Master of Science in Bioinformatics
Interdisciplinary master’s programme blending biology, computer science, and statistics to develop computational tools for biological research.
Best for:Best for graduates with a background in biology, biomedicine, mathematics, statistics, or computer science seeking to specialize in computational biology and bioinformatics.
Overview
The Master of Science in Bioinformatics at the University of Melbourne integrates genetics, molecular biology, and physiology with computer science, statistics, and applied mathematics. This coursework-based programme, featuring a major research project, equips students with the skills to design computational tools for unlocking biological data. It caters to applicants from diverse backgrounds—biology, biomedicine, mathematics, statistics, or computer science—ensuring broad accessibility. The programme emphasizes hands-on learning, combining theoretical foundations with practical research experience to prepare graduates for careers at the intersection of biology and technology.
What you'll do
- Complete a major research project to apply bioinformatics techniques to real-world biological data.
- Develop computational tools and algorithms for analyzing biological datasets.
- Engage in coursework covering foundational topics in bioinformatics, computer science, and statistics.
- Collaborate with faculty and peers on interdisciplinary research projects.
- Apply mathematical and statistical methods to solve biological problems.
- Conduct literature reviews and present findings in academic or professional settings.
Requirements
Degree required: An undergraduate degree (or equivalent) in a directly related discipline such as biology, biomedicine, mathematics, statistics, or computer science, with a minimum Weighted Average Mark (WAM) of 65% in the best 50 points of relevant third-year studies.
Language: English proficiency (not explicitly stated but implied for academic coursework).
Instruction: English
- Completion of a calculus course equivalent to MAST10005 Calculus 1.
- Strong foundational knowledge in biology, mathematics, or computer science.
- Ability to analyze and interpret biological data.
- Proficiency in statistical analysis and modeling.
- No specific nationality or residency restrictions mentioned.
- Applicants must meet the minimum academic requirements for the degree.
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: unknown
Applicants must submit their application through the official University of Melbourne graduate admissions portal. Required documents typically include academic transcripts, proof of English proficiency (if applicable), a personal statement, and a curriculum vitae. Specific requirements may vary, so it is recommended to check the university’s application guidelines.
- Academic transcripts
- Proof of English proficiency (if required)
- Personal statement
- Curriculum Vitae (CV)
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