Master of Science in Quantitative Biology and Bioinformatics (Advanced)
A two-year advanced master’s programme blending computational biology, statistics, and real-world consulting for data-driven biological research.
Best for:Best for graduates with a strong quantitative background (computer science, mathematics, statistics) seeking biological applications, or biology graduates eager to master computational and statistical tools for data-driven research.
Overview
The Master of Science in Quantitative Biology and Bioinformatics at The Australian National University (ANU) is a two-year full-time programme designed to equip students with advanced skills in statistical, mathematical, and computational analysis of biological data. Tailored for both biology graduates needing quantitative training and quantitatively trained students requiring biological context, the course integrates hands-on consulting experience and an original research project. Students develop expertise in analysing complex biological datasets while gaining practical insights into client engagement and industry applications.
What you'll do
- Develop and apply statistical, mathematical, and computational methods to analyse biological data.
- Engage in hands-on consulting projects to understand real-world applications of quantitative biology.
- Conduct an original research project that integrates knowledge of quantitative biological data analysis.
- Learn and apply techniques for organising, processing, and interpreting complex biological datasets.
- Develop skills in client engagement and the practical aspects of consulting in a scientific context.
Requirements
Degree required: Bachelor’s degree in a relevant field (biology or quantitative disciplines such as computer science, mathematics, statistics, or computational chemistry) with a minimum GPA of 5.5/7.0.
Degree offered: Master of Science (by coursework)
Language: English proficiency (not explicitly stated but implied for academic programme).
Instruction: English
- Minimum GPA of 5.5/7.0 in undergraduate studies.
- Completion of at least 8 courses in a cognate discipline with a minimum GPA of 5.5/7.0.
- Completion of at least 4 courses from computer science, mathematics, statistics, or computational chemistry.
- Basic proficiency in programming and statistical analysis tools.
- No explicit nationality or residency restrictions mentioned.
- Minimum GPA requirement of 5.5/7.0 for admission.
Funding & terms
Programme and admissions
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- Intake
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- Prerequisites
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How to apply
Deadline: unknown
Applicants must submit an application through the ANU portal, providing academic transcripts, proof of GPA, and any relevant coursework details. Additional documents may include a personal statement or letters of recommendation, depending on programme requirements.
- Academic transcripts
- Proof of minimum GPA (5.5/7.0)
- Personal statement or research proposal (if required)
- Letters of recommendation (if applicable)
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