Master of Science (Advanced) in Quantitative Biology and Bioinformatics

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.

Employment Opportunities

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 a PhD.

Learning Outcomes

  1. Demonstrate high level knowledge and an understanding of the mathematical, statistical and computational foundations of biological data analysis;

  2. Formulate, apply and interpret 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 and interpretation 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.