In the Computational Biology major you will gain an understanding of the analysis and interpretation of biological phenomena using mathematical and statistical models, computational tools and the algorithmic design and analysis of such models and tools.

Based in the Parkville biomedical precinct you will learn from academics who are experts in their field and use the latest theories and technologies in their teaching practices. The Parkville biomedical precinct is also home to Melbourne Bioinformatics, a high-end computing facility with over 30 experts assisting researchers and students with data analysis, curation, research design, and computing options. Read more here about how high-end computing is contributing to rapid developments in the Life Sciences.

Luke Zappia

“The last 15 years has seen a massive increase in the amount of biological data we are able to produce. A whole new level of biological complexity is beginning to be revealed which has the potential to affect our future lives.”

Sample course plans

Sample course plans for the BSc [PDF]

  • Career Outcomes

    Computational and mathematical biologists are in great demand in academia, industry, and government where they are investigating problems as diverse as identifying the genetic basis of disease, to predicting how ecological systems will respond to climate change.

    Computational Biologists find employment in academia and industry across a range of areas including:

    • Pharmaceutical
    • Biotechnology
    • Clinical and public health research and government services
    • Software Systems
    • Environmental Management
    • Biofuels
    • Agrotech
    • Consumer Genomics

  • Graduate Pathways

    Graduates who major in Computational Biology will be eligible to apply for the Master of Science (Bioinformatics). You will also be well-placed to apply for:

    • Graduate degrees in science and technology including computer science, mathematics & statistics, information systems and biomedical sciences including biotechnology, epidemiology and biostatistics;
    • Graduate degrees preparing for a wide range of professions including engineering, law, management, medicine and other health sciences and teaching;
    • Masters and Honours pathways to research higher degrees in the sciences and technology within the Faculty of Science and the Faculty of Medicine, Dentistry and Health Sciences.