Master of Biostatistics (Enhanced)
Advanced biostatistics training with a research-based project for careers in health, medicine, or further academic study.
Best for:Best for graduates with a Bachelor’s in statistics, mathematics, biomedicine, or related fields seeking advanced biostatistics training and hands-on research experience.
Overview
The Master of Biostatistics (Enhanced) at the University of Melbourne is a four-semester coursework programme designed to equip students with advanced biostatistical skills and a strong foundation in mathematics and probability. Tailored for graduates from diverse disciplines such as statistics, biomedicine, or health sciences, this programme integrates elective subjects, a research-based project under expert supervision, and specialized training in statistical methods for health and medical investigations. Graduates emerge with the skills needed for professional biostatistics roles or to pursue higher research degrees. The curriculum balances theoretical knowledge with practical application, ensuring graduates are well-prepared for careers in academia, industry, or clinical research.
What you'll do
- Complete a range of elective subjects to specialize in biostatistical methods.
- Conduct a research-based project under expert supervision in a health or medical context.
- Develop advanced skills in statistical analysis for health and medical investigations.
- Apply mathematical and probabilistic foundations to real-world biostatistical problems.
- Attain proficiency in using statistical software and tools for data analysis.
- Prepare for professional roles as a biostatistician or further academic research.
Requirements
Degree required: A Bachelor degree in a relevant discipline such as statistics, mathematics, biomedicine, psychology, science, pharmacy, health sciences, or economics from an approved university, with an average mark of at least 70% or equivalent.
Language: English proficiency (not explicitly stated but implied for academic programme).
Instruction: English
- Completion of at least one mathematics subject at tertiary level with an average mark of 65%, including multivariable calculus and linear algebra.
- Strong foundation in mathematics and probability.
- Ability to work independently on research projects.
- Proficiency in statistical software and data analysis tools.
- Must hold a Bachelor’s degree from an approved university.
- Minimum average mark of 70% over the Bachelor’s degree.
- Successful completion of a tertiary-level mathematics subject with an average mark of 65%.
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
- Not confirmed by the source
- Duration
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- Teaching language
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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 CV. Specific requirements may vary, so it is recommended to check the university’s application guidelines.
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (if required)
- Personal statement or statement of purpose
- Curriculum Vitae (CV)
Contact
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