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Unit outline_

BIDH5002: Digital Health and Data Science Project B

Semester 2, 2023 [Supervision] - Westmead, Sydney

Digital health interventions and data science are increasingly used to address health challenges through a myriad of solutions from apps, augmented interfaces, clinician-facing decision-support systems, and new models of care such as telehealth. Candidates will work on a substantial research project in an area of specific interest applicable to digital health, health, or clinical data science. The project may include the analysis of an existing health related data set, a systematic review, a case study, health technology evaluation, clinical re-design, survey, or other projects deemed acceptable to the project partner and supervisor. Listed projects may be available for students to select if they fulfill the skills, pre-requisites, and interview requirements. Candidates with a current workplace-based project may apply for project partner approval if learning outcomes criteria are met. The candidate will enter a group or individual learning contract. The development of suitable methodologies and a substantive literature review will be the primary focus for Project A. This supports the focus for Project B; a scholarly work which may be a paper for publication or industry report, culminating in a presentation or seminar suitable for academic and/or professional audiences. Implementation science and modern project management techniques should be used where appropriate in projects.

Unit details and rules

Academic unit Department of Medical Sciences
Credit points 6
24 credit points of (HTIN5006 or HTIN5005 or HSBH5003 or BIDH5003 or BIDH5000 or COMP9001 or INFO5306 or HTIN5003 or COMP9103 or COMP5046 or COMP5048 or COMP5318 or COMP5424 or STAT5002 or STAT5003 or BMET9925 or BMET5933 or BMET5992 or IDEA9106 or CEPI51
Assumed knowledge

Assumed library information systems research skills and basic knowledge of health, health care and associated ethics and governance systems are required. Students must complete a pre-capstone knowledge screening quiz or interview which will identify recom

Available to study abroad and exchange students


Teaching staff

Coordinator Audrey P. Wang (Digital Health),
Lecturer(s) Jinman Kim,
Project supervisor(s) Anna Janssen,
Jeffery Chan,
Audrey P. Wang (Digital Health),
Type Description Weight Due Length
Dissertation hurdle task Final Thesis Dissertation
Final dissertation (industry/publication format) with personal reflection
60% Formal exam period
Due date: 13 Nov 2023 at 23:59

Closing date: 14 Nov 2023
>5000word (max 35,000 words).
Outcomes assessed: LO2 LO3 LO4 LO5
Assignment Project Progress Report 2
Project Progress Report 2
20% Week 08
Due date: 19 Sep 2023 at 23:59
1000 words
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
Presentation hurdle task Seminar Presentation
20% Week 10
Due date: 13 Oct 2023 at 23:59
15 minutes
Outcomes assessed: LO2 LO1 LO5 LO3
hurdle task = hurdle task ?

Assessment summary

Detailed information for each assessment can be found on the corresponding Canvas site. Please note : Final thesis in publication style should specify journal style. Final thesis in industry report style should state industry standard style.

Assessment criteria

Assessment Grades

Result Code

Result Name

Mark Range



High distinction

85 - 100

Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard



75 - 84

Awarded when you demonstrate the learning outcomes for the unit at a very high standard



65 - 74

 Awarded when you demonstrate the learning outcomes for the unit at a good standard



50 - 64

Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard



0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.


Absent Fail

0 - 49

When you haven’t completed all assessment tasks or met the attendance requirements.


NB: A results incomplete will be assigned to BIDH5001 Digital Health and Data Science Project A, so students will need to complete BIDH5002 Digital Health and Data Science Project B before receiving results applied to both units.


Result Code

Result Name

Mark Range



Results incomplete

No mark

Temporarily used in cases where a result will remain incomplete for a longer period than the IC (Incomplete) result. You will be able to re-enrol with an RI result.

For more information see guide to grades.

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:

The Assessment Procedures 2011 provide that any written work submitted after 11:59pm on the due date will be penalised by 5% of the maximum awardable mark for each calendar day after the due date. If the assessment is submitted more than ten calendar days late, a mark of zero will be awarded. This unit of study may prohibit late submission or exclude late penalties only if expressly stated below : Simple extensions of up to 48 hours may be requested in writing by using the portal and emailing the unit coordinator Dr Audrey P Wang prior to the written assignment due date. Should your request be approved, you will receive an email with your new due date and time. Requests for longer extensions must be submitted through the Special Consideration system. Extensions are prohibited for presentation assessments.Final dissertation submission date should be adhered to as a delay may affect finalisation of results and graduation preference dates.

Academic integrity

The Current Student website  provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.  

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

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.

WK Topic Learning activity Learning outcomes
Week 01 Project based activities and study (weekly). This occurs in negotiation with supervisor. Individual study (12 hr) LO1 LO2 LO3 LO4 LO5
Week 10 Seminar Presentation of Capstone Projects (compulsory attendance). Detailed information can be found on the corresponding Canvas site. Seminar (7.5 hr) LO2 LO3 LO5
Week 12 Reflective Practice Workshop (Compulsory) - Debriefing practice Workshop (4 hr) LO3 LO4 LO5

Attendance and class requirements

Please refer to Canvas for detailed information about attendance and class requirements including workshops and presentations.

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 required readings for this unit can be accessed through the Library’s reading list system Leganto, available on Canvas. Detailed information for readings and resources can be found on the corresponding Canvas site.

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.

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

  • LO1. Initiate, formulate and plan a research/ development project and objectives that addresses individual, organisational and systemic factors in complex health challenges
  • LO2. Demonstrate the application of critical inquiry and research skills by synthesising the relevant literature and results into a publication or industry report, and presentation
  • LO3. Critically reflect and evaluate the research outcomes, iterative and collaborative processes of the interdisciplinary project.
  • LO4. Develop, substantiate and articulate professional responsibilities by applying modern project management and implementation science frameworks.
  • LO5. Adhere to agreed timelines and conditions of learning contract, incorporate risk mitigation strategies whilst following the research plan methodically.

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

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

No changes have been made since this unit was last offered

There are other types of capstone projects that do not require additional checks or costs e.g. using published datasets.

Additional costs

Students will require a laptop. If they wish to conduct a healthcare provider-associated capstone project they may additionally require other checks and tests including criminal record check, vaccinations, personal protective equipment and other site-specific requirements. Costs will vary.

Site visit guidelines

Students who are accepted onto a healthcare related capstone project (including those with a placement component) must adhere to professional standards that are in keeping with Faculty of Medicine and Health - Professionalism Requirements Provisions 2022 policy and site-specific policies including ethics and governance.

Work, health and safety

Detailed information is available in your relevant Canvas site, and is project and site dependent.

Students of MDHDS will have the opportunity to conduct a Capstone project closely tied to a healthcare provider or making use of health data if they fulfil the criteria to be accepted onto the project. Some of these projects have specific requirements, ethics, governance, policies and WHS checks to fulfil including vaccinations, criminal record checks, prohibited employment declaration, health records and privacy information declarations, and Working with Children checks. Costs may be incurred by the student dependent on the project.


The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

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