GraduateBiology & Life Sciences

Master of Science (Bioinformatics)

University of Melbourne, Melbourne, VIC, Australia

About this program

The Master of Science (Bioinformatics) at the University of Melbourne combines genetics, biology and biochemistry with computer science and applied mathematics to decode complex biological data. Students complete a 200-point course tailored to their academic background in the first year, then broaden into advanced analysis techniques and a 50-point research project addressing real industry and academic challenges.
Graduates apply their expertise across healthcare, research and biotechnology, in a field described as among the key sciences defining this century.

Fees & duration

Duration2 yr
Tuition (international)A$67,900
Application feeA$154

English test scores

IELTS6.5 overall (W6)
PTE64 overall

Verified study.unimelb.edu.au ↗

Course structure

Study plan in 12 parts

Structure

  • Completion of one entry point program is required
  • Two entry point programs: 200pt Program and 150pt Program (Bioinformatics cognate pathway)
  • Exemptions are granted for students who have completed equivalent subjects in their undergraduate studies

Students must take

  • Elements of Bioinformatics
  • Algorithms and Complexity
  • Introduction to Programming
  • Skills for Data-intensive Research

and both of

  • Thinking and Reasoning with Data
  • High-Dimensional Omics Data Analysis

or both of

  • Probability for Statistics
  • Statistics

Students must take

  • Fundamentals of Cell Biology
  • Foundations of Genetics and Genomics

Students must take one 12.5 credit point General elective subject.

  • Genomics and Bioinformatics
  • Advanced Molecular Biology Techniques
  • Bayesian Statistical Learning
  • Database Systems & Data Modelling
  • Declarative Programming
  • Digital Transformation of Health
  • Epidemiology 1
  • Food Safety and Quality
  • Internet Technologies
  • Introduction to Machine Learning
  • Biomedical Enterprise Research to Impact
  • Machine Learning Applications for Health
  • Programming and Software Development
  • Regression Methods in Health Research
  • and 7 more subjects

Students must take

  • Statistics for Bioinformatics
  • Bioinformatics Case Studies
  • Algorithms for Bioinformatics
  • Computational Genomics

Professional Skills subject

  • Communication for Research Scientists

Stream A

  • Bioinformatics Research Project Pt 1
  • Bioinformatics Research Project Pt 2
  • Bioinformatics Research Project Pt 3

Stream B

  • Bioinformatics Research Project Pt 3
  • Bioinformatics Research Project Pt 4

Stream C

  • Bioinformatics Research Project Pt 1
  • Bioinformatics Research Project Pt 2

Stream D

  • Bioinformatics Research Project Pt 2
  • Bioinformatics Research Project Pt 3

Admissions

To be considered for entry into this course, you must: Have completed a bachelor degree (AQF7) in a cognate (relevant) discipline with a weighted average mark (WAM) of 65% in the best 50 points of appropriate discipline studies in the final year, or equivalent. Cognate (relevant) disciplines include: Biology and biomedicine, mathematics and statistics, or computer science. And Have completed below prerequisite subject(s): MAST10005 Calculus 1 (or equivalent). The University of Melbourne is committed to maintaining a transparent admissions policy by clearly communicating all entry scores to prospective students. Entry requirements to the University of Melbourne are regularly reviewed to ensure they align with the University's Selection and Admissions Policy . The entry requirements published for this course will apply from the start year 2027 intake onwards.

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