Outline

Overview

This practically- based elective unit of study aims to provide a capstone experience for those psychiatry trainees wishing to gain experience in empirical research (quantitative or qualitative) relevant to the field of Psychiatry. This unit is to be taken over 1 semester (7 hours of field placement per week) or may be extended over 2 semesters with 3.5 hours per week field placement. Students will learn a variety of skills for acquisition, analysis and presentation of data particular to their field of interest and will write up their project as a draft research publication. Potential projects can be reviewed by students in the semester prior to commencement so that they can familiarize themselves with research conducted at the Brain and Mind Centre, including placements in clinical research groups and basic neuroscience laboratories, depending on student skills and supervisor availability. Alternatively students may consult their local training networks and propose a supervised project well prior to the commencement of the unit. Projects may contribute to the Scholarly Project for the RANZCP CBFP. Acceptance to a given project will be selective, requiring departmental approval.

Unit details and rules

Academic unit	Brain and Mind Science
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	BMRI5003 and BMRI5050
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Loyola McLean, loyola.mclean@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Peer or expert observation or supervision	Supervisor evaluation Supervisor's evaluation	40%	Formal exam period	N/A	AI prohibited
Outcomes assessed:
Dissertation or thesis	Final thesis Non-HDR thesis	40%	Formal exam period Due date: 17 Nov 2025 at 23:59	4000 words main text; 250 words abstract	AI allowed
Outcomes assessed:
Presentation	Final presentation Oral presentation	10%	Formal exam period	10 minutes	AI allowed
Outcomes assessed:
Presentation	Introductory presentation Oral presentation	10%	Multiple weeks	10 minutes	AI allowed
Outcomes assessed:
Conversation	Mandatory progress review meeting Meeting	0%	Multiple weeks	20 minutes	AI allowed
Outcomes assessed:
Written work	Research contract Research outline.	0%	Week 03 Due date: 18 Aug 2025 at 23:59	One page	AI allowed
Outcomes assessed:

Assessment summary

Research contract: Students will submit a proposal outlining the scientific goals of the study as well as outcomes related to skill development.
Introductory presentation: Students will give a short oral presentation to effectively outline their research project.
Mandatory progress review meeting: Students will have a short one-on-one meeting with a senior academic to discuss the student progress.
Final thesis: Students will write a thesis to report the findings from their research project.
Final presentation: Students will give a short oral presentation to outline the results they have achieved throughout the semester.
Supervisor evaluation: This component of the assessment is the main supervisor’s evaluation of a student’s contribution to the research project.

Detailed information for each assessment can be found on Canvas.

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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

See Canvas for exact assessment due dates and times.

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	Statistics workshops and consultations (optional)	Tutorial (12 hr)
Ongoing	Research project	Project (120 hr)

Attendance and class requirements

Passing the course. Students must earn an average mark of at least 50% for the unit as a whole by passing their assessments.
Academic honesty. Academic honesty must be demonstrated in all forms of assessment. Similarity detection software (i.e. Turnitin) will be used for all submitted written work.

Please refer to our Course Rules and Policies: https://canvas.sydney.edu.au/courses/12062/pages/course-rules-and-policies?module_item_id=666352

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

There are no prescribed readings for this course.

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. analyse a broad scientific question and define specific research objectives
LO2. explain how the techniques being employed in the project address specific research aims and the strengths and limitations of different approaches
LO3. assess and carry out protocols for data acquisition within the project while behaving in an ethical and collaborative manner.
LO4. present data using appropriate written language and figures
LO5. apply statistical tests, qualitative analysis or integrative approaches to examine trends in the data
LO6. interpret the projects and research findings in the context of the broader field and the discuss implications and limitations of the project
LO7. produce a written summary of the research project in a thesis format appropriate for academic publication that acknowledges the student and other’s contributions.
LO8. throughout the project learn to use supervision and collegial conversations to deliver the thesis and problem-solve as necessary.

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.

No changes have been made since this unit was last offered.

Additional information

Help and Resources - Brain and Mind Centre Postgraduate Program

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

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

BMRI5055: Research Project in Psychiatry

Semester 2, 2025 [Supervision] - Mallett Street, 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

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links