Outline

Overview

This unit will allow students to be supervised in specific areas of study in related disciplines that are considered desirable but not covered in any other postgraduate units of their selected stream. Students must discuss learning outcomes, methods for achieving them, assessment and assessment criteria with their Primary Discipline Supervisor and submit a Learning Agreement to the program Academic Supervisor before enrolment in and commencement of study in the relevant Semester. Risk assessments are regularly conducted for units that require the completion of compulsory learning activities that may expose students to zoonotic diseases. These assessments aim to identify appropriate risk mitigation controls, such as vaccination against vaccine- preventable zoonoses. Vaccination against Q fever (Coxiella burnetii) is an inherent requirement for students enrolling in this unit of study. Students must be vaccinated against Q fever before commencing the unit or no later than week two of the enrolled teaching session. Q fever vaccination is only available in Australia with the vaccination process taking three weeks to complete. Students must also submit a Q fever Vaccination Declaration upon enrolment. Students who fail to receive vaccination by the specified deadline and/or submit a Q fever Vaccination Declaration are precluded from practical learning activities and will not be able to satisfactorily complete relevant units of study and/or progress in their course more generally. Please refer to the University’s website https://www.sydney.edu.au/students/q-fever-vaccinations.html for more information on student vaccinations.

Unit details and rules

Academic unit	School of Veterinary Science Academic Operations
Credit points	6
Prerequisites ?	VETS9014
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Andrea Harvey, andrea.harvey@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	Supervisor report Supervisor assessment of case management and clinical performance	50%	Week 13	ongoing	AI prohibited
Outcomes assessed:
Written work	Written task Scope of written task developed in discussion with the site supervisor	20%	Week 13	Negotiated with supervisor	AI allowed
Outcomes assessed:
Presentation	Communication task An oral presentation of a case report, seminar or other suitable format.	20%	Week 13	Negotiated with supervisor	AI allowed
Outcomes assessed:
Portfolio or journal	Activity Log A case log (format as per relevant specialisation College requirements)	10%	Week 13	Negotiated with supervisor	AI allowed
Outcomes assessed:

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2021 (Schedule 1).

Result name	Mark range	Description
High distinction	85 - 100	The student performs at an exceptional level for their stage of training. This should be across all assessable tasks.
Distinction	75 - 84	The student performs at an high level for their stage of training. This should be across all assessable tasks.
Credit	65 - 74	The student performs at an good level for their stage of training. This should be across all assessable tasks.
Pass	50 - 64	The student performs at an acceptable level for their stage of training. This should be across all assessable tasks.
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see: sydney.edu.au/students/guide-to-grades

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
Multiple weeks	Supervised clinical training in an area of veterinary science related to primary field of specialisation	Placement (25 hr)

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.

Required readings

All readings for this unit can be accessed on the Library eReserve link available in the Canvas site for this unit and discuss with your supervisor.

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. Demonstrate the application of an advanced level of knowledge in an area of veterinary science related to the chosen field of veterinary specialisation.
LO2. Demonstrate application of the related discipline to case management in the chosen field of specialisation.
LO3. Communicate effectively and respectfully, using both oral and written forms, with staff, students and clients (where applicable) at the workplace where training is being undertaken.
LO4. Maintain accurate and detailed medical records for allocated cases (where applicable)
LO5. Demonstrate clinical competency commiserate with a 'Resident in training' to complete tasks relevant to the related discipline.
LO6. Interpret and critically appraise the veterinary literature and (where applicable) apply this to case management

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.

Alignment between learning outcomes and assessment tasks has been improved to better reflect the skills residents will acquire by completing this unit of study and how this fits in to their overall training to become a veterinary specialist.

Additional information

Each veterinary specialisation program will have variation in the specific requirements for this Unit of Study. At the commencement of this unit the student is required to meet with their 'related discipline' supervisor and develop a learning plan that includes agreed upon details for the written and communication assessment tasks.

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice. Penalties for non-compliance have increased. Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

General Laboratory Safety Rules

No eating or drinking is allowed in any laboratory under any circumstances
A laboratory coat and closed-toe shoes are mandatory
Follow safety instructions in your manual and posted in laboratories
In case of fire, follow instructions posted outside the laboratory door
First aid kits, eye wash and fire extinguishers are located in or immediately outside each laboratory

As a precautionary measure, it is recommended that you have a current tetanus immunisation. This can be obtained from University Health Service: unihealth.usyd.edu.au/

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

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

VETS9016: Veterinary Training: Related Disciplines

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

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links