Master of Genome Analytics

The Master of Genome Analytics places substantial emphasis on working with real genomic datasets rather than learning genomics only theoretically. Students undertake computer laboratory work, clinical case analysis, genome curation, variant classification and diagnostic report writing, and can progress into either a supervised genomics research thesis or a selective internship within a commercial or hospital-based genomics environment.

Key practical experiences and facilities include:

• Applied bioinformatics laboratories: GNA5012 Applied Bioinformatics includes 48 hours of computer laboratories, where students analyse genomic and omics datasets, assess sequencing-data quality, identify genomic variants, perform gene/protein expression analysis, clustering, network analysis and data visualisation, and develop basic computer-programming skills.
• Clinical patient cases: GNA5200 Clinical Applications of Genomics uses authentic-style clinical cases requiring students to choose appropriate genetic tests, perform variant curation and classification and prepare clinical genomic reports while considering consent, ethics and psychosocial implications.
• Genome curation software and databases: In GNA5120 Genome Curation, students use contemporary bioinformatics software, genomic databases, population datasets and published evidence to identify causative variants and produce reports suitable for clinical use.
• Cancer-genomics projects: GNA5042 Cancer Genomics involves analysing cancer genomes and databases, interpreting somatic and germline variants and producing clinical genome-analysis reports. Assessment includes a small-group genetic-test design and validation project and individual cancer-patient case analysis.
• Genomics internship: Eligible students can undertake GNA5930, working in a commercial or hospital-based clinical/research genomics environment with senior professional mentors. Students gain experience with patient data, variant calling, genome curation, clinical report writing, multidisciplinary meetings and professional teamwork.
• Up to 288 hours of internship experience: The internship can be undertaken across a semester with at least two days per week on site or as an intensive 5–6 week placement, equivalent to approximately 288 hours. Places are limited and generally require a high distinction average in specified genome-analytics units plus a competitive application and interview.
• Research thesis pathway: GNA5900 Genomics Research Project and Thesis allows students to undertake supervised research of potentially publishable standard while developing advanced bioinformatics skills for complex biological datasets and presenting their research through seminars and a thesis.
• Monash Genomics and Bioinformatics Platform: Monash's research environment includes a state-of-the-art platform combining the Monash Bioinformatics Platform and Micromon Genomics, supporting genomics, proteomics, structural biology, DNA/RNA sequencing, single-cell multiomics and spatial multiomics.
• Advanced sequencing technologies: Monash's Genomics Node provides Sanger, next-generation and long-read sequencing, with technologies including PacBio Vega, Oxford Nanopore MinION and PromethION, and 10x Genomics Chromium X, alongside spatial multiomics platforms.
• MHTP Medical Genomics Facility: The Monash Health Translation Precinct includes a specialist medical genomics facility providing Next Generation Sequencing, quantitative real-time PCR and single-cell genomics, with collaborations involving Monash Health Pathology, Hudson Institute and Monash University. Its NGS service is NATA-accredited.
• Bioinformatics computing resources: The Monash Genomics and Bioinformatics Platform provides specialist resources for data analysis, visualisation and exploration, together with computing, storage, training and bioinformatics expertise.

Software and digital tools: Monash does not prescribe one universal commercial software package for S6005. Students instead work with bioinformatics software, genomic databases, computational workflows, genome-analysis tools, data visualisation and basic programming, with the exact platforms varying according to the unit, clinical case, research project or internship.

The program is specifically designed to develop specialists capable of analysing genomic data for diagnostic and healthcare applications, with Monash identifying Medical Scientist in a diagnostic laboratory as a key graduate career outcome. Graduates can also apply their genome-analysis expertise in medical and pharmaceutical research, biotechnology organisations, universities and organisations such as CSIRO, with suitable directions including Genome Analyst, Variant Curation Specialist and Genomics Researcher.

The degree supports this transition through:

• Direct diagnostic-genomics preparation: Students graduate with skills in variant calling, variant classification, genome curation and clinical genomic report writing, giving them specialised preparation for diagnostic laboratories and genomic medicine.
• Industry and hospital experience: The selective GNA5930 Genomics Internship embeds students within professional commercial or hospital-based genomics environments, where they develop industry-level competencies in genomic analysis, reporting and multidisciplinary teamwork.
• Demonstrated graduate outcome: Monash profiles Master of Genome Analytics graduate Julie Robin, who undertook an internship during the course and subsequently transitioned directly into a Medical Scientist role after graduation.
• Clinical and research ecosystem: Relevant genomics infrastructure at Monash operates through collaborations involving Monash University, Monash Health Pathology and the Hudson Institute, providing students with exposure to a major translational biomedical environment.
• CareerEdge: Monash students can access CareerEdge, which provides personalised career guidance based on individual goals, strengths and development needs, alongside industry experiences, networking and employability support.
• Jobs and Opportunities Board: Students can access curated internships, graduate programs, casual and part-time roles, scholarships, volunteering and leadership opportunities from organisations known to Monash.
• Graduate employment: Monash's 2025 Annual Report states that 85% of domestic postgraduate graduates were employed full-time, with a median salary of AUD 100,200. These are University-wide postgraduate outcomes rather than statistics specifically for the Master of Genome Analytics.
• Long-term professional value: Although the degree is not listed as a separate registration-qualifying accredited program, students are specifically trained to interpret genomic results and prepare reports consistent with medical reporting guidelines and accreditation requirements for diagnostic laboratories.
• Graduation outcomes: Monash identifies demand for these skills across diagnostic laboratories, medical and pharmaceutical research, private and public biotechnology companies, universities and CSIRO.

Further Academic Progression:
Students aiming for a research career can select the 24-credit-point GNA5900 Genomics Research Project and Thesis. Monash specifically states that successful completion of the master's may provide a pathway to a graduate research degree, provided the student demonstrates a strong academic record and completes the research-thesis pathway, making progression to a PhD in genomics, genetics, bioinformatics or related biomedical research possible.