Master of Science in Quantitative Biology and Bioinformatics

Summary

CRICOS course code: 096439G
Level of study: Postgraduate

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 organize and analyze 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.
Employment Opportunities
The Master of Science in Quantitative Biology and Bioinformatics provides you with skills that are in high demand in a variety of areas including forensic science, agri-technology, the pharmaceutical industry, medical research, bioengineering and biotechnology.
Learning Outcomes
1. demonstrate high level knowledge and an understanding of the mathematical and computational foundations of biological data analysis;
2. formulate and apply appropriate quantitative methods to analyze biological data problems;
3. interpret, synthesize and critically analyze 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. demonstrate a critical understanding of science in society.
6. clearly communicate theory and results in both written and oral formats.

Key Information
Visa Information
* Austrade is passing on information provided by the institution and makes no representation about the accuracy of the information provided. Check with the institution before you make any decision.

Search

Similar course options