Sydney Professional Certificate
Errata
Item | Errata | Date |
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1. |
The following unit is no longer offered from 2022: |
24/01/2022 |
Biostatistics in Health
Graduates of this Professional Certificate will have specialised knowledge in Biostatistics in Health.
Graduates will have cognitive skills to:
- Review, analyse, consolidate and synthesise statistical methods used in health research
- Apply statistical methods to issues in health research
- Apply biostatistical knowledge and skills in health research to best communicate research findings in their professional practice.
Unit outlines will be available though Find a unit outline.
Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
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Biostatistics in Health |
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Sydney Professional Certificate in Biostatistics |
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Students must complete: | |||
(a) 12 credit points of 5000-level units of study | |||
5000-level units of study |
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PUBH5018 Introductory Biostatistics This unit of study is not available in 2022 |
6 |
Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
PUBH5217 Biostatistics: Statistical Modelling |
6 | P PUBH5018 or FMHU5002 N (PUBH5211 or PUBH5212 or PUBH5213) Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 2 |
Biostatistics in Health
Sydney Professional Certificate in Biostatistics
5000-level units of study
This unit of study is not available in 2022
Specific analysis methods of this unit include: hypothesis tests for one-sample, two paired samples and two independent samples for continuous and binary data; distribution-free methods for two paired samples, two independent samples; correlation and simple linear regression; power and sample size estimation for simple studies; and introduction to multivariable regression models;.
Students who wish to continue with their statistical learning after this unit are encouraged to take PUBH5217 Biostatistics: Statistical Modelling.
The focus of the unit is very applied and not mathematical. Students gain hands on experience in fitting statistical models in real data. You will learn how to clean data, build an appropriate model, and interpret results. This unit serves as a prerequisite for PUBH5218 Advanced Statistical Modelling.