Introduction to Biostatistics PG (12118.1)
Please note these are the 2025 details for this unit
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | On-Campus Online |
UC Sydney Hills, Castle Hill, NSW Bruce, Canberra |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Health |
Discipline | Study level | HECS Bands |
Discipline Of Public Health | Post Graduate Level | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
The unit will provide students with a solid foundation in statistical methods in public health including exposure to and use of statistical software packages ( STATA, R or SPSS) required for population health research practice. The unit will build student skills and confidence to independently explore, analyse and interprete health data.
1. Demonstrate an understanding of the importance of biostatistics in public health;
2. Understand and explain the concept of probability and sampling, formulate research hypotheses into a statistical context;
3. Conduct hypothesis tests for comparison of means, proportions, incidence rates and survival curves;
4. Identify data into appropriate measurement types and apply for visualization and summarization; and
5. Perform statistical analyses using STATA, R or SPSS.
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
2. UC graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Learning outcomes
Upon successful completion of this unit, students will be able to:1. Demonstrate an understanding of the importance of biostatistics in public health;
2. Understand and explain the concept of probability and sampling, formulate research hypotheses into a statistical context;
3. Conduct hypothesis tests for comparison of means, proportions, incidence rates and survival curves;
4. Identify data into appropriate measurement types and apply for visualization and summarization; and
5. Perform statistical analyses using STATA, R or SPSS.
Graduate attributes
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
2. UC graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites
None.Corequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.
Availability for enrolment in 2025 is subject to change and may not be confirmed until closer to the teaching start date.
Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2025 | UC Sydney Hills, Castle Hill, NSW | Semester 1 | 03 February 2025 | On-Campus | Dr Ro McFarlane |
2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | Online | Dr Ro McFarlane |
2025 | UC Sydney Hills, Castle Hill, NSW | Semester 1 | 03 February 2025 | Online | Dr Ro McFarlane |
2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | On-Campus | Dr Ro McFarlane |
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit
timetable.