The Master of Science in Quantitative Biology and Bioinformatics is a 2 year full-time (or equivalent part-time) degree that provides students with experience in the use of methods and tools to organise and analyse biological data: statistically, mathematically and computationally. The course caters to a range of students including (1) students who have come from an undergraduate biological degree, by providing the appropriate mathematical and programming skills; (2) to students with a more quantitative undergraduate background, by providing the necessary background in biology and biological data and analyses. Students also have the opportunity to learn about, and apply, techniques in client engagement and the real-world practice of consulting. Finally, students will develop work on an original research project that builds on, and applies, their knowledge of quantitative biological data analysis

Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide. The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.

The Master of Science in Quantitative Biology and Bioinformatics (Advanced) will give you the skills to pursue career paths in a variety of areas. These could include medical research, genetic testing, government policy, public health, agricultural science, software development and pharmaceutical development.

The Master of Science in Quantitative Biology and Bioinformatics (Advanced) can also lead to PHD

Learning Outcomes

1. Demonstrate an understanding of the mathematical and computational foundations of biological data analysis;
2. Formulate and apply appropriate quantitative methods to analyse biological data;
3. Interpret, synthesize and critically analyse published literature of relevance to quantitative biology and bioinformatics;
4. Advise, and provide assistance to others, on the appropriate use of techniques for the analysis of biological data;
5. Develop and execute an independent research project that builds on, and extends, knowledge of quantitative biological data analysis;
6. Demonstrate a critical understanding of science in society;
7. Clearly communicate theory and results in both written and oral formats.