PhD Monitor
/Detail
Bioinformatics and Computational Biology● OpenMastersPreview

Master of Science in Quantitative Biology and Bioinformatics

A two-year interdisciplinary master’s programme blending computational methods with biological data analysis and consulting skills.

Best for:Best for students with a strong foundation in biology seeking quantitative skills, or those with quantitative backgrounds looking to specialise in biological data analysis and consulting.

The Australian National University (ANU) · Canberra, Australia
More professors at The Australian National University (ANU)
Computational biologyBiological data analysisStatistical modeling in biologyProgramming for biological dataClient engagement in consulting
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years (full-time)
Start date
Flexible (typically aligned with ANU academic calendar)
Full-time
Location
Canberra
Australia

Overview

The Master of Science in Quantitative Biology and Bioinformatics at The Australian National University (ANU) is a two-year full-time programme designed for students from diverse academic backgrounds. It equips graduates with advanced skills in statistical, mathematical, and computational techniques to analyse biological data. The curriculum bridges biological and quantitative disciplines, offering tailored pathways for students with either a biological or a quantitative undergraduate background. Students also gain practical experience in client engagement and real-world consulting, preparing them for careers at the intersection of biology and data science.

BioinformaticsQuantitative biologyData analysisComputational methodsBiological consultingMathematical modelingProgramming skillsBiological data

What you'll do

  • Develop and apply computational and statistical methods to analyse biological data.
  • Learn programming and mathematical tools essential for biological data processing.
  • Engage in coursework covering biological concepts and data analysis techniques.
  • Gain practical experience in client consulting and real-world data application.
  • Collaborate on projects that bridge biological and quantitative disciplines.
  • Participate in workshops and seminars focused on data-driven biological research.

Requirements

Degree required: Bachelor’s degree in a relevant field (biology or quantitative discipline) with a minimum GPA of 5.0/7.0, and completion of at least 8 courses in a cognate discipline with the same GPA requirement.

Degree offered: Master of Science

Language: English proficiency (not explicitly stated but implied for academic programme)

Instruction: English

Required skills
  • Proven academic performance with a minimum GPA of 5.0/7.0
  • Completion of at least 8 courses in a relevant discipline
  • Basic proficiency in quantitative or biological concepts
Nice to have
Prior exposure to programming or statistical softwareExperience with biological data analysis toolsInterest in interdisciplinary research
Eligibility
  • No specific nationality or residency restrictions mentioned
  • No age restrictions mentioned
  • No prior experience caps mentioned

Funding & terms

Type
Unknown
Amount
—
Duration
2 years (full-time)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: Unknown (programme-based admissions, likely rolling)

Applicants must apply through the official ANU portal. The application process typically requires submitting academic transcripts, proof of English proficiency (if applicable), a personal statement, and any additional documents specified by ANU. Detailed instructions can be found on the ANU programmes and courses website.

Documents required
  • Academic transcripts
  • Proof of English proficiency (if required)
  • Personal statement or research proposal
  • Curriculum Vitae (CV)
↗Check programme and admissions

Contact

Lab
College of Science
The Australian National University (ANU)
Australia
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.