Outline

Overview

The aim of this student-driven capstone unit is either: 1. To conduct a clinical epidemiology research project (including a systematic review) and to write a research report on the project in the form of a paper suitable for publication or 2. to develop a grant proposal suitable for a peer-reviewed granting body or 3. To develop a research protocol suitable for submission to a human research ethics committee. Research Project: A research project will involve: drafting and refining the project proposal; data collection; data analysis; and produce a report suitable for publication in a peer-reviewed journal. It is the responsibility of the student to identify a suitable project and supervisor, in consultation with a the unit coordinator, based upon area of interest to the student. Feasibility is a critical criterion for selection of the topic given the tight time frame. Students who are unable to find a local research supervisor may contact the unit coordinator as a limited number of research projects may be offered and methodological expertise can be arranged. Grant writing project: students will develop a grant proposal and supporting paperwork suitable for submission to a grant reviewing body. This will include drafting supplemental documentation in addition to the research proposal. Research Protocol: Students will develop a research protocol for a research project based on their clinical interests. Students will also be required to prepare the human research ethics application as well as any patient facing documentation. All projects will be supported with online resources with experienced researchers available to provide guidance on the practical aspects of clinical research. Students need to email the unit coordinator to discuss suitability of their project and they are encouraged to do so early.

Unit details and rules

Academic unit	Public Health
Credit points	6
Prerequisites ?	(CEPI5100 or PUBH5010) and (PUBH5018 or FMHU5002)
Corequisites ?	None
Prohibitions ?	CEPI5206 or CEPI5300
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Siah Kim, siah.kim@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2026

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Peer or expert observation or supervision	Assignment 2 Final deliverable as per stream requirements	60%	Formal exam period Due date: 09 Jun 2026 at 23:59	3500 words	AI limited - refer to Canvas
Outcomes assessed:
Out-of-class quiz	Good clinical practice certification Good clinical practce certification	0%	Week -04 Due date: 22 Mar 2026 at 23:59	2.5 hours	AI allowed
Outcomes assessed:
Peer or expert observation or supervision	Assignment 1 - written report as per stream requirements	10%	Week 05 Due date: 29 Mar 2026 at 23:59	1500 words	AI limited - refer to Canvas
Outcomes assessed:
Presentation	Presentation 1 and marked discussion Presentation and marked disucssion	15%	Week 05 Due date: 29 Mar 2026 at 23:59	5 minutes presentation	AI allowed
Outcomes assessed:
Written work	Draft report As per stream requirements	0%	Week 08 Due date: 26 Apr 2026 at 23:59	3000 words	AI allowed
Outcomes assessed:
Presentation	Presentation 2 Presentation and marked discussion as per stream requirements	15%	Week 11 Due date: 17 May 2026 at 23:59	5 minutes	AI allowed
Outcomes assessed:

Assessment summary

There are three streams based on whether students are undertaking a research project, research protocol or a grant writing project. The deliverables for the three streams are different but the assessment structure is as below:

Good clinical practice certification	0%
Assignement 1 - written deliverable as per stream requirements	10%
Presentation 1 - presentation and marked discussion	15%
Draft report as per stream requirements	0%
Presentation 2 - presenation and marked discussion	15%
Assignment 2 - final deliverable as per stream requirements	60%

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity	Learning outcomes

Attendance and class requirements

Class requirements: It is compulsory for students to attend a minimum of 5 meetings with the local supervisor and/or University of Sydney supervisor.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. Integrate learning from other units relevant to the development of research project and report (research projects and research grant projects)
LO2. Understand the practical and ethical issues involved in the conduct of clinical studies (research projects and research grant projects)
LO3. Develop a research proposal and report in a structured, concise, and scientifically robust manner (research projects and research grant projects)
LO4. Understand the ethical approval, grant application, publication, budgeting, and the peer review process (research grant projects)

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

We have added in some extra resources around writing a research protocol.

Disclaimer

Important: the University of Sydney regularly reviews units of study and reserves the right to change the units of study available annually. To stay up to date on available study options, including unit of study details and availability, refer to the relevant handbook.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

CEPI5507: Clinical Epidemiology Project

Semester 1, 2026 [Supervision] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links