Program Requirements
The Master of Science (Advanced) in Quantitative Biology and Bioinformatics degree requires the completion of 96 units, which must consist 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
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
Admission Requirements
A Bachelor degree or international equivalent with a minimum GPA of at least 5.5/7.0, with at least 8 courses in a cognate area.
Cognate Disciplines
Computer science, mathematics, statistics, biology and computational chemistry
English Language Requirements
All applicants must meet the University’s English Language Admission Requirements for Students.
Assessment of Qualifications
Unless otherwise indicated, ANU will accept all Australian Qualifications Framework (AQF) qualifications or international equivalents that meet or exceed the published admission requirements of our programs, provided all other admission requirements are also met. Where an applicant has more than one completed tertiary qualification, ANU will base assessment on the qualification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework: www.aqf.edu.au
ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for admission at ANU will be converted to this common scale, which will determine if an applicant meets our published admission requirements. Find out more about how a 7-point GPA is calculated for Australian universities: www.uac.edu.au/future-applicants/admission-criteria/tertiary-qualifications
Unless otherwise indicated, where an applicant has more than one completed tertiary qualification, ANU will calculate the GPA for each qualification separately. ANU will base assessment on the best GPA of all completed tertiary qualifications of the same level or higher.
Indicative fees
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
For further information on International Tuition Fees see: https://www.anu.edu.au/students/program-administration/fees-payments/international-tuition-fees
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.
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
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
Upon successful completion, students will have the skills and knowledge to:
- demonstrate an understanding of the mathematical and computational foundations of biological data analysis
- formulate and apply appropriate quantitative methods to analyse biological data
- interpret, synthesize and critically analyse published literature of relevance to quantitative biology and bioinformatics
- advise, and provide assistance to others, on the appropriate use of techniques for the analysis of biological data
- develop and execute an independent research project that builds on, and extends, knowledge of quantitative biological data analysis
- demonstrate a critical understanding of science in society
- clearly communicate theory and results in both written and oral formats
Academic Advice
The first step to enrolling in your new program is to seek academic advice in order to discuss the courses you will be studying. This is done by making an appointment to meet with the program convener (details below).
Your academic advice session is a great opportunity to discuss with the convener the direction in which you want your studies to go. The convener will be able to advise you about course selection and content of courses that you will undertake as part of your program. Ideally you should bring along a copy of your academic record/academic transcripts as these will greatly assist your convener when giving you course advice.
To book an appointment you can:
Email: rsb.studentadmin@anu.edu.au
Phone: 02 6125 1070
Please also bring along your Planning Your Program document that is available from the enrolment website and your Postgraduate coursework checklist for new students. These documents will help you plan your degree and assist you with finalising your enrolment.
Further enrolment information can also be found here.
An indicative list of courses offered by Science can be found here.
Please follow each step and read through the additional information in the pdf guides, especially the ISIS enrolment guide in Step 2 and the How to enrol guide for new students in Step 3.
If you have any issues enrolling yourself through ISIS please contact us on 02 6125 2809 or email science.enquiries@anu.edu.au
Do you want to talk to someone before enrolling?
Contact RSB Student Administration at rsb.studentadmin@anu.edu.au
