Master of Bioinformatics Research Extensive
A research-focused master’s programme blending bioinformatics theory, hands-on lab work, and industry projects for science, IT, and engineering graduates.
Best for:Best for graduates with a background in science, IT, or engineering who want to deepen their expertise in bioinformatics through research and hands-on experience.
Overview
The Master of Bioinformatics Research Extensive at The University of Queensland is designed for graduates in biological sciences, computing, and mathematics seeking to specialise in bioinformatics. This programme offers a flexible curriculum with over 20 courses, allowing students to tailor their studies to their career goals. A key feature is the immersive research component, where students conduct independent projects either on campus or in industry, gaining practical skills in both computational and laboratory settings. The programme balances theoretical knowledge with applied research, preparing graduates for advanced roles in bioinformatics and related fields.
What you'll do
- Complete a tailored curriculum from over 20 courses to specialise in bioinformatics.
- Conduct an independent research project on campus or in industry to develop practical skills.
- Apply computational and laboratory techniques to solve bioinformatics challenges.
- Collaborate with peers and faculty to advance research in biological data analysis.
- Develop expertise in recent bioinformatics technologies and methodologies.
- Engage in hands-on training to enhance technical and research capabilities.
Requirements
Degree required: A bachelor’s degree (or equivalent) in science, information technology, or engineering, including two courses in any combination of computer science, biology, or statistics OR a bachelor honours degree (or equivalent) in science, information technology, or engineering with a major or minor in bioinformatics.
Language: English proficiency (not explicitly stated but implied for academic study in Australia).
Instruction: English
- Proven academic background in science, IT, or engineering.
- Completion of at least two courses in computer science, biology, or statistics.
- Ability to meet a minimum GPA of 5.5 on a 7-point scale in previous qualifications.
- Basic proficiency in computational and laboratory techniques.
- Hold a bachelor’s degree (or equivalent) in science, IT, or engineering.
- Achieve a minimum GPA of 5.5 on a 7-point scale in previous qualifications.
- Possess relevant prior learning or experience to reduce study duration to 1.5 years (24 units).
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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- Campus
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- Prerequisites
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How to apply
Deadline: unknown
Applicants must submit their application through the university’s official portal. Required documents typically include academic transcripts, proof of English proficiency (if applicable), a personal statement, and a CV. Specific requirements may vary based on eligibility criteria.
- Academic transcripts
- Proof of English proficiency (if applicable)
- Personal statement
- Curriculum Vitae (CV)
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