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Unit Overview

Description

This unit introduces students to the role of big data in advancing human health, focusing on the generation, analysis, and application of large-scale datasets in genomics, transcriptomics, microbiomics, and public health. Students will explore computational tools, statistical techniques, and artificial intelligence to analyse and interpret complex biological data. Practical sessions will give students hands-on experience of current bioinformatics tools and techniques. Ethical considerations and real-world applications are integrated throughout to ensure students understand the broader implications of big data in healthcare.

Credit
6 points
Offering
AvailabilityLocationModeFirst year of offer
Not available in 2025UWA (Perth)Face to face
Outcomes

Students are able to (1) explain the principles and applications of big data in health, including the role of high performance computing (HPC); (2) develop and apply skills in bash scripting, data analysis and visualisation using R, performing statistical tests and leveraging techniques for big data analysis; (3) process and analyse datasets relevant to big data in human health, e.g., whole-genome sequencing, gene expression data and epigenomic datasets, to address complex biological and clinical research questions; (4) apply artificial intelligence (AI) methods for predictive analytics in the context of healthcare research; (5) discuss the role of big data in the analysis of human pathogens (e.g., bacterial communities), and demonstrate relevant analysis skills; and (6) evaluate the ethical considerations and societal implications of big data usage, ensuring its responsible and equitable application in human health research.

Assessment

Indicative assessments in this unit are as follows: (1) exam and (2) workshop/practical assessments. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Dr Nina McCarthy
Unit rules
Prerequisites
Enrolment in
Major(s) MJD-HUMGE Human Genomics
or Major(s) MJD-HSDEM Human Sciences and Data Analytics
and Successful completion of
GENE2230 Molecular Genetics I
or GENE2210 Functional Genomics
and
IMED2203 Research Methods in Human Health
or STAT2401 Analysis of Experiments
and STAT2402 Analysis of Observations
Contact hours
up to two lectures per week, workshops: 10 x 3 hours
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.