University of Western Australia

What you'll study

The program delivers an integrated mix of biological theory, statistical methods and practical computing skills necessary to extract insight from high-throughput biological data. You study core topics in molecular biology and genomics alongside training in programming, data analysis and machine learning, and complete a substantial research or industry-aligned project.

• Core bioinformatics and genomics: sequence analysis, comparative genomics, transcriptomics and functional annotation.
• Computational methods and programming: scripting for data analysis (commonly using languages such as R and Python), algorithms for biological data, database design and data management.
• Statistical and machine learning approaches: statistical inference for high-dimensional data, experimental design, applied machine learning for classification and pattern discovery in biological datasets.
• Specialist topics: structural bioinformatics, proteomics data analysis, population genomics, metagenomics and systems biology, depending on elective choices.
• Professional and research training: a capstone research project, industry practicum or dissertation that applies learned techniques to a real genomic or biomedical data problem, supported by supervisors from the University or partner organisations.

Entry requirements

Applicants are normally expected to hold a relevant undergraduate degree or equivalent in a discipline such as biological sciences, computer science, mathematics, statistics, bioengineering or a closely related field. Applicants without direct bioinformatics experience are typically required to demonstrate proficiency in programming and quantitative methods, or to complete bridging coursework. Selection may also take into account academic transcripts, a personal statement outlining research or professional experience, and references. Where English is not the primary language of instruction, applicants must meet the University's English language proficiency requirements.

Career prospects

Graduates are equipped for roles that bridge biology and data science across academia, industry and government. Typical career paths include:

• Bioinformatician or computational biologist in research institutes, universities or biotechnology companies.
• Genomic data analyst in clinical diagnostics, pharmaceutical research, agricultural genomics and personalised medicine.
• Data scientist or statistician working on biological or health datasets.
• Research and development roles in biotech start-ups, contract research organisations and public-sector laboratories.
• Progression to doctoral research in bioinformatics, computational biology or related fields for those aiming at research-focused careers.

Why study at University of Western Australia

UWA offers a multidisciplinary environment with strong research strengths in genomics, molecular biology and computational biosciences. Students benefit from access to modern sequencing and computational facilities, and opportunities to collaborate with local research institutes, hospitals and industry partners in Western Australia. The program emphasises hands-on training and a research or industry project that builds a portfolio of applied skills valued by employers. The University’s supportive postgraduate community and links to regional bioresource initiatives provide additional pathways for professional development and research collaboration.