single degree

Master of Science (Advanced) in Quantitative Biology and Bioinformatics

A single two year graduate degree offered by the ANU College of Health and Medicine

VSCQB
  • Length 2 year full-time
  • Minimum 96 Units
  • Length 2 year full-time
  • Minimum 96 Units
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.

Career Options

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.

This program is available for applications to commence from first semester, 2018

This program is available for applications to commence from First Semester, 2018

Learning Outcomes

Upon successful completion, students will have the skills and knowledge to:

  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

Admission Requirements

A Bachelor degree or international equivalent

  • with a grade point average of at least 5.5/7
  • with at least 8 courses in a cognate area

Cognate Disciplines

Computer science, mathematics, statistics, biology and computational chemistry

Domestic Tuition Fees (DTF)

For more information see: http://www.anu.edu.au/students/program-administration/costs-fees

Annual indicative fee for international students
$41,280.00

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

Program Requirements

12 units from completion of Science in Society Courses from the following list: 

6 units from completion of the following compulsory course:

BIOL8001 Consulting in Quantitative Biology

A minimum of 6 units from completion of courses in the following list

BIOL6191 Biology, Society and Ethics 
BIOL6201 Big Questions in Biology


18 units from completion of courses from the following list: 

BIOL6200 Introduction to Quantitative Biology
STAT7001 Applied Statistics

A maximum of 6 units from completion of a course from the following list:

BIOL6035 Biology 1: Evolution, Ecology and Genetics
BIOL6036 Biology 2: Molecular and Cell Biology

A maximum of 6 units from completion of a course from the following list:

COMP6730 Programming for Scientists
COMP7230 Introduction to programming for Data Scientists

18 units from completion of Foundations in Quantitative Biology and Bioinformatics courses:

BIOL8002 Advanced Topics in Quantitative Biology and Bioinformatics
COMP8430 Data Wrangling
MATH6100 Bioinformatics and Biological Modelling
STAT6039 Principles of Mathematical Statistics

48 units from completion of BIOL8701 Research Project which must be taken twice in consecutive semesters

Students must achieve a minimum 70% weighted average mark in the first 48 units of courses attempted in order to commence BIOL8701 Research Project.

Students who do not achieve a minimum of 70% weighted average mark will be transferred to the Master of Science in Quantitative Biology and Bioinformatics
 

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