Units / BMS5306
BMS5306 · Bioinformatics research project
2027 Handbook24 credit pointsLevel 5School of Biomedical Sciences
Overview
This unit is the research project component of the Master of Bioinformatics. You will undertake a supervised bioinformatics research project involving research of a publishable standard which forms the basis of a thesis presented at the end of the project period. You will apply the skills developed in the Masters program and undertake further training in advanced bioinformatics analysis of complex biological data sets.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | Second semester | Teaching mostly conducted outside of a classroom/campus environment (IMMERSIVE) |
Assessment
The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Research Seminar (20 minutes) | Presentation | 30% | — |
| 2 | Research Thesis (10,000-15,000 words) | Written | 70% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prerequisite
Learning outcomes
- Apply advanced bioinformatics tools and integrated analytical workflows to independently analyse and interpret complex biological data sets.
- Exercise critical and creative thinking to interrogate complex scientific data, generate original insights, and address novel problems.
- Critically evaluate and interpret research data and integrate findings with existing literature in the field to develop robust, evidence-based conclusions.
- Communicate complex research concepts, methodologies, results and interpretations clearly and professionally to specialist scientific audiences through advanced written and oral communication, using appropriate digital and visualisation tools.
- Demonstrate ethical, professional and personal responsibility in undertaking a research project.
Workload
An average of 48 hours per week (including bioinformatic data analysis, reading of relevant scientific literature and preparation for assessments).
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