Genome Analytics - S6005
Master's degree
Become an expert analyst and help lead the change, with a Master of Genome Analytics at Monash University.
The Monash Master of Genome Analytics – the only course of its kind in Australia - will provide you with expert training in bioinformatics, genetics, genomics, and diagnostics. The program’s multidisciplinary structure and focus on industry and clinical application will provide you with hands-on experience to prepare you for your career. You will be part of a unique graduate cohort able to meet the growing demand for expertise in the analysis of genome sequence data.
As a graduate of this degree, you will become a holistically-trained expert, workplace-ready, and equipped with the knowledge and skills to help revolutionise the future of healthcare.
Through the identification of predispositions to disease, the origin of infertility and birth defects, and other genetic disorders, genome analysis is saving lives - but it could be saving many more.
With continued improvements in DNA sequencing technology, genome-based diagnosis and health management, the healthcare system stands at the gateway to a future where diseases are diagnosed early and precise treatments provided. However, in the absence of enough specialist genome analysts, we cannot translate and expand the discoveries from genome sequencing to the healthcare system, and ultimately improve health.
We need diligent, detail-oriented health and science graduates who are driven by the opportunity to better understand the genetic contributions to disease, to consider a new focus in their careers and study our highly specialised Master of Genome Analytics.
We will train you in specific technical and professional skills so that you are equipped to help the world take the next crucial steps in diagnostics and genomic medicine. Our course’s multidisciplinary structure and focus on application in industry and clinical environments, will prepare you to turn theory into real-world outcomes and set you up for an outstanding professional career.
WHO YOU'LL BE WORKING WITH
- Professor Robert Bryson Richardson (Course Director)
- Dr Hendrika Duivenvoorden (Course Coordinator)
- Ms Jennifer Lickiss
- Dr Thanh Nha Uyen
- Ms Fiona Cunningham
- Ms Amanda Springer
- Associate Professor Sefi Rosenbluh
- Dr Jeremy Barr
- Dr Mike McDonald
- Dr Kay Hodgins
- Dr Matt McGee
- Dr Richard Burke
- Professor Colby Zaph
CAREER OUTCOMES
The course is focused on training the next generation of experts in diagnostic genomics, with the career outcome being a Medical Scientist in a diagnostic laboratory.
The skills are also in demand in other areas including:
- medical and pharmaceutical research
- private and public biotechnology companies
- universities
- CSIRO.
If you have more questions, please get in touch.
Book a one-on-one phone or Zoom consultation with the Course Director or Course Coordinator
At a glance
Course Details
Location |
|
|---|---|
Duration |
2 years/1.5 years depending on prior study (full time) |
Start date |
Applicants for 2 year version commence in July; Applicants for 1.5 year version commence in February |
Qualification |
Master of Genome Analytics |
Entry Requirements
You need to satisfy the following entrance requirements to be considered for entry to this course.
Minimum Entry Requirements (Domestic students)
Qualifications
| Entry level 1: 96 points to complete – Duration: 2 years full-time, 4 years part-time | An Australian bachelor degree (or equivalent) with at least first year Biology, or related discipline studies and at least 60% (credit) average overall, or equivalent qualification and experience approved by the faculty leading the specialisation. |
| Entry level 2: 72 points to complete – Duration: 1.5 years full-time, 3 years part-time | An Australian bachelor degree (or equivalent) in genetics, or a cognate discipline such as bioinformatics, biomedical sciences or molecular biology that includes knowledge of fundamental genetics concepts with at least 60% (credit) average, or equivalent qualification and experience. |
English requirements
Applicants must also meet the English language requirements.
University entrance requirements
Minimum entrance requirements for admission to Monash University Australia.
The course structure and progression map can be viewed in the Handbook.
Making the application
Future students
Semester one (February)
Students applying for level 2 entry (i.e. bachelor degree (or equivalent) in genetics, or a cognate discipline such as bioinformatics, biomedical sciences, or molecular biology that includes knowledge of fundamental genetics concepts), apply directly to Monash using course code S6005.
Semester two (July)
Students applying for level 1 entry (i.e. bachelor degree with at least first year biology), apply directly to Monash using course code S6005.
Current Monash students
You may apply to transfer from another Monash course. Transfers are a competitive process. You may apply mid-year for available courses however consideration will be given as to whether you will be able to follow your course progression.
Please note that if you apply for a course transfer, you should still enrol in your current course as if you were continuing so as not to jeopardise your enrolment in the Faculty if your transfer application is unsuccessful. More about Course Transfer.
Self assess for credit eligibility
Check for study credit using the "Credit search" link on the Credit for prior study page.
Fees
Fees are subject to change annually.
Full fee
Fees are per 48 credit points which represents a standard full-time course load for a year. The fees for 2026 are:
A$46,400
Fee assistance
As a full fee-paying student, you may be eligible to apply for the optional FEE-HELP to assist you to pay all or part of your tuition fees.
Scholarships
We offer over 360 types of scholarships, valued at up to $280,000. Some scholarships offer one-off payments while others continue for the length of your course. Learn more about Monash Scholarships.
Other costs and fees
For information on other study costs and fees, see other study costs.
