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TRM5003 · Research methods in clinical and translational medicine

Official Handbook

2026 Handbook12 credit pointsLevel 5School of Translational Medicine

Last checked: 23 Aug 2026 UTC

Overview

This unit will teach you how to review and evaluate the clinical and scientific literature relevant to a clinical and translational medicine discipline. You will learn how to synthesise the relevant literature and develop a research proposal. You will apply the principles of research integrity to the design of methodologies that underpin a research project, and develop foundational knowledge in statistical methods and their appropriate application to a range of scientific data. You will develop skills in oral and written communication of a clinical and translational medicine discipline, learning to build a critical narrative containing a strong justification for your aims and hypothesis related to your chosen research topic.

Offerings

CampusTeaching periodMode
Alfred HospitalFull yearTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Test: Induction to working with humans and animals (75 MCQs) (Pass/Fail)Quiz / Test
2Ethics: Essay (2,000 words)Written30%
3Statistics: Applied assignment (40 SAQs)Written30%
4Discipline specific: Quiz series (4 x quizzes x 10 MCQs)Quiz / Test16%
5Discipline specific: Poster and oral presentation (5 mins oral presentation with 5 mins Q&A)Presentation24%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

  1. Integrate the principles of research integrity to the proposed methodology and research project.
  2. Recognise the breadth of moral, ethical and legal responsibilities of clinical research.
  3. Communicate the ethical principles and responsibilities of clinical research.
  4. Outline the breadth of statistical tests and evaluate their applicability to common research methodologies.
  5. Apply foundational statistical tests to a range of scientific data.
  6. Apply discipline specific techniques in biomedicine to address a scientific problem.
  7. Critically analyse research methods.
  8. Communicate the application of a published scientific method to a scientific audience.

Workload

On-campus: 24 hours of teacher-directed learning per week delivered online and face-to-face including lectures, workshops and pre and post-learning modules. 24 hours of self-directed learning per week including private study, reading published studies, reference material and textbooks. Total hours per week = 48 hours You will complete online self-directed learning tasks, a major written assessment (literature review), a minor written assessment (statistics assignment), oral presentation and two MCQ tests.

ActivityDuration
Assessments
Seminars
Workshops

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