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Monash University

Graduate Diploma in Biostatistics

Course code: 3421 ~ Course abbreviation: GradDipBiostats ~ Total credit points required: 48 ~ 4 semesters part-time ~ Managing faculty: Medicine, Nursing and Health Sciences

Study mode and course location

Off-campus (Alfred Hospital, Melbourne - P/T only)

Course description

This course provides a broad range of theory and techniques especially designed for health professionals. The degree assists in understanding the mathematical background, theory and application of the principles of epidemiology and biostatistics in health and medical research. It also enables candidates to develop the analytical skills to become statistically self-sufficient. The course articulates with the Master of Biostatistics.

Course objectives

On completion of this course, students will be able to: demonstrate a broad understanding of the mathematical background, theory and application of the principles of epidemiology and biostatistical methods in health and medical research; have acquired skills in data management and statistical analyses to handle a variety of practical problems using modern statistical techniques and software; have developed skills to identify the relevant statistical issues in practical problems in medical/health settings and to propose and implement an appropriate statistical design and/or analysis methodology; have developed skills and demonstrated ability to present statistical results in a format suitable for publication in health-related journals or professional reports; have acquired the technical skills to be able to read the biostatistical literature and implement new methodology described therein; have developed the practical and technical skills to progress to further postgraduate studies in biostatistics.

Course structure

Course requirements

This course comprises the following units:

Core units

  • EPM5002 Mathematical background for biostatistics
  • EPM5003 Principles of statistical inference (not offered in 2007)
  • EPM5004 Linear models
  • EPM5005 Data management and statistical computing
  • EPM5007 Design of experiments and clinical trials
  • EPM5009 Categorical data and generalised linear models
  • EPM5014 Probability and distribution theory
  • MPH1040 Introductory epidemiology

Elective units

  • EPM5001 Health indicators and health surveys
  • EPM5006 Clinical biostatistics
  • EPM5008 Longitudinal and correlated data analysis
  • EPM5010 Survival analysis
  • EPM5012 Bioinformatics and statistical genetics
  • EPM5013 Bayesian statistical methods
  • EPM5015 Biostatistics practical project - single unit
  • EPM5016 Advanced clinical trials


Assessment includes written assignments, practical exercises and examinations.

Contact details

Postgraduate office: telephone +61 3 9903 0563; email or visit

Course coordinator

Associate Professor Andrew Forbes