Advanced Epidemiology PG (12121.1)

Please note these are the 2026 details for this unit
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Advanced Epidemiology PG
Available teaching periods Delivery mode Location
View teaching periods On-campus
Online real-time
 Bruce, ÃØÃÜÖ±²¥
UC Sydney Hills, Castle Hill, NSW
EFTSL Credit points Faculty
0.125 3 Faculty Of Health
Discipline Study level HECS Bands
Public Health Post Graduate Level Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
This unit will introduce advanced concepts in epidemiology and explore quantitative methods required for interpretating and conducting epidemiological studies. The unit will be of particular interest to students who plans to undertake epidemiological research with a good understanding of quantitative methods.

Learning outcomes

Upon successful completion of this unit, students will be able to:
1. Demonstrate knowledge and apply methodological and practical issues involved in designing and conducting epidemiological studies;
2. Use knowledge in epidemiological and biostatistics theory and methods in solving public health problems;
3. Apply spatial epidemiological analysis tools to analyse and describe data;
4. Develop reflective critical thinking skills in critical appraisal of existing literature on public health practice, policy and research to enhance health outcomes and care and transform health services; and
5. Critique, interpret and synthesise evidence from existing literature to support health promotion and the surveillance, management, and prevention of health-related events.


Graduate attributes

1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
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
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas


Prerequisites

9594 Epidemiology and Principles of Research PG

Corequisites

None.

Incompatible units

None.

Equivalent units

None.

Assumed knowledge

None.
Year Location Teaching period Teaching start date Delivery mode Unit convener
2026 Bruce, ÃØÃÜÖ±²¥ Semester 1 16 February 2026 On-campus Dr Nasser Bagheri
2026 Bruce, ÃØÃÜÖ±²¥ Semester 1 16 February 2026 Online real-time Dr Nasser Bagheri
2026 UC Sydney Hills, Castle Hill, NSW Semester 1 16 February 2026 On-campus Dr Nasser Bagheri
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.

Required texts

Any relavant weekly readings will be availble on the unit Canvas page. This would be update regularly.

Submission of assessment items

Extensions & Late submissions

 Artificial intelligence 

Special assessment requirements

Students are not permitted to use generative artificial intelligence (GenAI) in assessments for this unit, except for Studiosity Writing Feedback Plus.

GenAI may only be used in authorised ways when completing assessments at UC. This means that GenAI can only be used for an assessment when:

  1. the Unit Convener has authorised GenAI use for that assessment
  2. the student uses GenAI in the way that the assessment instructions allow
  3. the student fully acknowledges their use of GenAI, with proper citations, references and a GenAI Acknowledgement Statement in line with the assessment instructions.

Where the assessment instructions do not specifically state that GenAI may be used and how, then its use is not permitted for that assessment. Students must still provide the required GenAI Acknowledgement Statement to indicate whether GenAI has or has not been used in the preparation of the assessment. If unsure, students should seek advice from the Unit Convener.

The  Library Guide provides further information, including how to .

Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.

Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.

UC students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).

UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.

Information is provided in the , , and University of ÃØÃÜÖ±²¥ (Student Conduct) Rules 2023. For further advice, visit Study Skills.

Participation requirements

To be successful in this unit, it is highly encouraged students attend the tutorial session which designed in a such a way to be hands on and applied. 

Required IT skills

Students will be using R studio, Stata, ArcGIS  in the lab for the tutorials.

Work placement, internships or practicums

Not applicable.

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