single degree

Master of Science in Quantitative Biology and Bioinformatics

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

NSCQB
  • Length 2 year full-time
  • Minimum 96 Units
  • Length 2 year full-time
  • Minimum 96 Units
Master of Science 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.

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 high level knowledge and an understanding of the mathematical and computational foundations of biological data analysis;

2.     formulate and apply appropriate quantitative methods to analyse biological data problems;

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.     demonstrate a critical understanding of science in society.

6.     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 5/7.
  • With at least 8 courses in a cognate area
Cognate Disciplines
Computer science, mathematics, statistics, biology, 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

A minimum of 24 units must come from completion of 8000-level courses.

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

6 units from completion of a Foundations in Quantitative Biology and Bioinformatics course from the following list:

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

A minimum of 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
ENVS6013 Society and Environmental Change
POGO8093 Science, Innovation and Public Policy
SCOM8014 Communicating Science with the Public 
SCOM6012 Science Communication and the Web
SCOM6003 Science in Popular Fiction
SCOM6015 Speaking of Science
SCOM6016 Science in the Media
SCOM6017 Science Events for Public Engagement
SCOM6027 Science and Public Policy
SCOM6029 Cross Cultural Perspectives in Science Communication
SCOM6030 Science Dialogue Theory and Practice
SCOM6031 Science, Risk and Ethics
SCOM6032 Making Modern Science
SCOM6501 Strategies in Science Communication
SCNC8000 Science Internship
VCPG6003 Leadership and Influence in a Complex World
VCPG6004 Creating Impact
VCPG6002 Mobilising Research
VCPG6001 Unravelling Complexity

18 units from completion of Extensions in Quantitative Biology and Bioinformatics courses from the following list:

COMP8410 Data Mining
BIOL6243 Bioinformatics and Functional Genomics
MATH6208 Advanced Mathematical Bioinformatics
STAT7004 Introduction to Stochastic Processes

A maximum of 18 units from completion of further courses from 

Foundations in Quantitative Biology and Bioinformatics courses list

24 units from completion of 6000, 7000 or 8000-level courses from the following subject areas:

BIOL Biology
COMP Computer Science
MATH Mathematics
STAT Statistics
ENGN Engineering
 

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