Co-requisites:There are no co-requisites |
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| Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.
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| Restrictions: |
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Subject outlines
Subject dates
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September 2026
Standard Offering Enrolment opens: 19/07/2026 Semester start: 14/09/2026 Subject start: 14/09/2026 Last enrolment: 27/09/2026 Teaching census: 09/10/2026 Withdraw - Financial: 10/10/2026 Withdraw - Academic: 31/10/2026
| Standard Offering | |
|---|---|
| Enrolment opens: | 19/07/2026 |
| Semester start: | 14/09/2026 |
| Subject start: | 14/09/2026 |
| Last enrolment: | 27/09/2026 |
| Teaching census: | 09/10/2026 |
| Withdraw - Financial: | 10/10/2026 |
| Withdraw - Academic: | 31/10/2026 |