Computational Biology
Postgraduate
In Melbourne (Australia)
Description
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Type
Postgraduate
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Location
Melbourne (Australia)
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Start date
Different dates available
Entry requirements & Prerequisites This major is available through more than one course, both of which have their own separate entry requirements. You can read more on the the Bachelor of Science & Bachelor of Science Extended pages. Available through the Bachelor of Science & Bachelor of Science Extended
Facilities
Location
Start date
Start date
Reviews
Subjects
- Computational
- Biology
- Biomedical
Course programme
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.
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 the Victorian Life Sciences Computation Initiative (VLSCI) which houses one of the fastest super computers in the southern hemisphere. The IBM Blue Gene/Q has 836 teraflops of processing power which is equivalent to over 20,000 desktop computers. Read more . 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.
Computational Biology