Master of Biostatistics (Enhanced)

  • CRICOS code: 111031C

The experience


As a Master of Biostatistics (Enhanced) student, you will be stepping into an exciting and rapidly growing field. Learn how to measure, understand and predict health trends in order to improve the quality of people’s lives.

Whether you’re a graduate from the Bachelor of Science or Biomedicine, or looking to upskill in your current industry, graduates from this degree have a chance to address complex biomedical research problems that have tangible impacts in people’s lives.

The day-to-day experience

The Master of Biostatistics (Enhanced) can be studied full time over 24 months or part time over four years. This course offers you flexibility, with study delivered through a combination of on-campus and online subjects for both domestic and international students.

Your learning experience will be uniquely tailored to meet your interests, with many electives available, which are taught collaboratively with other universities involved in the Biostatistics Collaboration of Australia. Including:

  • The University of Queensland
  • Monash University
  • The University of Sydney
  • The University of Adelaide.

You will also be able to complete a detailed research project at the esteemed Melbourne Biomedical Precinct. The Precinct is a world-leading hub that delivers outstanding patient care, cutting-edge research and world-class education, providing the perfect environment for success.


During your Master’s study, you will be taught by leading industry professionals, who can connect you to prospective employment networks and other institutions, not only in Australia but around the world.

Graduates have gone on to work on exciting projects, such as evaluating vaccines in Fiji and improving the treatment of malaria in Myanmar, highlighting the growing global need for experts in biostatistics.

Upon graduating from the Master of Biostatistics (Enhanced), you will be able to join the data revolution spreading across Australia and the world, and be well equipped to utilise big data and statistics to find solutions to complex health problems.